February 2024
Beginner to intermediate
404 pages
10h 46m
English
Overview
"Cracking the Data Science Interview" is your ultimate resource for preparing for roles in the competitive field of data science. With this book, you'll explore essential topics such as Python, SQL, statistics, and machine learning, as well as learn practical skills for building portfolios and acing interviews. Follow its guidance and you'll be equipped to stand out in any data science interview.
What this Book will help me do
- Confidently explain complex statistical and machine learning concepts.
- Develop models and deploy them while ensuring version control and efficiency.
- Learn and apply scripting skills in shell and Bash for productivity.
- Master Git workflows to handle collaborative coding in projects.
- Perfectly tailor portfolios and resumes to land data science opportunities.
Author(s)
Leondra R. Gonzalez, with years of data science and mentorship experience, co-authors this book with None Stubberfield, a seasoned expert in technology and machine learning. Together, they integrate their expertise to provide practical advice for navigating the data science job market.
Who is it for?
If you're preparing for data science interviews, this book is for you. It's ideal for candidates with a foundational knowledge of Python, SQL, and statistics looking to refine and expand their technical and professional skills. Professionals transitioning into data science will also find it invaluable for building confidence and succeeding in this rewarding field.
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