Download or read book Don t Mess With Me I m A Data Scientist written by Teesson Inc and published by . This book was released on 2019-12-15 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect Gift For Computer Geek or Data Science related peoples. There is 120 pages in this book and the size of this book is 6*9 inch. Those who love and like works with data, they can note necessary information in this book. It has a very good looking message designed on the cover, so that is gonna love anyone in the data science field.
Download or read book Don t Mess with Me I m a Data Scientist written by Teesson Inc and published by . This book was released on 2019-12-15 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect Gift For Computer Geek or Data Science related peoples. There is 120 pages in this book and the size of this book is 6*9 inch. Those who love and like works with data, they can note necessary information in this book. It has a very good looking message designed on the cover, so that is gonna love anyone in the data science field.
Download or read book Don t Mess with Me I m a Data Analyst written by Teesson Inc and published by . This book was released on 2019-12-15 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect Gift For Computer Geek or Data Science related peoples. There is 120 pages in this book and the size of this book is 6*9 inch. Those who love and like works with data, they can note necessary information in this book. It has a very good looking message designed on the cover, so that is gonna love anyone in the data science field.
Download or read book Don t Mess With Me I m A Data Analyst written by Teesson Inc and published by . This book was released on 2019-12-15 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect Gift For Computer Geek or Data Science related peoples. There is 120 pages in this book and the size of this book is 6*9 inch. Those who love and like works with data, they can note necessary information in this book. It has a very good looking message designed on the cover, so that is gonna love anyone in the data science field.
Download or read book Don t Mess with Me I Am a Data Scientist written by OSMMess Notebook and published by . This book was released on 2019-12-26 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lined notebook makes a funny gift idea for friend, brother, sister or your lover. Great size to carry everywhere in your bag. Great for you to write all you want. Best for giving friends, family new year gift and much more. It can be used to write notes, diary, planner, and journal. 6*9 inches 120 pages Lined white paper Matte-finished cover. Click on our brind and check more designs in our shop.
Download or read book Don t Mess With Me I Am A Data Scientist written by Kathy Notebooks and published by . This book was released on 2019-12-12 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Writing Journal with Career Related Motivational Quotes for Men, Women and Adults. Write all your Daily weekly monthly yearly short and long term Goals, Activities and Schedule in this Notebook Journal. 120 pages of 6x9 Journal is the perfect size and easy to handle. This notebook have Matte finish and high quality White paper. Making notes is a healthy activity to make you life easy. You can Gift this Career Journal to Your Friends Family or Colleagues.
Download or read book Good Charts written by Scott Berinato and published by Harvard Business Review Press. This book was released on 2016-04-26 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dataviz—the new language of business A good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication. For a long time “dataviz” was left to specialists—data scientists and professional designers. No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could. What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success. In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice. Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.
Download or read book Trust Me I m a Data Scientist written by Teesaurus Publishing and published by Createspace Independent Publishing Platform. This book was released on 2018-09-07 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lined notebook makes the perfect gift for data scientists. 6x9 inches 110 pages Lined White paper Matte-finished cover
Download or read book Build a Career in Data Science written by Emily Robinson and published by Manning Publications. This book was released on 2020-03-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder
Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book A First Course in Machine Learning written by Simon Rogers and published by CRC Press. This book was released on 2016-10-14 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the main algorithms and ideas that underpin machine learning techniques and applications Keeps mathematical prerequisites to a minimum, providing mathematical explanations in comment boxes and highlighting important equations Covers modern machine learning research and techniques Includes three new chapters on Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models Offers Python, R, and MATLAB code on accompanying website: http://www.dcs.gla.ac.uk/~srogers/firstcourseml/"
Download or read book Don t Talk to Me I m Analyzing Data written by 4k Print Studio and published by . This book was released on 2019-12-23 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't Talk To Me I'm Analyzing Data is a funny yet elegant Notebook, Journal, and Diary to write down all those geeky ideas. A must-have for any data analyst, computer scientist, big data analyst, Behavior Analyst, teacher or student, and an excellent gift idea for friends and family! Impress the people around you with this cool notebook. 6" x 9" 120 pages blank lined journal with a soft matte cover finish.
Download or read book Don t Argue With The Data Scientist written by Data Nerd Notebooks and published by . This book was released on 2019-11-22 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lined notebook makes a funny data science gift for data scientists and data analysts. 6x9 inches 110 pages Lined White paper Matte-finished cover
Download or read book Living in Data written by Jer Thorp and published by MCD. This book was released on 2021-05-04 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jer Thorp’s analysis of the word “data” in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with “data,” we find not only its classic companions “information” and “digital,” but also a variety of new neighbors—from “scandal” and “misinformation” to “ethics,” “friends,” and “play.” To live in data in the twenty-first century is to be incessantly extracted from, classified and categorized, statisti-fied, sold, and surveilled. Data—our data—is mined and processed for profit, power, and political gain. In Living in Data, Thorp asks a crucial question of our time: How do we stop passively inhabiting data, and instead become active citizens of it? Threading a data story through hippo attacks, glaciers, and school gymnasiums, around colossal rice piles, and over active minefields, Living in Data reminds us that the future of data is still wide open, that there are ways to transcend facts and figures and to find more visceral ways to engage with data, that there are always new stories to be told about how data can be used. Punctuated with Thorp's original and informative illustrations, Living in Data not only redefines what data is, but reimagines who gets to speak its language and how to use its power to create a more just and democratic future. Timely and inspiring, Living in Data gives us a much-needed path forward.
Download or read book Agile Data Science written by Russell Jurney and published by "O'Reilly Media, Inc.". This book was released on 2013-10-15 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track
Download or read book The Data Science Design Manual written by Steven S. Skiena and published by Springer. This book was released on 2017-07-01 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)
Download or read book Leadership in Statistics and Data Science written by Amanda L. Golbeck and published by Springer Nature. This book was released on 2021-03-22 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited collection brings together voices of the strongest thought leaders on diversity, equity and inclusion in the field of statistics and data science, with the goal of encouraging and steering the profession into the regular practice of inclusive and humanistic leadership. It provides futuristic ideas for promoting opportunities for equitable leadership, as well as tested approaches that have already been found to make a difference. It speaks to the challenges and opportunities of leading successful research collaborations and making strong connections within research teams. Curated with a vision that leadership takes a myriad of forms, and that diversity has many dimensions, this volume examines the nuances of leadership within a workplace environment and promotes storytelling and other competencies as critical elements of effective leadership. It makes the case for inclusive and humanistic leadership in statistics and data science, where there often remains a dearth of women and members of certain racial communities among the employees. Titled and non-titled leaders will benefit from the planning, evaluation, and structural tools offered within to contribute inclusive excellence in workplace climate, environment, and culture.
