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
โข Creating a portfolio of data science projects
โข Assessing and negotiating an offer
โข Leaving gracefully and moving up the ladder
โข Interviews with professional data scientists
About the reader
For readers who want to begin or advance a data science career.
About the author
Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor.