Top February Stories: We Don’t Need Data Scientists, We Need Data Engineers; How to create stunning visualizations using python from scratch

Here are the most popular KDnuggets posts in February:

Most Viewed - Platinum Badge (>30,000 UPV)

1. We Don't Need Data Scientists, We Need Data Engineers, by Mihail Eric (*)
2. How to create stunning visualizations using python from scratch, by Sharan Kumar R (*)
3. How to Get Your First Job in Data Science without Any Work Experience, by Madison Hunter (*)
4. Telling a Great Data Story: A Visualization Decision Tree, by Stan Pugsley (*)
5. Data Science vs Business Intelligence, Explained, by Stan Pugsley (*)

Most Viewed - Gold Badge (>18,000 UPV)

6. Powerful Exploratory Data Analysis in just two lines of code, by Francois Bertrand (*)
7. Data Science Learning Roadmap for 2021, by Harshit Tyagi
8. The Best Data Science Project to Have in Your Portfolio, by Soner Yildirim (*)
9. Machine Learning Systems Design: A Free Stanford Course, by Matthew Mayo (*)
10. Cartoon: Data Scientist vs Data Engineer, by Gregory Piatetsky (*)

Most Viewed - Silver Badge (> 7,500 UPV)

11. How Reading Papers Helps You Be a More Effective Data Scientist, by Eugene Yan
12. Build Your First Data Science Application, by Naser Tamimi
13. Deep learning doesn't need to be a black box, by Ben Dickson
14. Approaching (Almost) Any Machine Learning Problem, by Matthew Mayo
15. How to Get Data Science Interviews: Finding Jobs, Reaching Gatekeepers, and Getting Referrals, by Emma Ding
16. 3 Ways Understanding Bayes Theorem Will Improve Your Data Science, by Nicole Janeway Bills

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

1. We Don't Need Data Scientists, We Need Data Engineers, by Mihail Eric

Most Shared - Gold Badge (>500 shares)

2. How to Get Your First Job in Data Science without Any Work Experience, by Madison Hunter
3. How to create stunning visualizations using python from scratch, by Sharan Kumar R
4. Telling a Great Data Story: A Visualization Decision Tree, by Stan Pugsley
5. Data Science vs Business Intelligence, Explained, by Stan Pugsley
6. Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall, by Ahmed Gad (*)
7. 6 NLP Techniques Every Data Scientist Should Know, by Sara Metwalli (*)

Most Shared - Silver Badge (>300 shares)

8. Data Science Learning Roadmap for 2021, by Harshit Tyagi
9. Essential Math for Data Science: Introduction to Matrices and the Matrix Product, by Hadrien Jean (*)
10. Deep learning doesn't need to be a black box, by Ben Dickson
11. Machine Learning Systems Design: A Free Stanford Course, by Matthew Mayo
12. Getting Started with 5 Essential Natural Language Processing Libraries, by Matthew Mayo (*)
13. Build Your First Data Science Application, by Naser Tamimi

(*) 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. 6 NLP Techniques Every Data Scientist Should Know, by Sara Metwalli
2. Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall, by Ahmed Gad
3. Getting Started with 5 Essential Natural Language Processing Libraries, by Matthew Mayo
4. Essential Math for Data Science: Introduction to Matrices and the Matrix Product, by Hadrien Jean
5. 10 resources for data science self-study, by Benjamin Obi Tayo