000			02020nam a2200229Ia 4500
003			NULRC
005			20250520103029.0
008			250520s9999 xx 000 0 und d
020			_a9781617296246
040			_cNULRC
050			_aQA 76.9.B45 .R63 2020
100			_aRobinson, Emily _eauthor
245		0	_aBuild a career in data science / _cEmily Robinson and Jacqueline Nolis
260			_aShelter Island, NY : _bManning Publications, _cc2020
300			_axxvii, 322 pages : _billustrations ; _c24 cm.
365			_bUSD40
504			_aIncludes index.
505			_aPart 1. Getting started with data science -- 1 What is data science? free audio -- 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 -- Part 4. Growing in your data science role. -- 12 Working with stakeholders -- 13 When your data science project fails -- 14. Joining the data science community -- 15 Leaving your job gracefully -- 16 Moving up the ladder - Appendix: Interview questions.
520			_aBuild 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.
650			_aBIG DATA
942			_2lcc _cBK
999			_c21791 _d21791