5 Concepts in Statistics You Should Know | Data Science Interview

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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 https://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

Link: https://medium.com/datainterview/principles-and-frameworks-of-product-metrics-youtube-case-study-ff63257a82d3

2. How to Crack the Data Scientist Case Interview

Link: https://medium.com/datainterview/crack-the-data-scientist-case-interview-by-an-ex-google-data-scientist-f44da750cffe

3. How to Crack the Amazon Data Scientist Interview

Link: https://medium.com/datainterview/crack-the-amazon-data-scientist-interviews-ex-faang-data-scientist-78189a5a689e

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

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

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