| data science side hustle: Chemical Process Safety Roy E. Sanders, 2011-08-30 Gives insight into eliminating specific classes of hazards, while providing real case histories with valuable messages. There are practical sections on mechanical integrity, management of change, and incident investigation programs, along with a long list of helpful resources. New chapter in this edition covers accidents involving compressors, hoses and pumps. - Stay up to date on all the latest OSHA requirements, including the OSHA required Management of Change, Mechanical Integrity and Incident Investigation regulations - Learn how to eliminate hazards in the design, operation and maintenance of chemical process plants and petroleum refineries - World-renowned expert in process safety, Roy Sanders, shows you how to reduce risks in your plant - Learn from the mistakes of others, so that your plant doesn't suffer the same fate - Save lives, reduce loss, by following the principles outlined in this must-have text for process safety. There is no other book like it! |
| data science side hustle: Clever Girl Finance: The Side Hustle Guide Bola Sokunbi, 2021-06-29 Get the straight goods on how to build a thriving side hustle from someone who’s been there before In Clever Girl Finance: The Side Hustle Guide, celebrated finance expert, influencer, CEO, and author Bola Sokunbi delivers your own personal key to unlocking more money, more freedom, and more security in your life. You’ll find out how to achieve financial prosperity by leveraging a side hustle business to increase your income and build wealth. You’ll discover how to: Build your confidence, eliminate your fears, and strengthen your focus Establish a strong foundation for your new business, even without prior experience Create a solid plan to brand, market, and grow a business your customers won’t be able to get enough of Write a realistic financial plan for your side hustle and to create long-term wealth Perfect for those with a side hustle dream and some energy to spare, Clever Girl Finance: The Side Hustle Guide will also earn a place in the libraries of anyone who’s ever thought about building a successful and profitable side hustle from the ground up but didn’t know where to start. |
| data science side hustle: AI Side Hustle Secrets: Harnessing ChatGPT for Profit Alex Stirling, 2024-01-13 AI Side Hustle Secrets: Harnessing ChatGPT for Profit is an essential guide for entrepreneurs, freelancers, and innovators looking to tap into the revolutionary world of artificial intelligence for generating income. This book demystifies the complex landscape of AI, specifically focusing on the groundbreaking capabilities of ChatGPT, and provides readers with practical strategies to create profitable side hustles. Beginning with a comprehensive introduction to AI and the intricacies of ChatGPT, the book sets a solid foundation for understanding the power and potential of this technology. Readers will learn about the history and development of AI, ChatGPT's unique features, and the ethical considerations and limitations of using AI in business. The journey continues with a deep dive into preparing for an AI side hustle. From conducting thorough market research to developing a robust business plan, the book equips aspiring entrepreneurs with the tools and knowledge needed to identify and capitalize on lucrative opportunities in the AI space. Delving into a plethora of innovative side hustle ideas, the book explores how ChatGPT can be leveraged in diverse fields such as content creation, education, data analysis, and even creative arts. Each idea is presented with actionable steps, making it easy for readers to start their own AI-driven ventures. Implementation is key, and AI Side Hustle Secrets doesn't fall short. It guides readers through setting up their business, integrating ChatGPT effectively, and employing strategies for marketing and growth. Inspirational case studies of successful AI side hustles provide real-world insights and motivation. The book concludes by addressing common challenges in the AI side hustle journey and offering a glimpse into future AI trends. This forward-looking perspective ensures that readers are not only prepared for the current landscape but are also equipped to adapt to future advancements in AI. Whether you're a seasoned entrepreneur looking for your next big venture or a beginner curious about the opportunities AI presents, AI Side Hustle Secrets: Harnessing ChatGPT for Profit is your go-to resource for turning AI into a profitable and rewarding endeavor. |
| data science side hustle: How to Launch Your Side Hustle Troy R. Underwood, 2020-01-07 This book will teach you how to start, scale, and sell a small business from scratch. It is intended for entrepreneurs of all levels, from first-time business owners to seasoned executives looking for a new perspective. Once you've dug up enough pennies from between the couch cushions to start a new business, you're going to need a plan. How to Launch Your Side Hustle will walk you through the process of crafting your venture. Author Troy R. Underwood, a trained software developer and entrepreneur, emphasizes using low-cost techniques and creative ideas to finance, market, and run your business, even as it gains momentum. Using his previous company as a model of what to do—and sometimes what not do to—Underwood candidly takes you through the steps of building your business, guided by the principle of necessity. Each chapter is dedicated to a particular facet of business, from hiring and training the right people to pricing your product or service, buying the right software and tools, navigating legal issues, and understanding when it's time to sell the business. This book provides you with basic best practices in a quick and simple format, so you can get back to work on turning your aspirations into a reality. |
