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| dallas data science bootcamp: A New U Ryan Craig, 2018-09-11 Every year, the cost of a four-year degree goes up, and the value goes down. But for many students, there's a better answer. So many things are getting faster and cheaper. Movies stream into your living room, without ticket or concession-stand costs. The world's libraries are at your fingertips instantly, and for free. So why is a college education the only thing that seems immune to change? Colleges and universities operate much as they did 40 years ago, with one major exception: tuition expenses have risen dramatically. What's more, earning a degree takes longer than ever before, with the average time to graduate now over five years. As a result, graduates often struggle with enormous debt burdens. Even worse, they often find that degrees did not prepare them to obtain and succeed at good jobs in growing sectors of the economy. While many learners today would thrive with an efficient and affordable postsecondary education, the slow and pricey road to a bachelor's degree is starkly the opposite. In A New U: Faster + Cheaper Alternatives to College, Ryan Craig documents the early days of a revolution that will transform—or make obsolete—many colleges and universities. Alternative routes to great first jobs that do not involve a bachelor's degree are sprouting up all over the place. Bootcamps, income-share programs, apprenticeships, and staffing models are attractive alternatives to great jobs in numerous growing sectors of the economy: coding, healthcare, sales, digital marketing, finance and accounting, insurance, and data analytics. A New U is the first roadmap to these groundbreaking programs, which will lead to more student choice, better matches with employers, higher return on investment of cost and time, and stronger economic growth. |
| dallas data science bootcamp: Smarter Data Science Neal Fishman, Cole Stryker, 2020-04-14 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. |
| dallas data science bootcamp: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| dallas data science bootcamp: MySQL Workbench: Data Modeling & Development Michael McLaughlin, 2013-05-06 The only Oracle Press guide to MySQL Workbench explains how to design and model MySQL databases. MySQL Workbench Data Modeling and Development helps developers learn how to effectively use this powerful product for database modeling, reverse engineering, and interaction with the database without writing SQL statements. MySQL Workbench is a graphical user interface that can be used to create and maintain MySQL databases without coding. The book covers the interface and explains how to accomplish each step by illustrating best practices visually. Clear examples, instructions, and explanations reveal, in a single volume, the art of database modeling. This Oracle Press guide shows you how to get the tool to do what you want. Annotated screen shots demonstrate all interactions with the tool, and text explains the how, what, and why of each step. Complete coverage Installation and Configuration; Creating and Managing Connections; Data Modeling Concepts; Creating an ERD; Defining the Physical Schemata; Creating and Managing Tables; Creating and Managing Relationships; Creating and Managing Views; Creating and Managing Routines; Creating and Managing Routine Groups; Creating and Managing User & Groups; Creating and Managing SQL Scripts; Generating SQL Scripts; Forward Engineering a Data Model; Synchronize a Model with a Database; Reverse Engineering a Database; Managing Differences in the Data Catalog; Creating and Managing Model Notes; Editing Table Data; Editing Generated Scripts; Creating New Instances; Managing Import and Export; Managing Security; Managing Server Instances |
| dallas data science bootcamp: Cool Infographics Randy Krum, 2013-10-23 Make information memorable with creative visual design techniques Research shows that visual information is more quickly and easily understood, and much more likely to be remembered. This innovative book presents the design process and the best software tools for creating infographics that communicate. Including a special section on how to construct the increasingly popular infographic resume, the book offers graphic designers, marketers, and business professionals vital information on the most effective ways to present data. Explains why infographics and data visualizations work Shares the tools and techniques for creating great infographics Covers online infographics used for marketing, including social media and search engine optimization (SEO) Shows how to market your skills with a visual, infographic resume Explores the many internal business uses of infographics, including board meeting presentations, annual reports, consumer research statistics, marketing strategies, business plans, and visual explanations of products and services to your customers With Cool Infographics, you'll learn to create infographics to successfully reach your target audience and tell clear stories with your data. |
