Data literacy & practical statistics | Sri AI

Course overview

Reading a chart, a survey or a model result without being fooled by it, using Sri Lankan census, exam and weather data.

Level: Beginner  ·  Mode: Evenings, hybrid

Who this course is for

Managers, teachers and analysts, and every student before the machine learning track.

What you will learn

• Summarise data honestly
• Spot a misleading chart or average
• Understand sampling and bias
• Explain a result to a non-technical audience

Syllabus

1. Module 1: Data types and tables
2. Module 2: Averages, spread and outliers
3. Module 3: Sampling and bias
4. Module 4: Correlation and causation
5. Module 5: Visualising for decisions

Final project

Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.

Before you start

None.