Top December Stories: Why the Future of ETL Is Not ELT, But EL(T); 20 Core Data Science Concepts for Beginners

Here are the most popular posts in KDnuggets in December

Most Viewed - Platinum Badge (>24,000 UPV)

1. Why the Future of ETL Is Not ELT, But EL(T), by John Lafleur (*)
2. 20 Core Data Science Concepts for Beginners, by Benjamin Obi Tayo (*)

Most Viewed - Gold Badge (>12,000 UPV)

3. A Rising Library Beating Pandas in Performance, by Ezz El Din Abdullah (*)
4. Introduction to Data Engineering, by Xinran Waibel (*)
5. Monte Carlo integration in Python, by Tirthajyoti Sarkar
6. SQL vs NoSQL: 7 Key Takeaways, by Alex Williams (*)
7. Generating Beautiful Neural Network Visualizations, by Matthew Mayo (*)
8. Crack SQL Interviews, by Xinran Waibel
9. Meet whale! The stupidly simple data discovery tool, by Robert Yi (*)
10. Object-Oriented Programming Explained Simply for Data Scientists, by Rahul Agrawal (*)

Most Viewed - Silver Badge (> 6,000 UPV)

11. R or Python? Why Not Both?, by Matthew Mayo (*)
12. 10 Python Skills They Don't Teach in Bootcamp, by Nicole Janeway Bills (*)
13. AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021, by Matthew Mayo
14. Key Data Science Algorithms Explained: From k-means to k-medoids clustering, by Arushi Prakash (*)
15. NoSQL for Beginners, by Alex Williams (*)

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Most Shared - Platinum Badge (>1,000 shares)

1. 15 Free Data Science, Machine Learning & Statistics eBooks for 2021, by Matthew Mayo (*)

Most Shared - Gold Badge (>500 shares)

2. Why the Future of ETL Is Not ELT, But EL(T), by John Lafleur
3. 20 Core Data Science Concepts for Beginners, by Benjamin Obi Tayo
4. Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology, by Gregory Piatetsky (*)
5. A Rising Library Beating Pandas in Performance, by Ezz El Din Abdullah

Most Shared - Silver Badge (>300 shares)

6. Generating Beautiful Neural Network Visualizations, by Matthew Mayo
7. AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021, by Matthew Mayo
8. Introduction to Data Engineering, by Xinran Waibel
9. State of Data Science and Machine Learning 2020: 3 Key Findings, by Matthew Mayo
10. Key Data Science Algorithms Explained: From k-means to k-medoids clustering, by Arushi Prakash

(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.

1. 15 Free Data Science, Machine Learning & Statistics eBooks for 2021, by Matthew Mayo
2. State of Data Science and Machine Learning 2020: 3 Key Findings, by Matthew Mayo
3. Optimization Algorithms in Neural Networks, by Nagesh Singh Chauhan
4. Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology, by Gregory Piatetsky