| data science freelance hourly rate: Designing User Interfaces With a Data Science Approach Banubakode, Abhijit Narayanrao, Bhutkar, Ganesh Dattatray, Kurniawan, Yohannes, Gosavi, Chhaya Santosh, 2022-03-18 Data science has been playing a vital role in almost all major fields. Many researchers are interested in the development of IT applications, which are user-driven with a focus on issues. This can be addressed using data science. User-driven research and data science have gained much attention from many private, public, and government organizations and research institutions. Designing User Interfaces With a Data Science Approach promotes the inclusion of more diversified users for user-centered designs of applications across domains and analyzes user data with a data science approach for effective and user-friendly user interface designs. It introduces the foundations of advanced topics of human-computer interaction, particularly with user-centered designs and techniques. Covering topics such as artificial neural networks, natural dialog systems, and machine learning, this book is an essential resource for faculty, research scholars, industry professionals, students of higher education, mathematicians, data scientists, interaction designers, visual designers, software engineers, user experience researchers, accessibility engineers, cognitive system engineers, academicians, and libraries. |
| data science freelance hourly rate: The Craft of Science Writing Siri Carpenter, 2024-11-05 A deeply sourced, inclusive guide to all aspects of science writing with contributions from some of the most skilled and award-winning authors working today. Science writing has never been so critical to our world, and the demands on writers have never been greater. On any given day, a writer might need to explain the details of AI, analyze developments in climate change research, or serve as a watchdog helping to ensure the integrity of the scientific enterprise. At the same time, writers must spin tales that hook and keep readers, despite the endless other demands on their attention. How does one do it? The Craft of Science Writing is the authoritative guide. With pieces curated from the archives of science writers’ go-to online resource, The Open Notebook, this book explores strategies for finding and shaping story ideas, pitching editors, and building a specialty in science writing. It delves into fundamental skills that every science writer must learn, including planning their reporting; identifying, interviewing, and quoting sources; organizing interview notes; and crafting stories that engage and inform audiences. This expanded edition includes new introductory material and nine new essays focusing on such topics as how to establish a science beat, how to find and use quotes, how to critically evaluate scientific claims, how to use social media for reporting, and how to do data-driven reporting. In addition, there are essays on inclusivity in science writing, offering strategies for eradicating ableist language from stories, working with sensitivity readers, and breaking into English-language media for speakers of other languages. Through interviews with leading journalists offering behind-the-scenes inspiration as well as in-depth essays on the craft offering practical advice, readers will learn how the best science stories get made, from conception to completion. Contributors: Humberto Basilio, Siri Carpenter, Jeanne Erdmann, Dan Ferber, Tina Casagrand Foss, Geoffrey Giller, Laura Helmuth, Jane C. Hu, Alla Katsnelson, Roxanne Khamsi, Betsy Ladyzhets, Jyoti Madhusoodanan, Amanda Mascarelli, Robin Meadows, Kate Morgan, Tiên Nguyễn, Michelle Nijhuis, Aneri Pattani, Rodrigo Pérez Ortega, Mallory Pickett, Kendall Powell, Tasneem Raja, Sandeep Ravindran, Marion Renault, Julia Rosen, Megha Satyanarayana, Christina Selby, Knvul Sheikh, Abdullahi Tsanni, Alexandra Witze, Katherine J. Wu, Wudan Yan, Ed Yong, Rachel Zamzow, Sarah Zhang, and Carl Zimmer |
| data science freelance hourly rate: The Data Science Design Manual Steven S. Skiena, 2017-07-01 This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) |
| data science freelance hourly rate: The Money Book for Freelancers, Part-Timers, and the Self-Employed Joseph D'Agnese, Denise Kiernan, 2010-03-02 This is a book for people like us, and we all know who we are. We make our own hours, keep our own profits, chart our own way. We have things like gigs, contracts, clients, and assignments. All of us are working toward our dreams: doing our own work, on our own time, on our own terms. We have no real boss, no corporate nameplate, no cubicle of our very own. Unfortunately, we also have no 401(k)s and no one matching them, no benefits package, and no one collecting our taxes until April 15th. It’s time to take stock of where you are and where you want to be. Ask yourself: Who is planning for your retirement? Who covers your expenses when clients flake out and checks are late? Who is setting money aside for your taxes? Who is responsible for your health insurance? Take a good look in the mirror: You are. The Money Book for Freelancers, Part-Timers, and the Self-Employed describes a completely new, comprehensive system for earning, spending, saving, and surviving as an independent worker. From interviews with financial experts to anecdotes from real-life freelancers, plus handy charts and graphs to help you visualize key concepts, you’ll learn about topics including: • Managing Cash Flow When the Cash Isn’t Flowing Your Way • Getting Real About What You’re Really Earning • Tools for Getting Out of Debt and Into Financial Security • Saving Consistently When You Earn Irregularly • What To Do When a Client’s Check Doesn’t Come In • Health Savings Accounts and How To Use Them • Planning for Retirement, Taxes and Dreams—All On Your Own |
