"The first-of-its-kind book to discuss data science career development in a systematic way! Highly valuable and timely in a world that generates more and more data!” Michael Li, VP of Data at Coinbase "A valuable reference filled with new and useful coaching and techniques. A must-have." Jesse Bridgewater, VP Data Science at Brightline, formerly Livongo, Twitter, eBay "This is a book that surpasses the boundaries of mining data and coding, but warns you about not forgetting them in the effort to successfully lead data science teams." Jesús A. Juárez-Guerrero, Automation Expert, Tenaris How to Lead in Data Science Own Your Tech Career Build a Career in Data Science Data Science Bookcamp Practical Data Science with R ISBN 9781617298899 9781617299070 9781617296246 9781617296253 9781617295874 User Experience Level Introductory - Intermediate Introductory - Intermediate Introductory Introductory - Intermediate Introductory - Intermediate Readers Who Want To grow into a leadership role within data science, from heading up a single project, to overseeing a whole company's data strategy. A guide to taking control of your professional life. It teaches you to approach your career with planning and purpose. To accelerate their career in Data Science by following a laid out plan. To test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. A practice-oriented approach to explaining basic principles in the ever expanding field of data science. Special Features Learn how to lead projects, architect a long-term strategy and data roadmap, grow and manage a team, and deliver a data-driven culture. You’ll discover in-demand communication and teamwork skills, essential rules for professionalism, tactics of the modern job hunt, and more. Write a portfolio, assess and negotiate an offer, move up the ladder gracefully with interviews from professional data scientists. Learn how to organize datasets with clustering algorithms, visualize complex multi-variable datasets, and train a decision tree machine learning algorithm. Use real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Praise For 'Spot-on as a career resource! Captures what’s important to be successful as a data scientist.'—Eric Colson, Former Data Executive at Stitch Fix, Netflix 'Valuable advice for every stage of your tech career.'—Lee M. Cottrell, Pittsburgh Technical College 'Full of useful advice, real-case scenarios, and contributions from professionals in the industry.'—Sebastián Palma Mardones, ArchDaily 'This book is a complete package for understanding how the data science process works end to end.'—Ayon Roy, Internshala 'Great examples and an informative walk-through of the data science process.'_David Meza, NASA Page Count 512 264 354 704 508
✔ Author(s): Jike Chong,Yue Cathy Chang
✔ Title: How to Lead in Data Science
✔ Rating : 5 out of 5 base on (35 reviews)
✔ ISBN-10: 1617298891
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
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