| dallas data science bootcamp: Engineering Software as a Service Armando Fox, David A. Patterson, 2016 (NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details.(NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details. |
| dallas data science bootcamp: A Common-Sense Guide to Data Structures and Algorithms, Second Edition Jay Wengrow, 2020-08-10 Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable. |
| dallas data science bootcamp: Machine Learning in Action Peter Harrington, 2012-04-03 Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of Contents PART 1 CLASSIFICATION Machine learning basics Classifying with k-Nearest Neighbors Splitting datasets one feature at a time: decision trees Classifying with probability theory: naïve Bayes Logistic regression Support vector machines Improving classification with the AdaBoost meta algorithm PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION Predicting numeric values: regression Tree-based regression PART 3 UNSUPERVISED LEARNING Grouping unlabeled items using k-means clustering Association analysis with the Apriori algorithm Efficiently finding frequent itemsets with FP-growth PART 4 ADDITIONAL TOOLS Using principal component analysis to simplify data Simplifying data with the singular value decomposition Big data and MapReduce |
| dallas data science bootcamp: Data Science for Business Foster Provost, Tom Fawcett, 2013-07-27 Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates |
| dallas data science bootcamp: The Official ACT Prep Guide 2020 - 2021, (Book + 5 Practice Tests + Bonus Online Content) ACT, 2020-04-21 The only guide from the ACT organization, the makers of the exam, with 5 genuine, full-length practice tests in print and online. The Official ACT Prep Guide 2020-2021 is the only guide from the makers of the exam and it includes actual ACT test forms (taken from past ACT exams). It offers 5 actual ACT tests (all with optional writing tests) so you can practice at your own pace. To help you review, this guide provides detailed explanations for every answer and practical tips on how to boost your score on the English, math, reading, science, and optional writing tests. The test creators also created online resources accessible through this book. You can practice online with 5 full length practice tests to mimic the test day experience. These test questions can be organized, filtered, and tracked to test your exam performance. Get ready for test day with this bestselling guide to the ACT. The Official ACT Prep Guide 2020-2021 will help you feel comfortable, confident, and prepared to do your best to ace the ACT! The Official ACT Prep Guide 2020-2021 includes: Information about the September 2020 ACT enhancements Real ACT test forms used in previous years’ exams Five full-length tests available in the book and online, including one NEW full-length test with optional writing test Online practice that mimics the testing experience Customizable questions bank with detailed answer explanations Helpful advice for test day |
| dallas data science bootcamp: 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 |
| dallas data science bootcamp: Data Strategy Bernard Marr, 2017-04-03 BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT). |
| dallas data science bootcamp: Brave, Not Perfect Reshma Saujani, 2019-02-05 INTERNATIONAL BESTSELLER • Inspired by her popular TED Talk, the founder and CEO of Girls Who Code urges women to embrace imperfection and live a bolder, more authentic life. “A timely message for women of all ages: Perfection isn’t just impossible but, worse, insidious.”—Angela Duckworth, bestselling author of Grit Imagine if you lived without the fear of not being good enough. If you didn’t care how your life looked on Instagram. If you could let go of the guilt and stop beating yourself up for making human mistakes. Imagine if, in every decision you faced, you took the bolder path? As women, too many of us feel crushed under the weight of our own expectations. We run ourselves ragged trying to please everyone, pass up opportunities that scare us, and avoid rejection at all costs. There’s a reason we act this way, Saujani says. As girls, we were taught to play it safe. Well-meaning parents and teachers praised us for being quiet and polite, urged us to be careful so we didn’t get hurt, and steered us to activities at which we could shine. As a result, we grew up to be women who are afraid to fail. It’s time to stop letting our fears drown out our dreams and narrow our world, along with our chance at happiness. By choosing bravery over perfection, we can find the power to claim our voice, to leave behind what makes us unhappy, and to go for the things we genuinely, passionately want. Perfection may set us on a path that feels safe, but bravery leads us to the one we’re authentically meant to follow. In Brave, Not Perfect,Saujani shares powerful insights and practices to help us let go of our need for perfection and make bravery a lifelong habit. By being brave, not perfect, we can all become the authors of our best and most joyful life. |
