Top April Stories: The Most In-Demand Skills for Data Scientists in 2021

Here are the most popular April 2021 stories on KDnuggets.

Most Viewed - Platinum Badge (>32,000 UPV)

1. The Most In-Demand Skills for Data Scientists in 2021, by Terence Shin (*)

Most Viewed - Gold Badge (>16,000 UPV)

2. Data Science Books You Should Start Reading in 2021, by Przemek Chojecki
3. How to organize your data science project in 2021, by Benjamin Obi Tayo
4. Shapash: Making Machine Learning Models Understandable, by Yann Golhen
5. Data Scientist vs Machine Learning Engineer: what are their skills?, by Matthew Przybyla

Most Viewed - Silver Badge (> 8,000 UPV)

6. How to ace A/B Testing Data Science Interviews, by Preeti Semwal (*)
7. Awesome Tricks And Best Practices From Kaggle, by Bex T.
8. A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 1, by Emma Ding
9. Top 10 Must-Know Machine Learning Algorithms for Data Scientists, Part 1, by Matthew Mayo
10. The 8 Most Common Data Scientists, by JABDE
11. A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 2, by Emma Ding
12. Easy AutoML in Python, by Dylan Sherry
13. How to deploy Machine Learning/Deep Learning models to the web, by Ahmad Anis
14. Interpretable Machine Learning: The Free eBook, by Matthew Mayo
15. Working With Time Series Using SQL, by Michael Grogan (*)

---

Most Shared - Gold Badge (>500 shares)

1. The Most In-Demand Skills for Data Scientists in 2021, by Terence Shin
2. Data Science Books You Should Start Reading in 2021, by Przemek Chojecki

Most Shared - Silver Badge (>300 shares)

3. How to deploy Machine Learning/Deep Learning models to the web, by Ahmad Anis
4. How to organize your data science project in 2021, by Benjamin Obi Tayo
5. Interpretable Machine Learning: The Free eBook, by Matthew Mayo
6. Data Scientist vs Machine Learning Engineer: what are their skills?, by Matthew Przybyla
7. Top 10 Must-Know Machine Learning Algorithms for Data Scientists - Part 1, by Matthew Mayo
8. Why You Should Consider Being a Data Engineer Instead of a Data Scientist, by Terence Shin

(*) 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. Why You Should Consider Being a Data Engineer Instead of a Data Scientist, by Terence Shin
2. Learn Neural Networks for Natural Language Processing Now, by Matthew Mayo
3. Feature Engineering of DateTime Variables for Data Science, Machine Learning, by Samarth Agrawal
4. 7 Must-Haves in your Data Science CV, by Elad Cohen
5. How to deploy Machine Learning/Deep Learning models to the web, by Ahmad Anis