Cracking the Data Science Interview

eBook Details:

• Paperback: 404 pages
• Publisher: WOW! eBook (February 29, 2024)
• Language: English
• ISBN-10: 1805120506
• ISBN-13: 978-1805120506

eBook Description:

Cracking the Data Science Interview: Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more

The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company.

Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you’ll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview.

• Explore data science trends, job demands, and potential career paths
• Secure interviews with industry-standard resume and portfolio tips
• Practice data manipulation with Python and SQL
• Learn about supervised and unsupervised machine learning models
• Master deep learning components such as backpropagation and activation functions
• Enhance your productivity by implementing code versioning through Git
• Streamline workflows using shell scripting for increased efficiency

By the end of this Cracking the Data Science Interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.