What is Data Science?
An introductory-to-intermediate pathway for learners who want to understand how data science combines programming, statistics and analytical thinking to answer practical questions.
What you'll learn
✓Data-science workflow and problem framing
✓Data preparation and exploratory analysis
✓Statistics and probability foundations
✓Introductory machine-learning concepts
✓Model evaluation and communicating results responsibly
What you'll be able to do
✓Prepare datasets for analysis
✓Explore relationships and patterns
✓Build and evaluate introductory models
✓Present findings with appropriate limitations
Suggested practical projects
Exploratory data analysis project
A practical project idea to turn learning into portfolio evidence.
Simple prediction model
A practical project idea to turn learning into portfolio evidence.
Data-science case study
A practical project idea to turn learning into portfolio evidence.