| data science side hustle: 100 Side Hustles Chris Guillebeau, 2019-06-04 Best-selling author Chris Guillebeau presents a full-color ideabook featuring 100 stories of regular people launching successful side businesses that almost anyone can do. This unique guide features the startup stories of regular people launching side businesses that almost anyone can do: an urban tour guide, an artist inspired by maps, a travel site founder, an ice pop maker, a confetti photographer, a group of friends who sell hammocks to support local economies, and many more. In 100 Side Hustles, best-selling author of The $100 Startup Chris Guillebeau presents a colorful idea book filled with inspiration for your next big idea. Distilled from Guillebeau's popular Side Hustle School podcast, these case studies feature teachers, artists, coders, and even entire families who've found ways to create new sources of income. With insights, takeaways, and photography that reveals the human element behind the hustles, this playbook covers every important step of launching a side hustle, from identifying underserved markets to crafting unique products and services that spring from your passions. Soon you'll find yourself joining the ranks of these innovative entrepreneurs--making money on the side while living your best life. |
| data science side hustle: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-24 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
| data science side hustle: Smarter Data Science Neal Fishman, Cole Stryker, 2020-04-09 Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations. |
| data science side hustle: The Art of Less Doing: One Entrepreneur's Formula for a Beautiful Life Ari Meisel, 2016-05-26 At the peak of his career and success, Ari Meisel nearly killed himself from exhaustion and overwork. He had to make a choice: he could let his success destroy him physically and mentally, or he could find a better way to live. He spent the next few years redesigning his life from scratch. Ultimately he found the way to reduce his workload by 80%, while actually increasing results and success. Furthermore, he could spend time on what matters most: his family. This book describes his method. Using Meisel's revolutionary Optimize, Automate, Outsource approach, you will learn how to take almost anything you do and make it work smarter, instead of harder. Modern methods like the 80/20 rule, the 3 D's, and multi-platform repurposing let you build a high-powered, traditional-style success factory that only requires one employee to run. Less work, more results, more happiness. |
| data science side hustle: The Ideal Team Player Patrick M. Lencioni, 2016-04-25 In his classic book, The Five Dysfunctions of a Team, Patrick Lencioni laid out a groundbreaking approach for tackling the perilous group behaviors that destroy teamwork. Here he turns his focus to the individual, revealing the three indispensable virtues of an ideal team player. In The Ideal Team Player, Lencioni tells the story of Jeff Shanley, a leader desperate to save his uncle’s company by restoring its cultural commitment to teamwork. Jeff must crack the code on the virtues that real team players possess, and then build a culture of hiring and development around those virtues. Beyond the fable, Lencioni presents a practical framework and actionable tools for identifying, hiring, and developing ideal team players. Whether you’re a leader trying to create a culture around teamwork, a staffing professional looking to hire real team players, or a team player wanting to improve yourself, this book will prove to be as useful as it is compelling. |
| data science side hustle: Business Statistics for Contemporary Decision Making Ignacio Castillo, Ken Black, Tiffany Bayley, 2023-05-08 Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace. |
| data science side hustle: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-06 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
| data science side hustle: Data Science For Dummies Lillian Pierson, 2021-08-20 Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today. |
| data science side hustle: Data Science Job: How to become a Data Scientist Przemek Chojecki, 2020-01-31 We’re living in a digital world. Most of our global economy is digital and the sheer volume of data is stupendous. It’s 2020 and we’re living in the future. Data Scientist is one of the hottest job on the market right now. Demand for data science is huge and will only grow, and it seems like it will grow much faster than the actual number of data scientists. So if you want to make a career change and become a data scientist, now is the time. This book will guide you through the process. From my experience of working with multiple companies as a project manager, a data science consultant or a CTO, I was able to see the process of hiring data scientists and building data science teams. I know what’s important to land your first job as a data scientist, what skills you should acquire, what you should show during a job interview. |
| data science side hustle: Data Science Strategy For Dummies Ulrika Jägare, 2019-06-12 All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s important Adopt a data-driven mindset as the foundation to success Understand the processes and common roadblocks behind data science Keep your data science program focused on generating business value Nurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value. |
| data science side hustle: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