| data science freelance hourly rate: Data Feminism Catherine D'Ignazio, Lauren F. Klein, 2020-03-31 A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed. |
| data science freelance hourly rate: The Software Engineer's Guide to Freelance Consulting Jay El-Kaake, Zack Burt, Richard Burt, 2016-12-18 The Software Engineer's Guide to Freelance Consulting will help teach you to be an effective freelance software consultant, which will enable you make more money, dedicate more time to hobbies, spend more time with your loved-ones and even discover new businesses. Table of Contents: Chapter 1: Finding Clients We will literally map out the client acquisition skills that are paramount for you to develop and thrive in the business of software consulting. We will give you the step-by-step concrete TODOs to achieve competence and we explain some of the abstract theory. Chapter 2: Choosing a Rate How do some people charge $2/hr and others $500/hr? Where do you fit in? In this chapter we help you choose, justify and even increase your existing rate. Chapter 3: Keeping Yourself Educated How do you keep yourself from becoming outdated? How do you keep your skills in demand and the projects coming over time? We'll discuss that in this chapter. Chapter 4: Closing Deals You've got the interest but now how do you get the client to start working with you? We'll talk about closing sales as an engineer in this chapter. Chapter 5: Being Productive Productivity is a critical part of freelancing. Since most freelancers bill hourly it can make the difference between making $100,000/year and $300,000/year. This chapter contains tips to maximize your productivity as a freelancer. Chapter 6: Building & Maintaining Relationships Freelance consulting is a relationship-driven business. As engineers however, we tend to shy away from this. In this chapter we will talk about how you can build strong relationships and reduce the amount of time you need to spend selling yourself to new clients. Chapter 7: Legal Ideas Being a consultant comes with legal implications that can save your butt when things go wrong. In this chapter our very own Silicon Valley Lawyer Richard Burt will give you some tips of the trade. Chapter 8: Making Great First Impressions First impressions are a primer for excellent long-term relationships that will yield great value to you. This chapter will talk about first impressions as a freelance tech person. Chapter 9: Getting Paid Okay, so you've completed some contracts and now you're waiting to get paid. How do you get paid faster? Can you reduce your risk? We'll discuss these things in this chapter and even talk about how to deal with clients who don't pay. Chapter 10: Must-know Tax Tips As a freelance consultant, managing your tax effectively will save you a TON of money at the end of the year. In this chapter we'll run through some basic tips that will help you minimize your tax liability so you can keep more hard-earned money in your pocket. Chapter 11: Communicating Effectively Say the wrong things and you can find yourself staying up late at night on the weekend. Say the right things and you could find yourself making more money and spending more time with your family and friends. In this chapter we'll help you say less of the wrong things and more of the right things. Chapter 12: Freelancing Part-time What if you don't want to leave your current full-time job? What if you're in school full-time, or taking care of children? This chapter will help part-time freelancers. Chapter 13: Going Back to a Regular Coding Job In case you later decide freelancing is not for you, this chapter will help you ease back into a regular job without ruffling too many feathers. Chapter 14: Additional Resources Everyone who purchases the book receives an invitation to our Slack community. You'll even get a direct line to experienced freelancers (including the authors) that can help answer questions any day of the week. |
| data science freelance hourly rate: Intelligent Human Centered Computing Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Debashis De, Mufti Mahmud, 2023-06-14 This book features high-quality research papers presented at the First Doctoral Symposium on Human Centered Computing (HUMAN 2023), jointly organized by Computer Society of India, Kolkata Chapter and Techno India University, West Bengal, on February 25, 2023. This book discusses the topics of modern human centered computing and its applications. The book showcases the fusion of human sciences (social and cognitive) with computer science (human–computer interaction, signal processing, machine learning, and ubiquitous computing). |
| data science freelance hourly rate: The Science Writers' Handbook Writers of SciLance, 2013-04-30 Popular science writing has exploded in the past decade, both in print and online. Who better to guide writers striving to succeed in the profession than a group of award-winning independent journalists with a combined total of 225 years of experience? From Thomas Hayden's chapter on the perfect pitch to Emma Maris's advice on book proposals to Mark Schrope's essential information on contracts, the members of SciLance give writers of all experience levels the practical information they need to succeed, as either a staffer or a freelancer. Going beyond craft, The Science Writer's Handbook also tackles issues such as creating productive office space, balancing work and family, and finding lasting career satisfaction. It is the ultimate guide for anyone looking to prosper as a science writer in the new era of publishing. |
