Build a career in data science / Emily Robinson and Jacqueline Nolis

Includes index.

Part 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.

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.