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KDnuggets Home » News » 2021 » May » Top Stories » Top April Stories: The Most In-Demand Skills for Data Scientists in 2021 ( 21:n18 )

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


The Most In-Demand Skills for Data Scientists in 2021; Data Science Books You Should Start Reading in 2021; How to organize your data science project; Shapash: Making Machine Learning Models Understandable.



Here are the most popular April 2021 stories on KDnuggets.

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

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


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

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


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

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







Gold BlogMost 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


Silver BlogMost Shared - Silver Badge (>300 shares)

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

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