Free tutorials and live classes in Python, statistics, machine learning and Generative AI. Run the code yourself, see what it does, then build something useful with it.
No prior coding experience needed to begin.
Click anywhere on the chart to add a data point. The least-squares line and R² update instantly, which is exactly what LinearRegression().fit() computes.
Data Is Easy is an education platform founded by AI and data science consultant Akhil Jain. It covers Python, Generative AI, machine learning and statistics, and teaches them the way they are used on the job, with proper datasets and the same tools working teams rely on.
You can read the free tutorials at your own pace, join the free two-hour live workshop, or go further in a live cohort course where you build ten Generative AI applications.
Explore topics
Write clear, working Python from your first variable to functions, collections and data analysis with pandas.
Understand how large language models work and build working applications with prompts, open-source models and RAG.
Train, test and evaluate models that learn patterns from data, using scikit-learn.
Describe data with the right numbers: averages, spread, percentiles and outliers, calculated in Python.
A live, project-based programme that takes you from Python foundations to building, deploying and fine-tuning your own Generative AI applications.
Short lessons with code you can copy, run and tweak. Each one ends with a small exercise so you can check what stuck.
Follow the stages in order, or jump in where your skills already are.
Python foundations, data handling and core statistics.
Analyse data, train models and build retrieval-based AI.
Covered live in the cohort course.
Why Data Is Easy
Watching someone else write code only gets you so far. Every lesson here gives you something to run, change and occasionally break, so each idea has something to hold on to.
Each idea is introduced with a short example you can run. You see the output before the explanation, so the concept has something concrete to attach to.
The workshop and course are taught live online, so you can ask the instructor questions in real time instead of waiting on a forum.
The course starts with Python itself before LangChain, Hugging Face and RAG, so beginners are not lost when the tools get more advanced.
The cohort course covers ten applications, from a document chatbot with memory to a text-to-music generator, plus a certificate of completion.
Akhil Jain, founder of Data Is Easy. AI and data science consultant and educator.“Having worked in data science, AI and programming, I know how important it is to keep up in these fast-moving fields. Data Is Easy focuses on real-world, hands-on learning, so you can take the next step in your career with confidence.”
A six-stage learning path for Generative AI: Python, data skills, machine learning basics, LLMs and prompting, RAG and frameworks, then agents and fine-tuning.
A plain-language guide to the difference between AI, machine learning, deep learning and Generative AI, with a diagram and a worked example.
The free live workshop covers how Generative AI works, prompt engineering and building a first app with LangChain. Beginners are welcome.
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