| dallas data science bootcamp: 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. |
| dallas data science bootcamp: Mastering Power Query in Power BI and Excel Reza Rad, Leila Etaati, 2021-08-27 Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in a structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else come from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may already be familiar with other data preparation and transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Power Query exists in many Microsoft tools and services such as Power BI, Excel, Dataflows, Power Automate, Azure Data Factory, etc. Through the years, this engine became more powerful. These days, we can say this is essential learning for anyone who wants to do data analysis with Microsoft technology to learn Power Query and master it. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book series. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book series is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is compiled into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (already available to be purchased separately) Mastering Power Query in Power BI and Excel (This book) Power Query dataflows (will be published later) This book deeps dive into real-world challenges of data transformation. It starts with combining data sources and continues with aggregations and fuzzy operations. The book covers advanced usage of Power Query in scenarios such as error handling and exception reports, custom functions and parameters, advanced analytics, and some helpful table and list functions. The book continues with some performance tuning tips and it also explains the Power Query formula language (M) and the structure of it and how to use it in practical solutions. Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query. |
| dallas data science bootcamp: Statistics, Concepts and Controversies David S. Moore, 2012-11-09 No textbook communicates the basics of statistical analysis to liberal arts students as effectively as the bestselling Statistics: Concepts and Controversies (SCC). And no text makes it easier for these students to understand and talk about statistical claims they encounter in commercials, campaigns, the media, sports, and elsewhere in their lives. The new edition offers SCC’s signature combination of engaging cases, real-life examples and exercises, helpful pedagogy, rich full-color design, and innovative media learning tools, all significantly updated. |
| dallas data science bootcamp: Data-Driven Science and Engineering Steven L. Brunton, J. Nathan Kutz, 2022-05-05 A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®. |
| dallas data science bootcamp: The Design of Everyday Things Don Norman, 2013-11-05 Even the smartest among us can feel inept as we fail to figure out which light switch or oven burner to turn on, or whether to push, pull, or slide a door. The fault, argues this ingenious—even liberating—book, lies not in ourselves, but in product design that ignores the needs of users and the principles of cognitive psychology. The problems range from ambiguous and hidden controls to arbitrary relationships between controls and functions, coupled with a lack of feedback or other assistance and unreasonable demands on memorization. The Design of Everyday Things shows that good, usable design is possible. The rules are simple: make things visible, exploit natural relationships that couple function and control, and make intelligent use of constraints. The goal: guide the user effortlessly to the right action on the right control at the right time. In this entertaining and insightful analysis, cognitive scientist Don Norman hails excellence of design as the most important key to regaining the competitive edge in influencing consumer behavior. Now fully expanded and updated, with a new introduction by the author, The Design of Everyday Things is a powerful primer on how—and why—some products satisfy customers while others only frustrate them. |
| dallas data science bootcamp: Learning to Program Steven Foote, 2014 Learning to Program will help students build a solid foundation in programming that can prepare them to achieve just about any programming goal. Whether they want to become a professional software programmer, learn how to more effectively communicate with programmers, or are just curious about how programming works, this book is a great first step in helping to get there. |