| data science side hustle: The Gig Economy Diane Mulcahy, 2016-11-15 Today, most Americans are working in the gig economy--mixing together short-term jobs, contract work, and freelance assignments. Learn how to embrace the independent and self-sufficient world of freelance! The Gig Economy is your guide to this uncertain but ultimately rewarding world. Packed with research, exercises, and anecdotes, this eye-opening book supplies strategies--ranging from the professional to the personal--to help you leverage your skills, knowledge, and network to create your own career trajectory. In this book, you will learn how to: Construct a life based on your priorities and vision of success Cultivate connections without networking Create your own security Build flexibility into your financial life Face your fears by reducing risk Corporate jobs are not only unstable--they’re increasingly scarce. It’s time to take charge of your own career and lead the life you want, one immune to the impulsive whims of an employer looking only at today’s bottom line. Start mapping out your place in the gig economy today! |
| data science side hustle: Bullshit Jobs David Graeber, 2019-05-07 From David Graeber, the bestselling author of The Dawn of Everything and Debt—“a master of opening up thought and stimulating debate” (Slate)—a powerful argument against the rise of meaningless, unfulfilling jobs…and their consequences. Does your job make a meaningful contribution to the world? In the spring of 2013, David Graeber asked this question in a playful, provocative essay titled “On the Phenomenon of Bullshit Jobs.” It went viral. After one million online views in seventeen different languages, people all over the world are still debating the answer. There are hordes of people—HR consultants, communication coordinators, telemarketing researchers, corporate lawyers—whose jobs are useless, and, tragically, they know it. These people are caught in bullshit jobs. Graeber explores one of society’s most vexing and deeply felt concerns, indicting among other villains a particular strain of finance capitalism that betrays ideals shared by thinkers ranging from Keynes to Lincoln. “Clever and charismatic” (The New Yorker), Bullshit Jobs gives individuals, corporations, and societies permission to undergo a shift in values, placing creative and caring work at the center of our culture. This book is for everyone who wants to turn their vocation back into an avocation and “a thought-provoking examination of our working lives” (Financial Times). |
| data science side hustle: Business Analytics Mary Ellen Gordon, 2023-05-24 This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement. Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data. Key features include: • Analytics in Practice vignettes show how data and analytics have been applied in real organisations • Video interviews with industry professionals bring examples to life • A running case study and accompanying dataset allow you to apply what you have learnt Suitable for undergraduate and postgraduate students studying business analytics. Mary Ellen Gordon is Senior Professional Teaching Fellow/Senior Lecturer in the School of Information Systems at the Victoria University of Wellington, New Zealand. |
| data science side hustle: Modern Fortran Milan Curcic, 2020-10-07 Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you’ll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. Summary Using Fortran, early and accurate forecasts for hurricanes and other major storms have saved thousands of lives. Better designs for ships, planes, and automobiles have made travel safer, more efficient, and less expensive than ever before. Using Fortran, low-level machine learning and deep learning libraries provide incredibly easy, fast, and insightful analysis of massive data. Fortran is an amazingly powerful and flexible programming language that forms the foundation of high performance computing for research, science, and industry. And it's come a long, long way since starting life on IBM mainframes in 1956. Modern Fortran is natively parallel, so it's uniquely suited for efficiently handling problems like complex simulations, long-range predictions, and ultra-precise designs. If you're working on tasks where speed, accuracy, and efficiency matter, it's time to discover—or re-discover—Fortran.. About the technology For over 60 years Fortran has been powering mission-critical scientific applications, and it isn't slowing down yet! Rock-solid reliability and new support for parallel programming make Fortran an essential language for next-generation high-performance computing. Simply put, the future is in parallel, and Fortran is already there. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you'll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. What's inside Fortran's place in the modern world Working with variables, arrays, and functions Module development Parallelism with coarrays, teams, and events Interoperating Fortran with C About the reader For developers and computational scientists. No experience with Fortran required. About the author Milan Curcic is a meteorologist, oceanographer, and author of several general-purpose Fortran libraries and applications. Table of Contents PART 1 - GETTING STARTED WITH MODERN FORTRAN 1 Introducing Fortran 2 Getting started: Minimal working app PART 2 - CORE ELEMENTS OF FORTRAN 3 Writing reusable code with functions and subroutines 4 Organizing your Fortran code using modules 5 Analyzing time series data with arrays 6 Reading, writing, and formatting your data PART 3 - ADVANCED FORTRAN USE 7 Going parallel with Fortan coarrays 8 Working with abstract data using derived types 9 Generic procedures and operators for any data type 10 User-defined operators for derived types PART 4 - THE FINAL STRETCH 11 Interoperability with C: Exposing your app to the web 12 Advanced parallelism with teams, events, and collectives |
