Top April Stories: The most desired skill in data science; Top 10 Coding Mistakes Made by Data Scientists

Also: Another 10 Free Must-See Courses for Machine Learning and Data Science; How to Recognize a Good Data Scientist Job From a Bad One.
By Gregory Piatetsky, KDnuggets.
Here are the most popular posts in KDnuggets in April, based on the number of unique page views (UPV), and social share counts from Facebook, Twitter, and AddThis.

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

  1. The most desired skill in data science, by Kaiser Fung (*)
  2. Top 10 Coding Mistakes Made by Data Scientists, by Norman Niemer (*)


Gold BlogMost Viewed - Gold Badges (>12,000 UPV)

  1. How to Recognize a Good Data Scientist Job From a Bad One, by Kayla Matthews
  2. Data Visualization in Python: Matplotlib vs Seaborn, by Asel Mendis


Silver BlogMost Viewed - Silver Badges (> 6,000 UPV)

  1. How To Go Into Data Science: Ultimate Q&A for Aspiring Data Scientists with Serious Guides, by Admond Lee
  2. Best Data Visualization Techniques for small and large data, by SciForce
  3. Another 10 Free Must-See Courses for Machine Learning and Data Science, by Matthew Mayo
  4. Predict Age and Gender Using Convolutional Neural Network and OpenCV, by Nagesh Singh Chauhan
  5. Advice for New Data Scientists, by Lindsay M. Pettingill (*)
  6. Why Data Scientists Need To Work In Groups, by Norman Arvidsson (*)
  7. Pandas DataFrame Indexing, by Brandon Rohrer


Platinum BlogMost Shared - Platinum Badge (>1,200 shares)

  1. Another 10 Free Must-See Courses for Machine Learning and Data Science, by Matthew Mayo (*)
  2. Top 10 Coding Mistakes Made by Data Scientists, by Norman Niemer



Silver BlogMost Shared - Gold Badges (>600 shares)

  1. Data Visualization in Python: Matplotlib vs Seaborn, by Asel Mendis


Silver BlogMost Shared - Silver Badges (>300 shares)

  1. Top Data Science and Machine Learning Methods Used in 2018, 2019, by Matthew Mayo
  2. The most desired skill in data science, by Kaiser Fung
  3. Best Data Visualization Techniques for small and large data, by SciForce
  4. How to Recognize a Good Data Scientist Job From a Bad One, by Kayla Matthews
  5. 7 Qualities Your Big Data Visualization Tools Absolutely Must Have and 10 Tools That Have Them, by Hiral Atha (*)


(*) 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. Data Science with Optimus Part 2: Setting your DataOps Environment, by Favio Vazquez
  2. Another 10 Free Must-See Courses for Machine Learning and Data Science, by Matthew Mayo
  3. Top Data Science and Machine Learning Methods Used in 2018, 2019, by Matthew Mayo
  4. Normalization vs Standardization - Quantitative analysis, by Shay Geller
  5. 7 Qualities Your Big Data Visualization Tools Absolutely Must Have and 10 Tools That Have Them, by Hiral Atha





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