| data science freelance hourly rate: Career Opportunities in Writing T. Allan Taylor, James Robert Parish, 2009 Provides information on salaries, skill requirements, and employment opportunities for ninety writing and writing-related professions. |
| data science freelance hourly rate: Machine Learning Bookcamp Alexey Grigorev, 2021-11-23 The only way to learn is to practice! In Machine Learning Bookcamp, you''ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning. |
| data science freelance hourly rate: People Skills for Analytical Thinkers Gilbert Eijkelenboom, 2020-09-29 Your analytical skills are incredibly valuable. However, rational thinking alone isn't enough. Have you ever: Presented an idea, but then no one seemed to care? Explained your analysis, only to leave your colleague confused? Struggled to work with people who are less analytical and more emotional? In such situations, people skills make the difference. And that's what this book focuses on: boosting your communication skills as an analytical thinker. Research shows people skills are becoming increasingly important in the workplace, so start learning today. Filled with academic insights, exercises, and stories, this book will change your career. What you will learn Having fun and productive interactions, even with people who don't have an analytical personality Boost your confidence and increase your empathy Learn how to deal with small-talk you don't enjoy Advance your communication skills and build relationships (th)at work Become incredibly persuasive by avoiding the single mistake that almost everyone makes |
| data science freelance hourly rate: The Digital Transformation of Labor Anthony Larsson, Robin Teigland, 2019-11-11 Through a series of studies, the overarching aim of this book is to investigate if and how the digitalization/digital transformation process causes (or may cause) the autonomy of various labor functions, and its impact in creating (or stymieing) various job opportunities on the labor market. This book also seeks to illuminate what actors/groups are mostly benefited by the digitalization/digital transformation and which actors/groups that are put at risk by it. This book takes its point of departure from a 2016 OECD report that contends that the impact digitalization has on the future of labor is ambiguous, as on the one hand it is suggested that technological change is labor-saving, but on the other hand, it is suggested that digital technologies have not created new jobs on a scale that it replaces old jobs. Another 2018 OECD report indicated that digitalization and automation as such does not pose a real risk of destroying any significant number of jobs for the foreseeable future, although tasks would by and large change significantly. This would affects welfare, as most of its revenue stems from taxation, and particularly so from the taxation on labor (directly or indirectly). For this reason, this book will set out to explore how the future technological and societal advancements impact labor conditions. The book seeks to provide an innovative, enriching and controversial take on how various aspects of the labor market can be (and are) affected the ongoing digitalization trend in a way that is not covered by extant literature. As such, this book intends to cater to a wider readership, from a general audience and students, to specialized professionals and academics wanting to gain a deeper understanding of the possible future developments of the labor market in light of an accelerating digitalization/digital transformation of society at large. |
| data science freelance hourly rate: 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 freelance hourly rate: Free Agent Katy Tynan, 2017-07-27 There is a seismic shift underway in the employer/employee relationship that is redefining the nature of jobs and careers. Sole proprietors and independent contractors now represent more than 20 percent of the workforce, and that number is expected to reach nearly 50 percent within the next 10 years.Despite the proliferation of people engaging in f |
| data science freelance hourly rate: How to Read Numbers Tom Chivers, David Chivers, 2022-03-31 |
| data science freelance hourly rate: Analyzing the Analyzers Harlan Harris, Sean Murphy, Marck Vaisman, 2013-06-10 Despite the excitement around data science, big data, and analytics, the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking. Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths. This report describes: Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers Cases in miscommunication between data scientists and organizations looking to hire Why T-shaped data scientists have an advantage in breadth and depth of skills How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists |
| data science freelance hourly rate: Leaving the Rat Race with Python Christian Mayer (Computer Scientist), Lukas Rieger, 2020 |
| data science freelance hourly rate: Consulting Fees Andréa Coutu, 2013-10-09 Thinking of consulting? Want to earn more from your clients? Discover how to set your consulting fees and get more money from every contract. Influence the way existing and potential clients view you and your consulting business by analyzing your market and using your fees as a marketing tool. Calculate your rate using consulting fee models. Navigate sticky situations - like requests to cut your fees, negotiate your quotes or work for free. Andrea Coutu's Consulting Fees helps consultants calculate consulting fees that they can ask for with confidence. |
