Build a Career in Data Science

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Build a Career in Data Science

Author : Emily Robinson, Jacqueline Nolis

Publisher ‏ : Manning; 1st edition (March 24, 2020)

Language ‏ : ‎ English

Paperback ‏ : ‎ 354 Pages

1) Book Description

You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Table of Contents:

PART 1 - GETTING STARTED WITH DATA SCIENCE

1. What is data science?

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

12. Working with stakeholders

PART 4 - GROWING IN YOUR DATA SCIENCE ROLE

13. When your data science project fails

14. Joining the data science community

15. Leaving your job gracefully

16. Moving up the ladder

2) About Author

Jacqueline Nolis is a data science consultant and co-founder of Nolis, LLC, with a PhD in Industrial Engineering. Jacqueline has spent years mentoring junior data scientists on how to work within organizations and grow their careers.

Emily Robinson is a senior data scientist at Warby Parker, and holds a Master's in Management. Emily's academic background includes the study of leadership, negotiation, and experiences of underrepresented groups in STEM.