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Statistics & Math for ML
Hyrespot Match
Master Bayesian Methods in 2026
A practical, project-based path to Bayesian Methods in Statistics & Math for ML
By Ayesha Khan
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Basic
English
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What you'll learn
- Understand the core concepts of Bayesian Methods and how they fit together
- Build hands-on projects using Bayesian Methods that you can add to your portfolio
- Apply Bayesian Methods to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Bayesian Methods mistakes
- Gain the confidence to use Bayesian Methods at work and in interviews
Skills you'll gain
Bayesian Methods
Practical Projects
Debugging
Best Practices
Problem Solving
Statistics & Math for ML
About this course
Bayesian Methods is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in Statistics & Math for ML, you'll build real understanding rather than memorising steps. Created by Ayesha Khan, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply Bayesian Methods to your own work and on job-relevant, Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 09:00 ▶ Free preview
- Bayesian Methods in 10 minutes video · 10:00 ▶ Free preview
- Your first Bayesian Methods walkthrough video · 11:00
Core Concepts
- Your first Bayesian Methods walkthrough video · 16:00
- Hands-on exercise video · 17:00
- Building the project — part 2 video · 06:00
- Best practices from industry video · 07:00
Hands-On Practice
- Debugging and troubleshooting video · 11:00
- Performance and optimisation video · 12:00
- Testing your work video · 13:00
- Welcome and what you'll build video · 14:00
- Bayesian Methods in 10 minutes video · 15:00
Building Real Projects
- Welcome and what you'll build video · 06:00
- Bayesian Methods in 10 minutes video · 07:00
- Your first Bayesian Methods walkthrough video · 08:00