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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

Understanding the compensation landscape

Congratulations, you’ve received a job offer! However, before embarking on the negotiation journey, it’s crucial to map the compensation terrain. This entails delving into the company culture, industry norms, and the specifics of the job market.

To effectively research the appropriate salary range, consider not only the role’s regional market value but also how your personal qualifications align with industry expectations. Resources such as Glassdoor, Payscale, Salary.com, and the Bureau of Labor Statistics (BLS) are invaluable in this process. They provide detailed salary benchmarks, considering factors such as location, years of experience, and the unique skill sets that the job demands. Utilize these platforms along with industry reports and networking connections to gather a comprehensive view of what competitors are offering for similar positions.

Why is this extensive preliminary research crucial? It sets the...

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