Top January Stories: How to land a Data Scientist job at your dream company; I wanna be a data scientist, but … how?

Also: The Book to Start You on Machine Learning; Top 5 must-have Data Science skills for 2020.



Here are the most popular KDnuggets posts in January.

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

  1. How to land a Data Scientist job at your dream company, by Kelly Peng
  2. The Book to Start You on Machine Learning, by Jaime Zornoza (*)
  3. I wanna be a data scientist, but ... how?, by Jaime Duran
  4. Top 5 must-have Data Science skills for 2020, by Joos Korstanje
  5. Math for Programmers!, by Manning Publications


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

  1. 10 Python Tips and Tricks You Should Learn Today, by Abhinav Sagar (*)
  2. Decision Tree Algorithm, Explained, by Nagesh Singh Chauhan
  3. 7 Resources to Becoming a Data Engineer, by Asel Mendis
  4. Learning SQL the Hard Way, by Rahul Agrawal (*)
  5. Top 10 Technology Trends for 2020, by Baidu Research
  6. An Introductory Guide to NLP for Data Scientists with 7 Common Techniques, by George Seif (*)
  7. Top 10 AI, Machine Learning Research Articles to know, by Matthew Dearing (*)







Silver BlogMost Shared - Silver Badge (>300 shares)

  1. I wanna be a data scientist, but ... how?, by Jaime Duran
  2. The Book to Start You on Machine Learning, by Jaime Zornoza
  3. How to Optimize Your Jupyter Notebook Pier, by Paolo Ippolito
  4. Top 5 must-have Data Science skills for 2020, by Joos Korstanje
  5. 7 Resources to Becoming a Data Engineer, by Asel Mendis
  6. Top 10 AI, Machine Learning Research Articles to know, by Matthew Dearing
  7. Automated Machine Learning: How do teams work together on an AutoML project?, by Francesca Lazzeri
  8. How to land a Data Scientist job at your dream company, by Kelly Peng


(*) 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 to Optimize Your Jupyter Notebook, by Pier Paolo Ippolito
  2. 10 Python String Processing Tips & Tricks, by Matthew Mayo
  3. Automated Machine Learning: How do teams work together on an AutoML project?, by Francesca Lazzeri
  4. Why Python is One of the Most Preferred Languages for Data Science?, by Poli Dey Bhavsar
  5. Top 9 Mobile Apps for Learning and Practicing Data Science, by Andrea Laura
  6. Predict Electricity Consumption Using Time Series Analysis, by Nagesh SinghChauhan