| dallas data science bootcamp: Workparent Daisy Dowling, 2021-05-25 An all-in-one resource for every working mother and father. Sure, there are plenty of parenting books out there. But as working moms and dads, we've never had a trusted, go-to guide all our own—one that coaches us on how to do well at work, be the loving and engaged parents we want to be, and remain true to ourselves in the process. Enter Workparent. Whether you're planning a family, pushing for promotion during your kids' teenage years, or at any phase in between, Workparent provides all the advice and assurance you'll need to combine children and career in your own, authentic way. Whatever your field or family structure, you'll learn how to: Find a childcare arrangement you fully trust Build a strong support team, at home and on the job Advocate for advancement—and flexibility Step up at work while keeping your family healthy and whole Tame guilt, self-doubt, worry, and other difficult emotions Navigate big transitions: the return from leave, a promotion or job change, or the arrival of a second child Manage day-to-day pressures, like scheduling, mealtimes, homework, and more Find—and really use—time off Feel more capable, calm, and in control Written by Daisy Dowling, a top executive coach, talent expert, and working mom, Workparent answers all of your questions and feels like a good talk with your favorite mentor. Finally, the handbook you need to thrive as a working parent. |
| dallas data science bootcamp: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2008 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
| dallas data science bootcamp: FASTer Way to Fat Loss Amanda Tress, 2019-05-20 Are you one of the millions of individuals who have tried every fad diet on the market, and still can't meet your goals? Or maybe you're killing yourself at the gym, spending hours on the treadmill to maintain the perfect number on the scale. Regardless of your failing strategy, you're feeling exhausted, discouraged, and uninspired. Enter The FASTer Way to Fat Loss, a behind-the-scenes look at the lifestyle sweeping the health and wellness industry. Since the creation of the program in 2016, the FASTer Way has helped tens of thousands of men and women lose fat and regain confidence. Through the book, Amanda Tress, author and creator of the FASTer Way to Fat Loss, details the core components of the FASTer Way and dives into the science that backs them up. Please note: Purchasing this book does NOT include participation in the official FASTer Way to Fat Loss program. Program registration must be purchased separately at www.fasterwaytofatloss.com. |
| dallas data science bootcamp: Python Crash Course, 2nd Edition Eric Matthes, 2019-05-03 The best-selling Python book in the world, with over 1 million copies sold! A fast-paced, no-nonsense, updated guide to programming in Python. If you've been thinking about learning how to code or picking up Python, this internationally bestselling guide to the most popular programming language is your quickest, easiest way to get started and go! Even if you have no experience whatsoever, Python Crash Course, 2nd Edition, will have you writing programs, solving problems, building computer games, and creating data visualizations in no time. You’ll begin with basic concepts like variables, lists, classes, and loops—with the help of fun skill-strengthening exercises for every topic—then move on to making interactive programs and best practices for testing your code. Later chapters put your new knowledge into play with three cool projects: a 2D Space Invaders-style arcade game, a set of responsive data visualizations you’ll build with Python's handy libraries (Pygame, Matplotlib, Plotly, Django), and a customized web app you can deploy online. Why wait any longer? Start your engine and code! |
| dallas data science bootcamp: Trumponomics Stephen Moore, Arthur B. Laffer, 2018-10-30 Conservative economists offer a well-informed defense of Trump’s approach to trade, taxes, employment, infrastructure, and other economic policies. Donald Trump promised the American people a transformative change in economic policy after eight years of stagnation under Obama. But he didn’t adopt a conventional left or right economic agenda. His is a new economic populism that combines some conventional Republican ideas—tax cuts, deregulation, more power to the states—with more traditional Democratic issues such as trade protectionism and infrastructure spending. It also mixes in important populist issues such as immigration reform, pressuring the Europeans to pay for more of their own defense, and keeping America first. Coauthors Stephen Moore and Arthur B. Laffer worked as senior economic advisors to Donald Trump in 2016. They traveled with him, frequently met with his political and economic teams, worked on his speeches, and represented him as surrogates. They are currently members of the Trump Advisory Council and still meet with him regularly. In Trumponomics, they offer an insider’s view on how Trump operates in public and behind closed doors, his priorities and passions, and his greatest attributes and liabilities. |
