Artificial Intelligence: Foundations
The standard introduction to AI as the design of intelligent agents: search, reasoning, planning, learning and uncertainty.
Artificial intelligence · from an open web textbook
Start studying freeHome / AI and data science
Study AI and data science, step by step
Python and statistics first, then data science, machine learning, deep learning and responsible AI. Every course is free, and each pack is built from an openly licensed textbook.
The AI and data science pathway (29 courses)
Core courses that help come first, then the major courses.
Data Science: Wrangling and Visualization
Data wrangling, visualization and probability with R, the base skills of every data-science pathway.
Data science · from an open web textbook
Start studying freeData Science: A First Introduction
Reading, wrangling and visualizing data, then classification, regression and clustering.
Data science · from an open web textbook
Start studying freeStatistical Inference with Data Science
Regression, sampling, confidence intervals and hypothesis tests using R and the tidyverse.
Data science · from an open web textbook
Start studying freeScientific Python for Data and AI
NumPy, SciPy, Matplotlib and the scientific Python ecosystem that data science and machine learning build on.
Data science · from an open web textbook
Start studying freeData Analysis with Python and pandas
Cleaning, reshaping and visualizing real datasets with pandas.
Data science · from an open web textbook
Start studying freeNeural Networks: First Principles
A short, readable introduction to how neural networks learn, from perceptrons to backpropagation.
Artificial intelligence · from an open web textbook
Start studying freeIntroduction to Computer Science
Computational thinking and the foundations of computing: the usual first CS course.
Computer science · from OpenStax
Start studying freeProgramming with Python (Think Python)
A gentle, widely used first programming book: variables, functions, loops, data structures and objects.
Computer science · from an open web textbook
Start studying freeBusiness Analytics and Financial Modeling in Excel
Optimization, simulation and analytics with Excel: the practical modelling skills finance employers ask for.
Finance · from Pressbooks
Start studying freePrecalculus
Near 45 percent DFW at some campuses; the bridge into calculus.
Mathematics · from OpenStax
Start studying freeIntroductory Statistics
Around 40 percent DFW at some institutions; required by most majors.
Statistics · from OpenStax
Start studying freeIntroduction to Programming (Python)
Introductory programming commonly sees 25 to 35 percent non-success; a gateway to computing majors.
Computer science · from OpenStax
Start studying freeAlgebra and Trigonometry
Combined algebra and trigonometry course that gates calculus for many STEM majors.
Mathematics · from OpenStax
Start studying freeDeep Learning
Neural networks from the ground up: MLPs, CNNs, RNNs, attention and transformers, with applications in vision and language.
Artificial intelligence · from an open web textbook
Start studying freeMachine Learning Systems and MLOps
How machine learning is engineered in practice: data pipelines, training, deployment, monitoring and responsible AI.
Artificial intelligence · from an open web textbook
Start studying freeInterpretable Machine Learning and Responsible AI
How to explain model predictions and judge whether a model can be trusted: a core responsible-AI skill.
Artificial intelligence · from an open web textbook
Start studying freeModeling and Machine Learning Workflows
Building, tuning and comparing predictive models: resampling, workflows, ensembles.
Artificial intelligence · from an open web textbook
Start studying freeBayesian Statistics
Reasoning under uncertainty with Bayes' theorem, worked in Python.
Data science · from an open web textbook
Start studying freeText Mining and NLP Basics
Turning text into data: tokens, sentiment, topics and word importance.
Artificial intelligence · from an open web textbook
Start studying freeMachine Learning for Text
Tokenization, embeddings and classical and deep models for text classification.
Artificial intelligence · from an open web textbook
Start studying freeDiscrete Mathematics
Logic, proofs, counting, graphs and relations: proof writing is new to most students.
Computer science · from an open web textbook
Start studying freeMathematics for Computer Science
Proof-heavy discrete maths from MIT: induction, graphs, number theory, probability.
Computer science · from LibreTexts
Start studying freeProbability for Computer Science
Probability spaces, random variables, expectation and distributions.
Computer science · from LibreTexts
Start studying freeCalculus I
Reported DFW rates of roughly 30 to 50 percent at several institutions; the most common first stop for STEM students who leave.
Mathematics · from OpenStax
Start studying freeCalculus II
Often 40 percent or higher DFW; where many engineering students stall.
Mathematics · from OpenStax
Start studying freeCalculus III (Multivariable)
Vector calculus and 3D visualization make multivariable topics a common stumbling block.
Mathematics · from OpenStax
Start studying freeLinear Algebra
Abstract vector-space reasoning is many students' first proof-flavored math course.
Mathematics · from LibreTexts
Start studying freeDifferential Equations
Many solution techniques to choose among; high DFW in engineering math.
Mathematics · from LibreTexts
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