| data science side hustle: The Side Hustle Nick Loper, 2019-04-22 Make Money and Live BetterThe Side Hustle is for people who want or need to earn some extra money outside of their day jobs. Maybe you need a few extra dollars to make ends meet. Maybe you want to pay off debt.Maybe you want to save for a rainy day or for your children's education. Maybe you just want to treat yourself to a nice vacation or a new car without feeling guilty about it. Maybe you're looking for a way out of the corporate world, an escape plan. That's the ultimate financial freedom, right?That's how I got started down this entrepreneurial path, and it's the best choice I ever made.You're willing to work for it because your future is worth working for.But your time is limited, and you may not know where to start. There are a million and one ways to make money online and everyone wants to sell you their proven system for Internet riches. It's hard to tell what's a scam and what's legit. Real-World ExamplesThis book offers real-world examples of how regular people just like you and me are earning side hustle income outside of traditional employment. Many have even turned these part-time ventures into full-time businesses, throwing off the shackles of their corporate overlords for good.And the cool thing is, there are no special technical skills or prerequisites to get started with any of the ideas presented. Most don't require any big scary upfront investment. (If you're a fan of Chris Guillebeau, Pat Flynn, or Tim Ferriss, you'll love this!)Why Side Hustle?> Build Skills Build Security Build Income Build Freedom My StoryAfter college, I did what you're supposed to do: I got a job.The problem was almost immediately I found myself looking for a way out. It wasn't that I hated the work or my coworkers, but it just wasn't what I wanted to do with my life. The thought of spending my next 30 years there was terrifying.So evenings and weekends I turned my attention online. I'd been dabbling with building rudimentary websites, learning online advertising channels, and even running my own small marketing campaigns for other companies' products to test the waters. And that's what The Side Hustle is about-finding a low-risk way make more money. Most entrepreneurship books assume you have limitless time and limitless startup capital, but I know from talking to thousands of side hustlers, that's simply not the reality. I started small and lean, but steadily built up my side hustle until I could say good-bye to corporate work. You can do it, too. I'll show you how.What's Inside?If you're looking for a get-rich-quick-scheme or the secret to overnight success, you won't find it here. But what you will find are the Big 3 side hustle business models you can take action on right away.I've interviewed hundreds of profitable side hustlers on The Side Hustle Show to figure out how their businesses work, how they make money, and most importantly, how you can replicate their success.In this book, you'll meet these real-world side hustlers who built and sustained businesses they care about. They faced the same fears and uncertainties you're wrestling with, but made something happen.Now it's your turn. What are you waiting for? The timing will never be perfect. Scroll up and hit the Buy Now button to grab your copy now! |
| data science side hustle: Learning SQL Alan Beaulieu, 2009-04-11 Updated for the latest database management systems -- including MySQL 6.0, Oracle 11g, and Microsoft's SQL Server 2008 -- this introductory guide will get you up and running with SQL quickly. Whether you need to write database applications, perform administrative tasks, or generate reports, Learning SQL, Second Edition, will help you easily master all the SQL fundamentals. Each chapter presents a self-contained lesson on a key SQL concept or technique, with numerous illustrations and annotated examples. Exercises at the end of each chapter let you practice the skills you learn. With this book, you will: Move quickly through SQL basics and learn several advanced features Use SQL data statements to generate, manipulate, and retrieve data Create database objects, such as tables, indexes, and constraints, using SQL schema statements Learn how data sets interact with queries, and understand the importance of subqueries Convert and manipulate data with SQL's built-in functions, and use conditional logic in data statements Knowledge of SQL is a must for interacting with data. With Learning SQL, you'll quickly learn how to put the power and flexibility of this language to work. |
| data science side hustle: Fifty Challenging Problems in Probability with Solutions Frederick Mosteller, 2012-04-26 Remarkable puzzlers, graded in difficulty, illustrate elementary and advanced aspects of probability. These problems were selected for originality, general interest, or because they demonstrate valuable techniques. Also includes detailed solutions. |
| data science side hustle: The Million-Dollar, One-Person Business, Revised Elaine Pofeldt, 2018-01-02 The self-employment revolution is here. Learn the latest pioneering tactics from real people who are bringing in $1 million a year on their own terms. Join the record number of people who have ended their dependence on traditional employment and embraced entrepreneurship as the ultimate way to control their futures. Determine when, where, and how much you work, and by what values. With up-to-date advice and more real-life success stories, this revised edition of The Million-Dollar, One-Person Business shows the latest strategies you can apply from everyday people who--on their own--are bringing in $1 million a year to live exactly how they want. |
