If you want a deep, complete reference
Modern Statistics: Intuition, Math, Python, R
Statistics with intuition, math, and code side by side, with lots of exercises and accompanying video solutions.
Statistics & data
Statistics and machine learning, intuition first.
Statistics is how you decide what your data are actually telling you. These resources go from the vocabulary of data literacy all the way to machine learning, always with the intuition, the math, and the code side by side.
Choose your starting point
Different ways into the same material. Any one of them is a complete start.
If you learn best from video
Statistics and machine learning
A rigorous deep dive into statistics and machine learning, with every concept implemented in Python and MATLAB.
If you need the concepts without math or code
Basic statistics and data literacy
Statistics lingo and concepts, with no math or code.
Everything on statistics & data
Courses, books, code, and free material in one list.
Modern Statistics: Intuition, Math, Python, R
Statistics with intuition, math, and code side by side, with lots of exercises and accompanying video solutions.
Modern Statistics audiobook
The audiobook version of Modern Statistics, free to stream.
Statistics exercise solutions on video
Video explanations of the exercises in Modern Statistics.
Statistics and machine learning
A rigorous deep dive into statistics and machine learning, with every concept implemented in Python and MATLAB.
Improving data quality in data analytics
Learn why, when, and how to maximize the quality of your data to optimize data-based decisions.
Basic statistics and data literacy
Statistics lingo and concepts, with no math or code.
Generative AI for data analytics
Use ChatGPT to code, learn about, apply, and communicate data science.
All the statistics & data code
Companion code for the courses and books on this page, ready to run and modify.
Nothing in this format yet.
Where statistics & data fits
← Comes before
Scientific coding
Python and MATLAB the way scientists actually use them.
Leads to →
Signal processing & neural time series
Filtering, Fourier, and multivariate methods for real time series.
Leads to →
Deep learning & LLMs
Build, train, and dissect neural networks and language models.