Top Stories, Jun 10 – 16: Best resources for developers transitioning into data science; 5 Useful Statistics Data Scientists Need to Know

Most Popular Last Week

1. If you're a developer transitioning into data science, here are your best resources , by Cecelia Shao
2. 5 Useful Statistics Data Scientists Need to Know, by George Seif
3. The Infinity Stones of Data Science
4. What you need to know: The Modern Open-Source Data Science/Machine Learning Ecosystem
5. Scalable Python Code with Pandas UDFs: A Data Science Application
6. Become a Pro at Pandas, Pythons Data Manipulation Library
7. Top 10 Statistics Mistakes Made by Data Scientists

Most Shared Last Week

1. 5 Useful Statistics Data Scientists Need to Know, by George Seif - Jun 14, 2019.
2. What you need to know: The Modern Open-Source Data Science/Machine Learning Ecosystem, by Gregory Piatetsky - Jun 10, 2019.
3. How to Learn Python for Data Science the Right Way - Jun 14, 2019.
4. If you're a developer transitioning into data science, here are your best resources - Jun 11, 2019.
5. 3 Main Approaches to Machine Learning Models - Jun 11, 2019.
6. The Infinity Stones of Data Science - Jun 10, 2019.
7. Become a Pro at Pandas, Pythons Data Manipulation Library - Jun 13, 2019.

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1. A Step-by-Step Guide to Transitioning your Career to Data Science — Part 1
2. 7 Steps to Mastering SQL for Data Science — 2019 Edition
3. 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition
4. If you're a developer transitioning into data science, here are your best resources
5. 9 Must-have skills you need to become a Data Scientist, updated
6. How to choose a visualization
7. The 3 Biggest Mistakes on Learning Data Science

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1. Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis - May 30, 2019.
2. A Step-by-Step Guide to Transitioning your Career to Data Science — Part 1 - May 31, 2019.
3. 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition - Jun 03, 2019.
4. Jupyter Notebooks: Data Science Reporting - Jun 06, 2019.
5. Random Forests vs Neural Networks: Which is Better, and When? - Jun 07, 2019.
6. Top 10 Statistics Mistakes Made by Data Scientists - Jun 07, 2019.
7. The Data Fabric for Machine Learning – Part 1 - May 21, 2019.