Here are the most popular July 2021 stories on KDnuggets. The top story, “Data Scientists and ML Engineers Are Luxury Employees” touched upon the same topic as our recent poll – the demand for Data Scientists and related professions, but our poll results show that the majority of KDnuggets readers remain confident that Data Scientists will not go extinct in 10 years. Rather, KDnuggets readers want to improve their skills, and two very popular posts about it were Advice for Learning Data Science from Google’s Director of Research and 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist. Check the other top stories below!

Stories in green font are also the winners of KDnuggets Top Blog Rewards for July.

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

1. Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes (*)
2. Top 6 Data Science Online Courses in 2021, by Natassha Selvaraj (*)

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

3. Advice for Learning Data Science from Google’s Director of Research, by Benjamin Obi Tayo (*)
4. 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist, by Tessa Xie
5. Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd (*)
6. A Learning Path To Becoming a Data Scientist, by Sara Metwalli (*)
7. Geometric foundations of Deep Learning, by Michael Bronstein, Joan Bruna, Taco Cohen, and PV (*)
8. GitHub Copilot Open Source Alternatives, by Matthew Mayo

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

9. How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?, by Tirthajyoti Sarkar (*)
10. 5 Python Data Processing Tips & Code Snippets, by Matthew Mayo (*)
11. Design patterns in machine learning, by Agoston Torok (*)
12. How to Get Practical Data Science Experience to be Career-Ready, by Terence Shin (*)

Most Shared – Platinum Badge (>1400 shares)

1. Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes (*)
2. Relax! Data Scientists will not go extinct in 10 years, but the role will change, by Gregory Piatetsky (*)
3. Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd (*)

Most Shared – Gold Badge (>700 shares)

4. Why and how should you learn “Productive Data Science”?, by Tirthajyoti Sarkar
5. Become an Analytics Engineer in 90 Days, by Tuan Nguyen
6. Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics, by Kevin Vu (*)
7. 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist, by Tessa Xie
8. GitHub Copilot: Your AI pair programmer – what is all the fuss about?, by Matthew Mayo

Most Shared – Silver Badge (>400 shares)

9. 11 Important Probability Distributions Explained, by Terence Shin
10. Geometric foundations of Deep Learning, by Michael Bronstein, Joan Bruna, Taco Cohen, and PV
11. A Learning Path To Becoming a Data Scientist, by Sara Metwalli
12. A Brief Introduction to the Concept of Data, by Angelica Lo Duca (*)
13. Top 6 Data Science Online Courses in 2021, by Natassha Selvaraj

(*) 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. Relax! Data Scientists will not go extinct in 10 years, but the role will change, by Gregory Piatetsky
2. The Brutal Truth About Data Science, by Prad Upadrashta
3. Streamlit Tips, Tricks, and Hacks for Data Scientists, by Kaveh Bakhtiyari
4. Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics, by Kevin Vu
5. 5 Mistakes I Wish I Had Avoided in My Data Science Career, by Tessa Xie