Top Stories, Mar 1-7: Top YouTube Channels for Data Science

Most Popular Last Week

1. Top YouTube Channels for Data Science, by Matthew Mayo
2. Are You Still Using Pandas to Process Big Data in 2021? Here are two better options, by Roman Orac
3. 3 Mathematical Laws Data Scientists Need To Know, by Cornellius Yudha Wijaya
4. Google’s Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks, by Jesus Rodriguez
5. Machine Learning Systems Design: A Free Stanford Course, by Matthew Mayo

Most Shared Last Week

1. Top YouTube Channels for Data Science, by Matthew Mayo
2. 3 Mathematical Laws Data Scientists Need To Know, by Cornellius Yudha Wijaya
3. Are You Still Using Pandas to Process Big Data in 2021? Here are two better options, by Roman Orac
4. Google’s Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks, by Jesus Rodriguez
5. 11 Essential Code Blocks for Complete EDA (Exploratory Data Analysis), by Susan Maina

Most Popular Tweets Last Week

1. #DataScientist, Once The Sexiest Job of the 21st Century Isn’t “Sexy” Anymore
2. Mathematics is foundational to data science, and you should understand these three laws.
3. The Portfolio Guide for #DataScience Beginners
4. “We Don’t Need #DataScientists, We Need #DataEngineers ” great #reddit thread
5. The Coolest #DataScience Library I Found in 2021

Most Popular Past 30 Days

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. Telling a Great Data Story: A Visualization Decision Tree, by Stan Pugsley
4. Top YouTube Channels for Data Science, by Matthew Mayo
5. Are You Still Using Pandas to Process Big Data in 2021? Here are two better options, by Roman Orac

Most Shared Past 30 Days

1. We Don’t Need Data Scientists, We Need Data Engineers, by Mihail Eric
2. Data Science vs Business Intelligence, Explained, by Stan Pugsley
3. Telling a Great Data Story: A Visualization Decision Tree, by Stan Pugsley
4. Top YouTube Channels for Data Science, by Matthew Mayo
5. Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall, by Ahmed Gad