| data science side hustle: How to Sell Anything to Anybody Joe Girard, 2006-02-07 Joe Girard was an example of a young man with perseverance and determination. Joe began his working career as a shoeshine boy. He moved on to be a newsboy for the Detroit Free Press at nine years old, then a dishwasher, a delivery boy, stove assembler, and home building contractor. He was thrown out of high school, fired from more than forty jobs, and lasted only ninety-seven days in the U.S. Army. Some said that Joe was doomed for failure. He proved them wrong. When Joe started his job as a salesman with a Chevrolet agency in Eastpointe, Michigan, he finally found his niche. Before leaving Chevrolet, Joe sold enough cars to put him in the Guinness Book of World Records as 'the world's greatest salesman' for twelve consecutive years. Here, he shares his winning techniques in this step-by-step book, including how to: o Read a customer like a book and keep that customer for life o Convince people reluctant to buy by selling them the right way o Develop priceless information from a two-minute phone call o Make word-of-mouth your most successful tool Informative, entertaining, and inspiring, HOW TO SELL ANYTHING TO ANYBODY is a timeless classic and an indispensable tool for anyone new to the sales market. |
| data science side hustle: Work, Money and Duality Raven Bowen, 2021-05-19 Winner of the British Society of Criminology Annual Book Prize 2022. This valuable exploration of work duality calls for recognition of the experiences of sex workers, featuring the accounts of individuals who take extraordinary risks to hold jobs in both sex industries and non-sex work employment. |
| data science side hustle: Rework Jason Fried, David Heinemeier Hansson, 2010-03-09 Rework shows you a better, faster, easier way to succeed in business. Most business books give you the same old advice: Write a business plan, study the competition, seek investors, yadda yadda. If you're looking for a book like that, put this one back on the shelf. Read it and you'll know why plans are actually harmful, why you don't need outside investors, and why you're better off ignoring the competition. The truth is, you need less than you think. You don't need to be a workaholic. You don't need to staff up. You don't need to waste time on paperwork or meetings. You don't even need an office. Those are all just excuses. What you really need to do is stop talking and start working. This book shows you the way. You'll learn how to be more productive, how to get exposure without breaking the bank, and tons more counterintuitive ideas that will inspire and provoke you. With its straightforward language and easy-is-better approach, Rework is the perfect playbook for anyone who’s ever dreamed of doing it on their own. Hardcore entrepreneurs, small-business owners, people stuck in day jobs they hate, victims of downsizing, and artists who don’t want to starve anymore will all find valuable guidance in these pages. |
| data science side hustle: Dream Big. Hustle Hard. Abadesi Osunsade, 2017-11-29 Since launching her career advancement community, Hustle Crew, in autumn 2016, Abadesi Osunsade has helped thousands of 20-somethings from diverse backgrounds land jobs in tech or progress their careers. In this book she outlines how she navigated the industry with zero coding skills and won roles at major tech players including Amazon and Groupon. Each chapter contains anecdotes, activities and frameworks which will give ambitious individuals the motivation and tools they need to maximise their potential in a competitive career landscape. |
| data science side hustle: The Mom Test Rob Fitzpatrick, 2013-10-09 The Mom Test is a quick, practical guide that will save you time, money, and heartbreak. They say you shouldn't ask your mom whether your business is a good idea, because she loves you and will lie to you. This is technically true, but it misses the point. You shouldn't ask anyone if your business is a good idea. It's a bad question and everyone will lie to you at least a little . As a matter of fact, it's not their responsibility to tell you the truth. It's your responsibility to find it and it's worth doing right . Talking to customers is one of the foundational skills of both Customer Development and Lean Startup. We all know we're supposed to do it, but nobody seems willing to admit that it's easy to screw up and hard to do right. This book is going to show you how customer conversations go wrong and how you can do better. |
| data science side hustle: Data Science from Scratch Joel Grus, 2015-04-14 Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases |
| data science side hustle: Data Mining and Predictive Analytics Daniel T. Larose, 2015-02-19 Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives. |
| data science side hustle: Machine Learning Peter Flach, 2012-09-20 Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook. |
| data science side hustle: The Psychology of Selling Brian Tracy, 2006-06-20 Double and triple your sales--in any market. The purpose of this book is to give you a series of ideas, methods, strategies, and techniques that you can use immediately to make more sales, faster and easier than ever before. It's a promise of prosperity that sales guru Brian Tracy has seen fulfilled again and again. More sales people have become millionaires as a result of listening to and applying his ideas than from any other sales training process ever developed. |