| data science freelance hourly rate: The Construction Chart Book CPWR--The Center for Construction Research and Training, 2008 The Construction Chart Book presents the most complete data available on all facets of the U.S. construction industry: economic, demographic, employment/income, education/training, and safety and health issues. The book presents this information in a series of 50 topics, each with a description of the subject matter and corresponding charts and graphs. The contents of The Construction Chart Book are relevant to owners, contractors, unions, workers, and other organizations affiliated with the construction industry, such as health providers and workers compensation insurance companies, as well as researchers, economists, trainers, safety and health professionals, and industry observers. |
| data science freelance hourly rate: Virtual Machines James Edward Smith, Ravi Nair, 2005-06-03 In this text, Smith and Nair take a new approach by examining virtual machines as a unified discipline and pulling together cross-cutting technologies. Topics include instruction set emulation, dynamic program translation and optimization, high level virtual machines (including Java and CLI), and system virtual machines for both single-user systems and servers. |
| data science freelance hourly rate: Crowdsourced Data Management Adam Marcus, Aditya Parameswaran, 2015-11-18 Crowdsourced Data Management: Industry and Academic Perspectives aims to narrow the gap between academics and practitioners in this burgeoning field. It simultaneously introduces academics to real problems that practitioners encounter every day, and provides a survey of the state of the art for practitioners to incorporate into their designs. |
| data science freelance hourly rate: The Working Press of the Nation , 1994 |
| data science freelance hourly rate: 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 freelance hourly rate: Consulting Success Michael Zipursky, 2018-10-16 How can you take your skills and expertise and package and present it to become a successful consultant? There are proven time-tested principles, strategies, tactics and best-practices the most successful consultants use to start, run and grow their consulting business. Consulting Success teaches you what they are. In this book you'll learn: - How to position yourself as a leading expert and authority in your marketplace - Effective marketing and branding materials that get the attention of your ideal clients - Strategies to increase your fees and earn more with every project - The proposal template that has generated millions of dollars in consulting engagements - How to develop a pipeline of business and attract ideal clients - Productivity secrets for consultants including how to get more done in one week than most people do in a month - And much, much more |
| data science freelance hourly rate: The Wealthy Freelancer Pete Savage, Steve Slaunwhite, 2010-03-02 Being your own boss can lead to incredible profts - here's how... Whether you call yourself a freelancer, consultant, independent contractor or solo professional of any kind, 'The Wealthy Freelancer: 12 Secrets to a Great Income and an Enviable Lifestyle', shows you how to get the clients, income, and lifestyle you deserve. So you can put more money in the bank, enjoy more time with your family and make a great living doing what you truly love to do, free from the burden of employment... Filled with proven ideas and real-world examples from dozens of successful freelancers, 'The Wealthy Freelancer' is essential reading for any solo professional who wants to enjoy a lifestyle that's 'wealthy' in every sense of the word. Here's a glimpse of what's waiting for you inside this book: * Why the typical one-size-fits-all marketing advice rarely works, and a fool-proof system for determining the optimal mix of marketing activities for your specific circumstances and goals. * How to get more prospects to say Yes! to the fees that you propose. * Why striving to be the best in your field almost never works, and what to do instead. * How to charge more - and earn more - by creating new income streams closely related to your core business. *How to have more time for the life you want and still have a great income. *How to test the waters and land freelance work now, even if you're already employed. * Why freelancing has moved beyond creative fields and into mainstream careers such as Engineering, Software Development, Bookkeeping, and more than 160 other professions. * Stories of real-life freelancers who destroy the myth that freelancers barely scrape by. * Dozens more proven tips and strategies to build a more profitable and fulfilling solo business. |
| data science freelance hourly rate: The Science, Art and Voodoo of Freelance Pricing and Getting Paid Jake Poinier, 2013-09-09 Are you struggling to price your freelance services profitably? Do you feel as if prospective clients have the upper hand during sales and negotiations? Or are you busier than ever but not making as much money as you believe your skills and experience warrant? Put the Science, Art and Voodoo of Freelance Pricing and Getting Paid to work for you. |
