Statistics for Data Science

Build the math behind data science. Master probability, distributions, hypothesis testing, and inference for confident analysis.

What you’ll learn

• Understand the core concepts and vocabulary of statistics for data science
• Apply practical, step-by-step methods used by professionals in data science & ai
• Complete hands-on exercises and a real-world project
• Avoid the most common mistakes beginners make
• Gain the confidence to use these skills in real situations

Who this course is for

Anyone looking to build practical, job-ready skills in data science & ai — from beginners to professionals wanting a structured refresher.

Course structure

This course is organised into 4 modules with 15 hands-on lessons — approximately 5 hours of guided learning. Each module ends with a practical exercise, and the course concludes with a real-world project you can add to your portfolio. The first lesson is free to preview.

Who this course is for

• Professionals building practical, job-ready skills in this field
• Career changers who want a structured, step-by-step learning path
• Business owners and teams upskilling for real projects

Requirements

Basic familiarity with the fundamentals of this field is recommended. You will need a computer with an internet connection; all tools used are free or have free tiers unless stated in the lessons.

Certification

Complete all lessons and the final project to earn the EMFAD Certificate of Completion in Statistics for Data Science — a shareable, verifiable certificate you can add to your CV and LinkedIn profile.