| data science side hustle: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| data science side hustle: Artificial Intelligence and the Future of Defense Stephan De Spiegeleire, Matthijs Maas, Tim Sweijs, 2017-05-17 Artificial intelligence (AI) is on everybody’s minds these days. Most of the world’s leading companies are making massive investments in it. Governments are scrambling to catch up. Every single one of us who uses Google Search or any of the new digital assistants on our smartphones has witnessed first-hand how quickly these developments now go. Many analysts foresee truly disruptive changes in education, employment, health, knowledge generation, mobility, etc. But what will AI mean for defense and security? In a new study HCSS offers a unique perspective on this question. Most studies to date quickly jump from AI to autonomous (mostly weapon) systems. They anticipate future armed forces that mostly resemble today’s armed forces, engaging in fairly similar types of activities with a still primarily industrial-kinetic capability bundle that would increasingly be AI-augmented. The authors of this study argue that AI may have a far more transformational impact on defense and security whereby new incarnations of ‘armed force’ start doing different things in novel ways. The report sketches a much broader option space within which defense and security organizations (DSOs) may wish to invest in successive generations of AI technologies. It suggests that some of the most promising investment opportunities to start generating the sustainable security effects that our polities, societies and economies expect may lie in in the realms of prevention and resilience. Also in those areas any large-scale application of AI will have to result from a preliminary open-minded (on all sides) public debate on its legal, ethical and privacy implications. The authors submit, however, that such a debate would be more fruitful than the current heated discussions about ‘killer drones’ or robots. Finally, the study suggests that the advent of artificial super-intelligence (i.e. AI that is superior across the board to human intelligence), which many experts now put firmly within the longer-term planning horizons of our DSOs, presents us with unprecedented risks but also opportunities that we have to start to explore. The report contains an overview of the role that ‘intelligence’ - the computational part of the ability to achieve goals in the world - has played in defense and security throughout human history; a primer on AI (what it is, where it comes from and where it stands today - in both civilian and military contexts); a discussion of the broad option space for DSOs it opens up; 12 illustrative use cases across that option space; and a set of recommendations for - especially - small- and medium sized defense and security organizations. |
| data science side hustle: Head First Statistics Dawn Griffiths, 2008-08-26 A comprehensive introduction to statistics that teaches the fundamentals with real-life scenarios, and covers histograms, quartiles, probability, Bayes' theorem, predictions, approximations, random samples, and related topics. |
| data science side hustle: How to Become a Data Analyst Annie Nelson, 2023-11-23 Start a brand-new career in data analytics with no-nonsense advice from a self-taught data analytics consultant In How to Become a Data Analyst: My Low-Cost, No Code Roadmap for Breaking into Tech, data analyst and analytics consultant Annie Nelson walks you through how she took the reins and made a dramatic career change to unlock new levels of career fulfilment and enjoyment. In the book, she talks about the adaptability, curiosity, and persistence you’ll need to break free from the 9-5 grind and how data analytics—with its wide variety of skills, roles, and options—is the perfect field for people looking to refresh their careers. Annie offers practical and approachable data portfolio-building advice to help you create one that’s manageable for an entry-level professional but will still catch the eye of employers and clients. You’ll also find: Deep dives into the learning journey required to step into a data analytics role Ways to avoid getting lost in the maze of online courses and certifications you can find online—while still obtaining the skills you need to be competitive Explorations of the highs and lows of Annie’s career-change journey and job search—including what was hard, what was easy, what worked well, and what didn’t Strategies for using ChatGPT to help you in your job search A must-read roadmap to a brand-new and exciting career in data analytics, How to Become a Data Analyst is the hands-on tutorial that shows you exactly how to succeed. |
| data science side hustle: Creating Business Agility Rodney Heisterberg, Alakh Verma, 2014-08-27 Creating Business Agility: How Convergence of Cloud, Social, Mobile, Video, and Big Data Enables Competitive Advantage provides a game plan for integrating technology to build a smarter, more customer-centric business. Using a series of case studies as examples throughout, the book describes the agility that comes from collaborative commerce, and provides key decision makers the implementation roadmap they need to build a successful business ecosystem. The focus is on Business Agility Readiness in terms of the five major changes affecting the information technology landscape, and how data-driven delivery platforms and decision-making processes are being reinvented using digital relationships with a social business model as the consumer world of technology drives innovation and collaboration. Cloud computing, social media, next-gen mobility, streaming video, and big data with predictive analytics are major forces now for a competitive advantage, and Creating Business Agility provides leaders with a roadmap for readiness. Business leaders tasked with innovation and strategy will find that Creating Business Agility provides important insight from an informed perspective. |