| data science freelance hourly rate: Writing Without Bullshit Josh Bernoff, 2016-09-13 Joining the ranks of classics like The Elements of Style and On Writing Well, Writing Without Bullshit helps professionals get to the point to get ahead. It’s time for Writing Without Bullshit. Writing Without Bullshit is the first comprehensive guide to writing for today’s world: a noisy environment where everyone reads what you write on a screen. The average news story now gets only 36 seconds of attention. Unless you change how you write, your emails, reports, and Web copy don’t stand a chance. In this practical and witty book, you’ll learn to front-load your writing with pithy titles, subject lines, and opening sentences. You’ll acquire the courage and skill to purge weak and meaningless jargon, wimpy passive voice, and cowardly weasel words. And you’ll get used to writing directly to the reader to make every word count. At the center of it all is the Iron Imperative: treat the reader’s time as more valuable than your own. Embrace that, and your customers, your boss, and your colleagues will recognize the power and boldness of your thinking. Transcend the fear that makes your writing weak. Plan and execute writing projects with confidence. Manage edits and reviews flawlessly. And master every modern format from emails and social media to reports and press releases. Stop writing to fit in. Start writing to stand out. Boost your career by writing without bullshit. |
| data science freelance hourly rate: Data Smart John W. Foreman, 2013-10-31 Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the data scientist, toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know. |
| data science freelance hourly rate: A Collection of Data Science Interview Questions Solved in Python and Spark Antonio Gulli, 2015-09-22 BigData and Machine Learning in Python and Spark |
| data science freelance hourly rate: What to Charge Laurie Lewis, 2011-02 What to Charge takes freelancers through the processes of setting rates, assessing fees dictated by clients, and evaluating pricing experiences. With self-employment being the hottest job trend, the guide is essential reading and a must-have reference for all entrepreneurs. |
| data science freelance hourly rate: The Well-Fed Writer (Third Edition) Peter Bowerman, 2021-04 Third edition of a detailed how-to guide to starting and growing your own lucrative commercial writing practice-writing for corporations and creative agencies, and for hourly rates of $50-125+. |
| data science freelance hourly rate: Self-employment Tax , 1988 |
| data science freelance hourly rate: Industry 4.0, AI, and Data Science Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, Sunil Kumar Chawla, 2021-07-20 The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide. |
| data science freelance hourly rate: What Editors Do Peter Ginna, 2017-10-06 Essays from twenty-seven leading book editors: “Honest and unflinching accounts from publishing insiders . . . a valuable primer on the field.” —Publishers Weekly Editing is an invisible art in which the very best work goes undetected. Editors strive to create books that are enlightening, seamless, and pleasurable to read, all while giving credit to the author. This makes it all the more difficult to truly understand the range of roles they inhabit while shepherding a project from concept to publication. What Editors Do gathers essays from twenty-seven leading figures in book publishing about their work. Representing both large houses and small, and encompassing trade, textbook, academic, and children’s publishing, the contributors make the case for why editing remains a vital function to writers—and readers—everywhere. Ironically for an industry built on words, there has been a scarcity of written guidance on how to approach the work of editing. Serving as a compendium of professional advice and a portrait of what goes on behind the scenes, this book sheds light on how editors acquire books, what constitutes a strong author-editor relationship, and the editor’s vital role at each stage of the publishing process—a role that extends far beyond marking up the author’s text. This collection treats editing as both art and craft, and also as a career. It explores how editors balance passion against the economic realities of publishing—and shows why, in the face of a rapidly changing publishing landscape, editors are more important than ever. “Authoritative, entertaining, and informative.” —Copyediting |
| data science freelance hourly rate: Data Science Jobs Ann Rajaram, 2019-05-20 Land a high-paying $$$ DataScience job in 90 days or less! This book is the perfect guide for you, if you fall into any of these categories: * Looking to start a career in data science, but unsure where to start. * Tired of applying to dozens of jobs without getting a positive response and/or final job offer .* You recently completed a masters degree or bootcamp and need to quickly find a job. * Are you an experienced tech professional, but looking to pivot into analytics to boost your salary potential. The book will teach you proven successful strategies on: * Winning Profiles Turbocharge your resume and LinkedIn profile and start receiving interview calls from hiring managers. Let JOBS CHASE YOU, instead of the other way around! * LinkedIn - A dedicated chapter on LinkedIn that teaches you some creative (and SECRET) ways to leverage the site and identify high-paying jobs with low competition. * Niche sites - A full list of niche job boards that other candidates have overlooked. These sites have high-$ jobs but lesser competition than the popular job search sites. Upwork - Contrary to popular opinion, Upwork can help you make $$$ in data science jobs. Learn proven techniques to help you bag contracts and start earning, as quickly as next week. * 100+ interview questions asked in real-life data scientist interviews. * Other learner resources and much more...Unlike most job search books that are written by recruiters or professors, this book is written by a senior data science professional, who rose quickly from analyst to managerial roles. She has attended interviews of her own, and knows clearly the frustrations (and at times, hopelessness) of the job search process. Author is a seasoned analytics professional who has worked in Top Firms like NASDAQ, BlackRock, etc. The systems in this book have successfully helped dozens of job seekers and will work effectively for you too! Read on to launch your dream career! Note, this book is deliberately kept short and precise, so you can quickly read through and start applying these principles, instead of sifting through 500 pages of fluff. |
