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