| data science side hustle: Side Hustle Eleanor Hawking, 2024-10-25 'Side Hustle' presents a systematic blueprint for building additional income streams while maintaining full-time employment, addressing a critical shift in modern economic reality where 44% of Americans now pursue multiple income sources. The book breaks down the journey of side business development into three strategic phases: identifying promising opportunities, implementing low-risk business strategies, and scaling successful ventures, all while emphasizing the importance of methodical planning over spontaneous action. Through a unique combination of behavioral economics, digital marketing principles, and organizational psychology, the book offers readers practical, data-driven approaches rather than mere motivational content. It presents clear frameworks for evaluating potential ventures, including market analysis tools and risk assessment methods, while providing specific guidance on time management and resource optimization. The content is particularly valuable for employed professionals seeking financial diversification, offering real-world case studies and documented experiences from successful side business operators. The book progresses logically from foundational concepts to advanced scaling strategies, maintaining a tutorial-style format that makes complex business concepts accessible to readers without formal business education. What sets this work apart is its focus on sustainable, part-time entrepreneurship, complete with actionable worksheets, decision-making frameworks, and digital resources for immediate implementation. Rather than promoting an all-or-nothing approach to entrepreneurship, it demonstrates how readers can systematically build additional income streams while maintaining their financial stability. |
| data science side hustle: The Ultimate Side Hustle Book Elana Varon, 2018-12-04 Get your side hustle on with this handy guide that gives you hundreds of ideas on how to make extra cash—and have fun doing it! Do you work a regular job, but still find yourself wishing you had a little extra money? Or maybe you just want some extra fulfillment after hours that you just aren’t finding in your 9-5. A second job—also known as a side hustle—might be the answer! Learn how to take advantage of the gig economy and turn your time, space, skills, or stuff into extra cash. The Ultimate Side Hustle Book presents up-to-the minute research on 450 fun, resourceful, and often rewarding side hustle jobs, including detailed information on the skills you need and experience required for each, how easy it is to find work, and of course, pay rates—all in an easy-to-read and fun-to-use format. In addition to helpful facts and figures, you’ll find real-life anecdotes and tips from successful side hustlers sprinkled throughout. From dog walking and tutoring to vehicle advertising and refereeing recreational sports leagues, you’re sure to find that perfect side hustle that fits you and your lifestyle. |
| data science side hustle: The Data Science Handbook Field Cady, 2017-02-28 A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon. |
Freelance, side hustles, and gigs: Many more Americans have …
Our latest AOS survey data provide an 1 W e defined an independent worker as any respondent who answered “yes” to either of the following questions: “Is your current job as a contract, freelance, …
Insight Report Data Science in the New Economy - World …
Jul 1, 2019 · his new source of value in the global economy. This Report focuses on data science, among the most competitive skills of the Fourth Industrial Revolution, in collaboration with …
Cleaning Out the Basement: Designing & Developing a …
Developing a Database to Support an Online Side Hustle Case ... science. Multiple assignment options are provided allowing instructors to select an assignment based upon course material …
RISE AND GRIND - The Autonomy Institute
work on platforms as a ‘side hustle’ and only one of a range of revenue streams. Interview data revealed that workers’ experience of their work on digital platforms was mediated by their …
The Balancing Act of Modern Work:
Our Research On Side-hustles Tippie College of Business Series of studies examining: •Empowerment •Status Differences •Diversification of Work •Freedom and Autonomy …
Data Science Side Hustle - archive.ncarb.org
By accessing Data Science Side Hustle versions, you eliminate the need to spend money on physical copies. This not only saves you money but also reduces the environmental impact associated …
THE SIDE HUSTLE SHOW
In this episode, you’ll learn how, as entrepreneurs, marketers, and side hustlers, we can tap into that ancient “buy button” to be more persuasive. How to more clearly explain the value proposition, …
THE CASE OF THE COLORFUL LEADERSHIP TEAM
new skills in acquisition, global marketing, data science, and logistics. The team would also have to lead a deeply skeptical, science based organization into a future with much higher expectations.
THE ULTIMATE LIST OF 101 SIDE HUSTLES - Hairs Out of Place
The fact that you’ve downloaded this list means you’re ready to get serious about finding a side hustle! We’re both HUGE fans of having an extra side hustle or two (or three!) and think it’s …
Background of the Special Issue: Gig economy side hustling
side-hustles is detrimental to side-hustlers’ performance in full-time work; and Sessions, Nahrgang, Vaulont, et al. (2021) examined how a sense of empowerment through side hustling experience …
CERTIFICATE PROGRAMME IN DATA SCIENCE & MACHINE …
Become industry-ready with an in-depth understanding of in-demand data science and machine learning tools and techniques with Python. WHO IS THIS PROGRAMME FOR? The programme's …
Gig Economy - IJFMR
The concept of the gig economy was initially perceived as a side hustle. However, it has quickly become a trillion-dollar industry that has millions of participants.
Data Science from Scratch: The #1 Data Science Guide for …
This book will help you: Know more about the fundamental principles of data science and what you need to become a skilled data scientist. Have an elementary grasp of data science concepts and …
FROM SIDE HUSTLE TO SUCCESS: ACCOUNTING TIPS …
side hustles to successful careers by exploring budgeting, expense tracking, tax compliance, and the adoption of digital financial tools. A qualitative approach was used, with in-depth...
