AI for Data Science: free online course with certificate

AI for Data Science is a free online course from AITraining2U for people who work with data and want to use AI well. You learn by walking through short 3D scenarios with a guide character, watching animations that show how each method works, and answering a quiz at the end of each lesson.

The 23 core lessons take you from where data science pays off and framing a business question, through statistics, exploring and preparing data, regression, classification, clustering, decision trees and boosting, measuring a model, forecasting and A/B tests, to prompting AI for data work, writing Python and SQL with AI and checking it, data pipelines and quality checks, fairness and privacy, deploying a model and communicating results. 15 optional lessons go deeper, from anomaly detection and recommendations to neural networks, ending with a customer-churn capstone project.

Who this course is for

  • Analysts and finance, marketing or operations staff who work with spreadsheets and want to go further
  • Aspiring data scientists who want a practical, structured start
  • Developers and engineers who want to use AI to write and check data code
  • Managers who commission or review models and need to ask the right questions

What you will learn

โ‘  Start here

  • What Data Science Is

๐Ÿ“ Foundations

Framing the problem, statistics, exploring and preparing data.

  • Ask & Describe: Framing the Problem, The Statistics You Need
  • Explore & Prepare: Exploring Data with AI, Preparing Data
  • Go Deeper: How AI Learns (optional): How AI Learns from Examples, Understanding AI Models, Where AIโ€™s Knowledge Comes From

๐Ÿช Data Science in Action

Where data science pays off in business, industry and public life.

  • Use Cases: Where Data Science Pays Off, Use Cases across Industries

๐Ÿงฎ Machine Learning

Regression, classification, clustering, features, evaluation, forecasting and experiments.

  • Building Models: Regression, Classification and Clustering, Features, Splits and Leakage
  • Evaluate, Forecast & Test: Measuring a Model, Forecasting over Time, A/B Tests and Causation

๐ŸŒณ More Methods

Trees and ensembles, anomalies, baskets, fewer columns, cause and effect, and neural networks.

  • Trees & Ensembles: Decision Trees, Random Forests and Boosting
  • Go Deeper: More Methods (optional): Anomaly Detection, Recommendations and Basket Analysis, Simplifying Many Columns, Cause and Effect without an A/B Test, Neural Networks: When They Are Worth It

๐Ÿ’ป AI-Assisted Coding & LLMs

Python and SQL written with AI and checked by you; language models as data tools.

  • Code & Language Models: AI Writes the Code, You Check It, Language Models as Data Tools
  • Go Deeper: Spreadsheet Data Work (optional): AI and Numbers, Cleaning Data with AI, Analysing a Spreadsheet with AI, Building Dashboards with AI

๐Ÿ’ฌ Prompting for Data Science

Prompt patterns for data work and example prompts for every step, with hands-on workshops.

  • Prompting for Data Work: Prompting Patterns for Data Work, Example Prompts for Every Step

๐Ÿ” Data Pipelines

How data flows from source to dashboard, quality checks and contracts, warehouses and lakes.

  • Pipelines & Data Quality: How a Data Pipeline Works, Data Quality Checks and Contracts
  • Go Deeper: Warehouses & Lakes (optional): Warehouses, Lakes and Star Schemas

โš–๏ธ Responsible & Production

Fairness, privacy, deployment, monitoring and communicating results.

  • Fair & Private: Bias, Fairness and Explainability, Privacy in Data Science
  • Deploy & Communicate: From Notebook to Production, Communicating Results
  • Go Deeper: Data Protection (optional): Data Protection for AI

๐Ÿ Capstone

Optional: a customer-churn project from question to handover.

  • Capstone: Customer Churn (optional): Capstone: Customer Churn End to End

How the course works

  • 38 interactive 3D lessons with a guide character at every stop
  • 114 short "How it works" animations, and 13 hands-on workshops
  • A quiz at the end of each lesson; pass with 80% or more
  • A certificate when you pass all 23 core lessons
  • Free, self-paced, in your browser, in English and Bahasa Malaysia

Frequently asked questions

Is the AI for Data Science course free?
Yes. The whole course is free, with no account or payment. Your progress is saved in your browser; you only enter your name, for your certificate.
Do I get a certificate?
Yes: pass all 23 core lessons, each with at least 80% in its quiz, and print or save your certificate as a PDF.
Do I need to know how to code?
No. The course shows how AI can write Python and SQL for you and, more importantly, how to check what it wrote. Some comfort with spreadsheets helps.
Is the course available in Bahasa Malaysia?
Yes. Switch between English and Bahasa Malaysia at any time; 31 of the 38 lessons are fully translated, and the rest are in English.
What device do I need?
A modern web browser on a laptop, tablet or phone. Nothing to install.
Can my company train its staff with AITraining2U?
Yes. AITraining2U runs instructor-led AI and data courses for organisations across Malaysia, and they can be claimed under HRDC. See the course list or contact us.

Train your team

AITraining2U's instructor-led courses (HRDC claimable) train whole teams. Talk to us about a session for your organisation.

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