| Introduction to Statistical Learning |
Analytics vs. Statistics by Cassie Kozyrkov
Data Science’s Most Misunderstood Hero by Cassie Kozyrkov
An Introduction to Statistical Learning by James et al |
| Exploratory Data Analysis (EDA) |
Ten Simple Rules for Effective Statistical Practice by Kass et al |
| Machine Learning Fundamentals |
Deep Learning with Python by Francois Chollet
AI for Oceans by Code.org
Machine Learning for Kids by Code.org |
| Neural Networks and Deep Learning |
The Deep Learning Specialization–DeepLearning.AI
Dive into Deep Learning |
| Reinforcement Learning |
StanFord - CS234: Reinforcement Learning |
| Large Language Models |
StandFord - CS336: Language Modeling from Scratch |
| Data Science Task Classification |
A Second Chance to Get Causal Inference Right: A Classification of Data Science Tasks by Hernan et al |
| Data Science Career Development |
The Hiring Gambit: In Search of the Twofer Data Scientist by Radu Craiu |
| Data Science Projects Practice |
DataCamp for Classrooms
Kaggle Learn |