Book description
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.Table of contents
- Copyright
- Brief Table of Contents
- Table of Contents
- Preface
- Acknowledgments
- About This Book
- About the Authors
- About the Cover Illustration
-
Part 1. Getting started with data science
- Chapter 1. What is data science?
-
Chapter 2. Data science companies
- 2.1. MTC: Massive Tech Company
- 2.2. HandbagLOVE: The established retailer
- 2.3. Seg-Metra: The early-stage startup
- 2.4. Videory: The late-stage, successful tech startup
- 2.5. Global Aerospace Dynamics: The giant government contractor
- 2.6. Putting it all together
- 2.7. Interview with Randy Au, quantitative user experience researcher at Google
- Summary
- Chapter 3. Getting the skills
- Chapter 4. Building a portfolio
- Part 2. Finding your data science job
- Part 3. Settling into data science
- Part 4. Growing in your data science role
- Epilogue
- Appendix. Interview questions
- Index
- List of Figures
- List of Tables
Product information
- Title: Build a Career in Data Science
- Author(s):
- Release date: March 2020
- Publisher(s): Manning Publications
- ISBN: 9781617296246
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