| dallas data science bootcamp: Mastering PostgreSQL 13 Hans-Jürgen Schönig, 2020-11-13 Explore expert techniques such as advanced indexing and high availability to build scalable, reliable, and fault-tolerant database applications using PostgreSQL 13 Key FeaturesMaster advanced PostgreSQL 13 concepts with the help of real-world datasets and examplesLeverage PostgreSQL’s indexing features to fine-tune the performance of your queriesExtend PostgreSQL's functionalities to suit your organization's needs with minimal effortBook Description Thanks to its reliability, robustness, and high performance, PostgreSQL has become one of the most advanced open source databases on the market. This updated fourth edition will help you understand PostgreSQL administration and how to build dynamic database solutions for enterprise apps with the latest release of PostgreSQL, including designing both physical and technical aspects of the system architecture with ease. Starting with an introduction to the new features in PostgreSQL 13, this book will guide you in building efficient and fault-tolerant PostgreSQL apps. You’ll explore advanced PostgreSQL features, such as logical replication, database clusters, performance tuning, advanced indexing, monitoring, and user management, to manage and maintain your database. You’ll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. The book also covers transactions, locking, and indexes, and shows you how to improve performance with query optimization. You’ll also focus on how to manage network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases. By the end of this PostgreSQL book, you’ll be able to get the most out of your database by executing advanced administrative tasks. What you will learnGet well versed with advanced SQL functions in PostgreSQL 13Get to grips with administrative tasks such as log file management and monitoringWork with stored procedures and manage backup and recoveryEmploy replication and failover techniques to reduce data lossPerform database migration from Oracle to PostgreSQL with easeReplicate PostgreSQL database systems to create backups and scale your databaseManage and improve server security to protect your dataTroubleshoot your PostgreSQL instance to find solutions to common and not-so-common problemsWho this book is for This database administration book is for PostgreSQL developers and database administrators and professionals who want to implement advanced functionalities and master complex administrative tasks with PostgreSQL 13. Prior experience in PostgreSQL and familiarity with the basics of database administration will assist with understanding key concepts covered in the book. |
| dallas data science bootcamp: Guidelines for Risk Based Process Safety CCPS (Center for Chemical Process Safety), 2011-11-30 Guidelines for Risk Based Process Safety provides guidelines for industries that manufacture, consume, or handle chemicals, by focusing on new ways to design, correct, or improve process safety management practices. This new framework for thinking about process safety builds upon the original process safety management ideas published in the early 1990s, integrates industry lessons learned over the intervening years, utilizes applicable total quality principles (i.e., plan, do, check, act), and organizes it in a way that will be useful to all organizations - even those with relatively lower hazard activities - throughout the life-cycle of a company. |
| dallas data science bootcamp: The Challenger Sale Matthew Dixon, Brent Adamson, 2011-11-10 What's the secret to sales success? If you're like most business leaders, you'd say it's fundamentally about relationships-and you'd be wrong. The best salespeople don't just build relationships with customers. They challenge them. The need to understand what top-performing reps are doing that their average performing colleagues are not drove Matthew Dixon, Brent Adamson, and their colleagues at Corporate Executive Board to investigate the skills, behaviors, knowledge, and attitudes that matter most for high performance. And what they discovered may be the biggest shock to conventional sales wisdom in decades. Based on an exhaustive study of thousands of sales reps across multiple industries and geographies, The Challenger Sale argues that classic relationship building is a losing approach, especially when it comes to selling complex, large-scale business-to-business solutions. The authors' study found that every sales rep in the world falls into one of five distinct profiles, and while all of these types of reps can deliver average sales performance, only one-the Challenger- delivers consistently high performance. Instead of bludgeoning customers with endless facts and features about their company and products, Challengers approach customers with unique insights about how they can save or make money. They tailor their sales message to the customer's specific needs and objectives. Rather than acquiescing to the customer's every demand or objection, they are assertive, pushing back when necessary and taking control of the sale. The things that make Challengers unique are replicable and teachable to the average sales rep. Once you understand how to identify the Challengers in your organization, you can model their approach and embed it throughout your sales force. The authors explain how almost any average-performing rep, once equipped with the right tools, can successfully reframe customers' expectations and deliver a distinctive purchase experience that drives higher levels of customer loyalty and, ultimately, greater growth. |
