Book Notes - Build a Career in Data Science

- 32 mins

The Book in Three Sentences

The book provides extensive interviews and research to outline 3 essentials skills that can advance anyone’s career in the field of data science. 1) Learn to communicate effectively, 2) Be proactive, and 3) Seek a community to help you advance your career. Based on your current level, investing your time proportionately in contributing to open source, building a blog/portfolio, attending conferences and giving talks could help you advance your career.


Build a Career in Data Science Chapter Notes and Summary

My notes are informal and often contain quotes from the book as well as my own thoughts. This summary also includes key lessons and important passages from each chapter in the book.

PART 1 GETTING STARTED WITH DATA SCIENCE

Chapter 1 - What is data science?

Chapter 2 - Data science companies

Summary

Chapter 3 - Getting the skills

Chapter 4 - Building a portfolio

PART 2 FINDING YOUR DATA SCIENCE JOB

Chapter 5 - The search: Identifying the right job for you

Chapter 6 - The application: Résumés and cover letters

PART 4 GROWING IN YOUR DATA SCIENCE ROLE

Chapter 13 - When your data science project fails

Summary * Data science projects usually fail because of inadequate data, a lack of signal, or not being right for the customer. * After a project fails, catalog why and consider pivoting or ending it. * A project failure isn’t a reflection on the quality of the data scientist. * A data scientist isn’t solely responsible for a project failure.

Chapter 14 - Joining the data science community

Chapter 16 - Moving up the ladder

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