The Human Side of Big Data - NTNU
Abstract—It is widely recognized by public and private organizations, that the biggest challenge faced in light of the data revolution is finding people with the required set of skills to transform …
A GENERATIONAL OPPORTUNITY FOR BRANDS Gen Z's …
in freelance, independent, or side-hustle work. But increasingly, the gig economy is being driven by young people's growing desire to take control over their work-life balance. They don’t trust the …
Side Hustle From Idea To Income In 27 Days
Within the pages of "Side Hustle From Idea To Income In 27 Days," an enthralling opus penned by a highly acclaimed wordsmith, readers attempt an immersive expedition to unravel the intricate …
BEST PRACTICES: Practice and Mentorship
Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us. When published by the government, they are called official statistics. They are …
A Hands-On Introduction to Data Science - Cambridge …
Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both …
Introduction to Data Science - Guide to Intelligent Data Science
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
Freelance, side hustles, and gigs: Many more Americans have …
Our latest AOS survey data provide an 1 W e defined an independent worker as any respondent who answered “yes” to either of the following questions: “Is your current job as a contract, …
Insight Report Data Science in the New Economy - World …
Jul 1, 2019 · his new source of value in the global economy. This Report focuses on data science, among the most competitive skills of the Fourth Industrial Revolution, in collaboration with …
Cleaning Out the Basement: Designing & Developing a …
Developing a Database to Support an Online Side Hustle Case ... science. Multiple assignment options are provided allowing instructors to select an assignment based upon course material …
RISE AND GRIND - The Autonomy Institute
work on platforms as a ‘side hustle’ and only one of a range of revenue streams. Interview data revealed that workers’ experience of their work on digital platforms was mediated by their …
The Balancing Act of Modern Work:
Our Research On Side-hustles Tippie College of Business Series of studies examining: •Empowerment •Status Differences •Diversification of Work •Freedom and Autonomy …
Data Science Side Hustle - archive.ncarb.org
By accessing Data Science Side Hustle versions, you eliminate the need to spend money on physical copies. This not only saves you money but also reduces the environmental impact …
THE SIDE HUSTLE SHOW
In this episode, you’ll learn how, as entrepreneurs, marketers, and side hustlers, we can tap into that ancient “buy button” to be more persuasive. How to more clearly explain the value …
THE CASE OF THE COLORFUL LEADERSHIP TEAM
new skills in acquisition, global marketing, data science, and logistics. The team would also have to lead a deeply skeptical, science based organization into a future with much higher …
THE ULTIMATE LIST OF 101 SIDE HUSTLES - Hairs Out of Place
The fact that you’ve downloaded this list means you’re ready to get serious about finding a side hustle! We’re both HUGE fans of having an extra side hustle or two (or three!) and think it’s …
Background of the Special Issue: Gig economy side hustling
side-hustles is detrimental to side-hustlers’ performance in full-time work; and Sessions, Nahrgang, Vaulont, et al. (2021) examined how a sense of empowerment through side hustling …
CERTIFICATE PROGRAMME IN DATA SCIENCE & MACHINE …
Become industry-ready with an in-depth understanding of in-demand data science and machine learning tools and techniques with Python. WHO IS THIS PROGRAMME FOR? The …
Gig Economy - IJFMR
The concept of the gig economy was initially perceived as a side hustle. However, it has quickly become a trillion-dollar industry that has millions of participants.
Data Science from Scratch: The #1 Data Science Guide for …
This book will help you: Know more about the fundamental principles of data science and what you need to become a skilled data scientist. Have an elementary grasp of data science …
FROM SIDE HUSTLE TO SUCCESS: ACCOUNTING TIPS EVERY …
side hustles to successful careers by exploring budgeting, expense tracking, tax compliance, and the adoption of digital financial tools. A qualitative approach was used, with in-depth...
The Human Side of Big Data - NTNU
Abstract—It is widely recognized by public and private organizations, that the biggest challenge faced in light of the data revolution is finding people with the required set of skills to transform …
A GENERATIONAL OPPORTUNITY FOR BRANDS Gen Z's …
in freelance, independent, or side-hustle work. But increasingly, the gig economy is being driven by young people's growing desire to take control over their work-life balance. They don’t trust …
Side Hustle From Idea To Income In 27 Days
Within the pages of "Side Hustle From Idea To Income In 27 Days," an enthralling opus penned by a highly acclaimed wordsmith, readers attempt an immersive expedition to unravel the …
BEST PRACTICES: Practice and Mentorship
Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us. When published by the government, they are called official statistics. …
A Hands-On Introduction to Data Science - Cambridge …
Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both …
Introduction to Data Science - Guide to Intelligent Data …
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