| dallas data science bootcamp: Getting started with Power Query in Power BI and Excel Reza Rad, Leila Etaati, 2021-08-27 Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in the structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else comes from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may be already familiar with some other data preparation and data transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Unfortunately, because Power Query and data preparation is the kitchen work of the BI system, many Power BI users skip the learning of it and become aware of it somewhere along their BI project. Once they get familiar with it, they realize there are tons of things they could have implemented easier, faster, and in a much more maintainable way using Power Query. In other words, they learn mastering Power Query is the key skill toward mastering Power BI. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is complied into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (this book) Mastering Power Query in Power BI and Excel (already available to be purchased separately) Power Query dataflows (will be published later) Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query. |
| dallas data science bootcamp: Computer Age Statistical Inference, Student Edition Bradley Efron, Trevor Hastie, 2021-06-17 The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science. |
| dallas data science bootcamp: Pass the PMP (Project Management Professional) Exam Hazim Gaber, 2019-01-08 Based on the 6th edition PMBOK Guide:registered: and has been fully updated for the December 2018 exam--Back cove |
| dallas data science bootcamp: Pmi-Rmp Exam Prep Study Guide Belinda Fremouw, 2017-04-12 Ideal for: - Self Study - Study Groups - Training Courses Based on A Guide to the Project Management Body of Knowledge (PMBOK(R) Guide) - Fifth Edition and the Practice Standard for Project Risk Management, this comprehensive PMI-RMP Exam Prep Study Guide provides learners with all of the information needed to be successful on the PMI-RMP exam. Exercises throughout the Study Guide ensure maximum learner engagement and retention. Aligned with: - PMI-RMP Examination Content Outline - Practice Standard for Project Risk Management - PMBOK(R) Guide - Fifth Edition |
| dallas data science bootcamp: Machine Learning in Dentistry Ching-Chang Ko, Dinggang Shen, Li Wang, 2021-07-24 This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to “learn”, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work. |
| dallas data science bootcamp: Warriors and Citizens Jim Mattis, Kori N. Schake, 2016-08-01 A diverse group of contributors offer different perspectives on whether or not the different experiences of our military and the broader society amounts to a gap—and if the American public is losing connection to its military. They analyze extensive polling information to identify those gaps between civilian and military attitudes on issues central to the military profession and the professionalism of our military, determine which if any of these gaps are problematic for sustaining the traditionally strong bonds between the American military and its broader public, analyze whether any problematic gaps are amenable to remediation by policy means, and assess potential solutions. The contributors also explore public disengagement and the effect of high levels of public support for the military combined with very low levels of trust in elected political leaders—both recurring themes in their research. And they reflect on whether American society is becoming so divorced from the requirements for success on the battlefield that not only will we fail to comprehend our military, but we also will be unwilling to endure a military so constituted to protect us. Contributors: Rosa Brooks, Matthew Colford,Thomas Donnelly, Peter Feaver, Jim Golby, Jim Hake, Tod Lindberg, Mackubin Thomas Owens, Cody Poplin, Nadia Schadlow, A. J. Sugarman, Lindsay Cohn Warrior, Benjamin Wittes |
| dallas data science bootcamp: Data Science and Intelligent Systems Radek Silhavy, Petr Silhavy, Zdenka Prokopova, 2021-11-16 This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results |