| data science freelance hourly rate: Freelance Like a Pro Roshan Perera, 2018-11-29 This book includes everything I've learned in the past 6+ years as a freelancer. All the mistakes I've made and the hacks that helped me to earn up to $5,000 a month working from home as a freelancer. Think of this book as a blueprint for freelancing success. An actionable plan that you can go through step-by-step to get started in freelancing and build a profitable career as well as to find better-paying jobs and land clients effectively. All you have to do is read 1 chapter per day and take necessary action that I advise in each chapter. With this strategy, you can start freelancing even while working at a day job without taking any risks.I've struggled for over 4 years before making a profitable income as a freelancer. That's because I've made a lot of mistakes along the way and I had no one to give me advice. That's why I wrote this book outlining all the mistakes I made and all the strategies that helped me to reach my $5K goal.I hope this book will help newcomers get started in freelancing the right way and make a profitable income to achieve financial freedom. |
| data science freelance hourly rate: Artificial Intelligence and Natural Language Processing Sudhir K. Mishra, 2018-04 Artificial Intelligence and Natural Language Processing is designed for students of computer science and linguistics at graduate and post-graduate levels, who have an interest in Natural Language Processing (NLP). This book balances the theoretical aspects of computer science and linguistics with their applications in NLP, keeping in mind the background of the students from either direction. Theories of linguistics such as phonology, morphology, syntax, semantics and lexicography are covered in the first section of the book. In the second, focus is given to theoretical aspects of computer science including AI, concepts of probability theory and approaches of machine learning. These two parts will provide students with the foundations of the field. The third part discusses the applications/tasks of NLP covering the areas of machine translation (MT) and grammar formalism in an Indian Language scenario, as well as speech processing. |
| data science freelance hourly rate: Graphic Artists Guild Handbook, 16th Edition The Graphic Artists Guild, 2021-05-18 The industry bible for communication design and illustration professionals, with updated information, listings, and pricing guidelines. Graphic Artists Guild Handbook is the industry bible for communication design and illustration professionals. A comprehensive reference guide, the Handbook helps graphic artists navigate the world of pricing, collecting payment, and protecting their creative work, with essential advice for growing a freelance business to create a sustainable and rewarding livelihood. This sixteenth edition provides excellent, up-to-date guidance, incorporating new information, listings, and pricing guidelines. It offers graphic artists practical tips on how to negotiate the best deals, price their services accurately, and create contracts that protect their rights. Sample contracts and other documents are included. For the sixteenth edition, the content has been reorganized, topics have been expanded, and new chapters have been added to create a resource that is more relevant to how graphic artists work today. Features include: More in-depth information for the self-employed on how to price work to make a sustainable living and plan for times of economic uncertainty. A new chapter on using skills and talents to maximize income with multiple revenue streams—workshops, videos, niche markets, passion projects, selling art, and much more. Current U.S. salary information and freelance rates by discipline. Pricing guidelines for buyers and sellers. Up-to-date copyright registration information. Model contracts and forms to adapt to your specific needs. Interviews with eleven self-employed graphic artists who have created successful careers,using many of the practices found in this Handbook. |
| data science freelance hourly rate: International Climate Protection Michael Palocz-Andresen, Dóra Szalay, Andreas Gosztom, László Sípos, Tímea Taligás, 2019 This book explains the current climate protection processes and technologies, and informs the readers of the limiting factors and opportunities for future development. It represents the highest level of knowledge from leading scientists all over the world. Original high quality figures maximize understanding of the text. The book also introduces a new concept (climotographic), which provides a well pronounced solution to climate protection that is easily understandable for all levels of readers. |
| data science freelance hourly rate: Computerworld , 1983-02-28 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
