Free data and AI courses
37 data and AI topics, each with a step-by-step guide and a free personalized course.
Data skills pay off in almost every job. Start with spreadsheets and SQL, move into statistics and visualization, then on to machine learning, deep learning and the large language models behind tools like ChatGPT. Each guide explains the math you actually need and the tools to practice with, so you can go from cleaning a dataset to training a model.
Every data and AI course
- Learn Data Science: Turn data into insight - statistics, analysis, and the ideas behind ML.
- Learn Excel: Turn messy spreadsheets into clear, reliable answers.
- Learn Statistics: Read the numbers behind the headlines with confidence.
- Learn Artificial Intelligence: Understand how modern AI actually works, from the ground up.
- Learn Machine Learning: Go from the core ideas to training real models, one lesson at a time.
- Learn Prompt Engineering: Turn vague requests into reliable AI results with prompts that actually work.
- Learn Deep Learning: Understand neural networks from a single neuron up to transformers.
- Learn Data Analysis: Turn raw tables into clear answers people can act on.
- Learn Tableau: Build interactive charts and dashboards by dragging fields with purpose.
- Learn Power BI: From messy spreadsheets to a data model and report people trust.
- Learn pandas: Load, clean, reshape and summarize data in Python with confidence.
- Learn Data Visualization: Make charts that show the point at a glance and never mislead.
- Learn Natural Language Processing: Teach computers to read, classify and generate human language.
- Learn Computer Vision: Teach machines to see, from pixels and filters to object detection.
- Learn Google Sheets: Build spreadsheets that calculate, update and collaborate on their own.
- Learn Data Engineering: Build the pipelines that move, clean and organize data reliably.
- Learn Large Language Models: From tokens and attention to fine-tuning, retrieval and evaluation.
- Learn Generative AI: How models that write, draw and speak actually work, and how to use them well.
- Learn Reinforcement Learning: Agents, rewards and policies, from Q-tables to deep RL.
- Learn scikit-learn: Classic machine learning in Python, done the leak-free way.
- Learn PyTorch: Tensors, autograd and the training loop you write yourself.
- Learn TensorFlow: Build, train and ship neural networks with TensorFlow and Keras.
- Learn NumPy: Arrays, broadcasting and vectorized math, the base of Python data work.
- Learn Excel Formulas: From relative references to XLOOKUP, FILTER and LET.
- Learn Excel Pivot Tables: Summarize thousands of rows in a few drags, then slice them any way you like.
- Learn SQL for Data Analysis: Turn business questions into queries you can trust.
- Learn Looker Studio: Build shareable dashboards from Sheets, BigQuery and analytics data.
- Learn Data Mining: Find patterns in large datasets, and tell real ones from noise.
- Learn Apache Spark: Process data too big for one machine with DataFrames and Spark SQL.
- Learn MLOps: Take models from a notebook to production, and keep them working there.
- Learn AI Ethics: Bias, fairness, privacy and accountability in real AI systems.
- Learn ChatGPT: Get useful, checkable answers from ChatGPT instead of confident guesses.
- Learn Business Intelligence: From raw tables to trusted KPIs and dashboards people act on.
- Learn A/B Testing: Design experiments that give answers you can actually trust.
- Learn Bayesian Statistics: Update beliefs with data, and say exactly how uncertain you are.
- Learn Time Series Analysis: Model data that unfolds over time, and forecast it honestly.
- Learn Econometrics: Use regression to estimate cause and effect from real-world data.
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