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Cracking the Data Science Interview

You're reading from   Cracking the Data Science Interview Unlock insider tips from industry experts to master the data science field

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781805120506
Length 404 pages
Edition 1st Edition
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Authors (2):
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Leondra R. Gonzalez Leondra R. Gonzalez
Author Profile Icon Leondra R. Gonzalez
Leondra R. Gonzalez
Aaren Stubberfield Aaren Stubberfield
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Aaren Stubberfield
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Breaking into the Data Science Field FREE CHAPTER
2. Chapter 1: Exploring Today’s Modern Data Science Landscape 3. Chapter 2: Finding a Job in Data Science 4. Part 2: Manipulating and Managing Data
5. Chapter 3: Programming with Python 6. Chapter 4: Visualizing Data and Data Storytelling 7. Chapter 5: Querying Databases with SQL 8. Chapter 6: Scripting with Shell and Bash Commands in Linux 9. Chapter 7: Using Git for Version Control 10. Part 3: Exploring Artificial Intelligence
11. Chapter 8: Mining Data with Probability and Statistics 12. Chapter 9: Understanding Feature Engineering and Preparing Data for Modeling 13. Chapter 10: Mastering Machine Learning Concepts 14. Chapter 11: Building Networks with Deep Learning 15. Chapter 12: Implementing Machine Learning Solutions with MLOps 16. Part 4: Getting the Job
17. Chapter 13: Mastering the Interview Rounds 18. Chapter 14: Negotiating Compensation 19. Index 20. Other Books You May Enjoy

Querying Databases with SQL

In this chapter, you’ll learn the essential aspects of databases, starting with a broad overview, then diving deep into the fundamental language of SQL, exploring crucial concepts such as subqueries, JOIN, CASE WHEN, window functions, aggregations, and how to tackle complex queries.

Our goal is to provide you with the knowledge and tools necessary to tackle any database-related question in a technical interview effectively. This is crucial for those preparing for a technical interview because understanding databases is a foundational skill for data scientists; equipped with the knowledge shared in these chapters, you’ll be ready to face any database question confidently and proficiently.

So, in this chapter, we will cover the following topics:

  • Introducing relational databases
  • Mastering SQL basics
  • Aggregating with GROUP BY and HAVING
  • Creating fields with CASE WHEN
  • Analyzing subqueries and CTEs
  • Merging tables...
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