Top October Stories: How to Become a (Good) Data Scientist; Everything a Data Scientist Should Know About Data Management; The Last SQL Guide for Data Analysis

Here are the most popular posts in KDnuggets in October. For the first time we have 3 platinum blogs in one month!

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

1. How to Become a (Good) Data Scientist - Beginner Guide, by Sciforce (*)
2. Everything a Data Scientist Should Know About Data Management, by Phoebe Wong and Robert Bennett (*)
3. The Last SQL Guide for Data Analysis You'll Ever Need, by Muhsin Warfa (*)

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

4. A European Approach to Master's Degrees in Data Science, by Marco Piangerelli and Jeff Johnson (*)

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

5. 10 Free Top Notch Natural Language Processing Courses, by Matthew Mayo
6. 5 Statistical Traps Data Scientists Should Avoid, by Matthew Mayo
7. The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization, by Jose Berengueres (*)
8. How YouTube is Recommending Your Next Video, by Tim Elfrink

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Most Shared - Gold Badge (>600 shares)

1. Everything a Data Scientist Should Know About Data Management, by Phoebe Wong and Robert Bennett.
2. How YouTube is Recommending Your Next Video, by Tim Elfrink

Most Shared - Silver Badge (>300 shares)

3. How to Become a (Good) Data Scientist - Beginner Guide, by Sciforce
4. The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization, by Jose Berengueres
5. The Last SQL Guide for Data Analysis You'll Ever Need, by Muhsin Warfa
6. 10 Free Top Notch Natural Language Processing Courses, by Matthew Mayo
7. A European Approach to Master's Degrees in Data Science Marco Piangerelli and, by Jeff Johnson
8. Choosing the Right Clustering Algorithm for your Dataset, by Josh Thompson (*)

(*) 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. How YouTube is Recommending Your Next Video, by Tim Elfrink
2. Activation maps for deep learning models in a few lines of code By, by Tirthajyoti Sarkar
3. Data Preparation for Machine learning 101: Why it's important and how to do it, by Nandhini TS
4. Introduction to Natural Language, by Ibrahim Sharaf ElDen
5. Feature Selection: Beyond feature importance?, by Dor Amir