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====== ✅ Details ======

Dan, formerly a data scientist at Google and PayPal, reviews 5 fundamental topics candidates need to review in preparation for data science interviews. These are topics that are asked in business-case, statistics, and statistical-coding rounds. For more prep content, check out datainterview.com/

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====== ⏱️ Timestamps ======

0:00 Intro
00:51 Central Tendency
05:05 Dispersion
06:17 Correlation
10:42 Normal Distribution
12:53 Hypothesis Testing
20:00 Other Concepts to Know
20:41 Conclusion

====== 📚 Other Useful Contents ======

1. Principles and Frameworks of Product Metrics | YouTube Case Study

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2. How to Crack the Data Scientist Case Interview

Link: medium.com/datainterview/crack-the-data-scientist-…

3. How to Crack the Amazon Data Scientist Interview

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====== Connect ======

📗 LinkedIn - www.linkedin.com/in/danleedata/
📘 Medium - medium.com/datainterview