| dallas data science bootcamp: Esports Business Management David P. Hedlund, Gil Fried, Rick Smith, 2020-11-13 Esports have rapidly expanded from a pastime undertaken by casual players to one of the largest segments of the entertainment industry, in which hundreds of millions of people play and compete daily. Esports Business Management With HKPropel Access is one of the first textbooks to present an all-encompassing look into the world of esports business, will teach both aspiring students and sports professionals about the business of this rapidly expanding industry. Written by esports executives, business experts, and esports educators—and endorsed by the International Esports Federation, Esports Research Network, and the United States Esports Federation—the textbook offers a comprehensive approach to the operational side of esports, supplemented by a striking full-color design and dynamic imagery that will bring concepts to life. The text begins with a basic overview of the industry, including various levels of esports, culture, and social issues. Next, readers will explore the interests and concerns of various tiers of stakeholders—from title publishers and event organizers to leagues, sponsors, fans, and more—and learn about governance at multiple levels, from the international level to college conferences. A full look at the marketing engine of esports examines sponsorship opportunities, esports events and venues, and communications at all levels, including broadcasting, analytics, and social media. The book addresses managerial and business issues associated with running an esports-related entity, including financial and legal concepts as well as team and player management. The text concludes by examining careers found in the various segments of the industry and looking at the future of esports. Throughout the text, Zoning sidebars provide real-world spotlights that bring the concepts to life. Student learning will be enhanced by the related online learning aids delivered through HKPropel, with student exercises and case studies that apply content to life, industry profiles, and a list of Internet resources for further learning. While similarities exist between the sports and esports environments, there are also significant differences in how the esports industry must operate to thrive. Esports Business Management is the foundational text for understanding and working in this exciting, fast-paced industry. Note: A code for accessing HKPropel is not included with this ebook but may be purchased separately. |
| dallas data science bootcamp: Big Data James Warren, Nathan Marz, 2015-04-29 Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth |
| dallas data science bootcamp: The Ethical Algorithm Michael Kearns, Aaron Roth, 2020 Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. |
| dallas data science bootcamp: Cisco CCNA Routing and Switching 200-120 Official Cert Guide Library Wendell Odom, 2013 Cisco Press is the official publisher for the New CCENT & CCNA Routing and Switching Certifications. The New Edition of the Best-Selling two-book value priced CCNA Official Cert Guide Library includes Updated Content, New Exercises, 8 Practice Exams, and 150 Minutes of Video Training -- PLUS the CCENT and CCNA Network Simulator Lite Editions with 26 Free Network Simulator Labs. CCNA 200-120 Official Cert Guide Library is a comprehensive review and package for the latest CCNA exams. The two books contained in this package, CCENT / CCNA ICND1 100-101 Official Cert Guide and CCNA ICND2 200-101 Official Cert Guide, present complete reviews and a more challenging and realistic preparation experience. The books have been fully updated to refresh the content for the latest CCNA exam topics and enhance certain key topics that are critical for exam success. Best-selling author and expert instructor Wendell Odom shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. These official study guides help you master all the topics on the CCNA exams, including: Networking fundamentals Ethernet LANs and switches IPv4 addressing and subnetting Operating Cisco routers Configuring OSPF ACLs and NAT IPv6 fundamentals, implementation, and troubleshooting LAN switching IPv4 routing VPNs OSPF and EIGRP configuration and troubleshooting Wide area networks and Frame Relay Network management Well regarded for its level of detail, study plans, assessment features, challenging review questions and exercises, video instruction, and hands-on labs, these official study guides help you master the concepts and techniques that ensure your exam success. CCNA 200-120 Official Cert Guide Library is part of a recommended learning path from Cisco that includes simulation and hands-on training from authorized Cisco Learning Partners and self-study products from Cisco Press. 1587143879 / 9781587143878 CCNA Routing and Switching 200-120 Official Cert Guide Library 1/e Package consists of: 0131357549 / 9780131357549 TWO INCH MYLAR CLEAR WAFER SEAL 0133372006 / 9780133372007 Empty Slipcase for Exam 29 Cert Library 1587143739 / 9781587143731 CCNA Routing and Switching ICND2 200-101 Official Cert Guide 1587143852 / 9781587143854 CCENT/CCNA ICND1 100-101 Official Cert Guide |
