Video description
Full of useful advice, real-case scenarios, and contributions from professionals in the industry.
Sebastián Palma Mardones, ArchDaily
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.
about the technology
What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career.
about the book
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.
what's inside
- Creating a portfolio of data science projects
- Assessing and negotiating an offer
- Leaving gracefully and moving up the ladder
- Interviews with professional data scientists
about the audience
For learners who want to begin or advance a data science career.
about the authors
Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor.
The perfect companion for someone who wants to be a successful data scientist!
Gustavo Gomes, Brightcove
Insightful overview of all aspects of a data science career.
Krzysztof Jędrzejewski, Pearson
Highly recommended.
Hagai Luger, Clarizen
NARRATED BY JEROMY LLOYD
Table of Contents
Part 1. Getting started with data science
Chapter 1. What is data science?
Chapter 2. Data science companies
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
Chapter 7. The interview: What to expect and how to handle it
Chapter 8. The offer: Knowing what to accept
Part 3. Settling into data science
Chapter 9. The first months on the job
Chapter 10. Making an effective analysis
Chapter 11. Deploying a model into production
Chapter 12. Working with stakeholders
Part 4. Growing in your data science role
Chapter 13. When your data science project fails
Chapter 14. Joining the data science community
Chapter 15. Leaving your job gracefully
Chapter 16. Moving up the ladder
Appendix. Interview questions
Epilogue