| dallas data science bootcamp: Series 7 Study Guide Series 7 Exam Prep Review Team, 2017-11-07 Series 7 Study Guide: Test Prep Manual & Practice Exam Questions for the FINRA Series 7 Licence Exam Developed for test takers trying to achieve a passing score on the Series 7 exam, this comprehensive study guide includes: -Quick Overview -Test-Taking Strategies -Introduction to the Series 7 Exam -Regulatory Requirements -Knowledge of Investor Profile -Opening and Maintaining Customer Accounts -Business Conduct Knowledge & Suitable Recommendations -Orders and Transactions in Customer Accounts -Professional Conduct and Ethical Considerations -Primary Marketplace -Secondary Marketplace -Principal Factors Affecting Securities, Markets, and Prices -Analysis of Securities and Markets -Equity Securities -Debt Securities -Packaged Securities and Managed Investments -Options -Retirement Plans -Custodial, Edcation, and Health Savings -Practice Questions -Detailed Answer Explanations Each section of the test has a comprehensive review that goes into detail to cover all of the content likely to appear on the Series 7 exam. The practice test questions are each followed by detailed answer explanations. If you miss a question, it's important that you are able to understand the nature of your mistake and how to avoid making it again in the future. The answer explanations will help you to learn from your mistakes and overcome them. Understanding the latest test-taking strategies is essential to preparing you for what you will expect on the exam. A test taker has to not only understand the material that is being covered on the test, but also must be familiar with the strategies that are necessary to properly utilize the time provided and get through the test without making any avoidable errors. Anyone planning to take the Series 7 exam should take advantage of the review material, practice test questions, and test-taking strategies contained in this study guide. |
| dallas data science bootcamp: Selling Is an Away Game Lance Tyson, 2024-06-04 Selling Is an Away Game is a comprehensive guide designed to challenge traditional sales methods and transform how salespeople approach sales in today's dog-eat-dog world. There are few professions as competitive and cutthroat as sales. Faced with daily rejections and the pressure of impending quotas, successful salespeople are those who have the proper strength, grit, and knowledgeable strategies to rise above the competition. Lance Tyson's Selling Is an Away Game will immerse sales professionals in the mindset of the buyer and foster new strategies and tactics to help them become stronger and more effective salespeople. With over twenty years of sales experience, Lance knows what it takes to succeed in the industry and has compiled his knowledge into this definitive handbook to help companies and individuals increase sales production, shorten sales cycle time, reduce cost of sale, and develop talent. |
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Visit Dallas and explore the city's top things to do, places to eat, shopping and much more. Plan your trip with our guides, maps, weather and top insider tips for experiencing Dallas tourism to …
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From the classics like Reunion Tower and Perot Museum of Nature and Science, to new experiences in must-see spots like Trinity Groves and the Design District, there are endless …
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Browse our list of fun things to do in Dallas, Texas, including family-friendly activities, iconic attractions, hidden gems, and memorable cultural experiences.
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The many world-class attractions of Dallas are just what you expect: big, immersive and breathtaking! There's so much to see in Dallas - you'll need these guides to help you pick the …
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Explore nuestra lista de cosas divertidas que hacer en Dallas, Texas, incluidas actividades para toda la familia, atracciones emblemáticas, joyas ocultas y experiencias culturales memorables.
The History of Dallas - Visit Dallas
From our humble beginnings as a trading post to our emergence as a global city known for our booming economy, diverse culture, and welcoming atmosphere, explore the storied history of …
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The official Visit Dallas calendar of events. It's the most complete list of Dallas events, including concerts, festivals, fairs, sports, entertainment, museum exhibits, things to do with kids and …
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From Deep Ellum to Trinity Groves and beyond, there is so much to experience in Dallas, its surrounding cities and the places we call home! You can see and do it all in Dallas' many …
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Dallas is in the Central Time Zone in North Central Texas, 30 miles east of Fort Worth, 240 miles northwest of Houston, and 300 miles north of the Gulf of Mexico. Dallas is the county seat of …
