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Statistics & Math for ML
Learn Bayesian Methods from Scratch
Learn Bayesian Methods by building real things, step by step
By Shreya Ghosh
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Intermediate
English
0 learners
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
Want to get genuinely good at Bayesian Methods? This practical course in our Data Science & AI track takes you from the essentials to applied, real-world skills. You'll learn by building — not just watching — with downloadable resources and exercises throughout. Shreya Ghosh guides you step by step through Statistics & Math for ML, focusing on the skills employers actually look for. Finish ready to put Bayesian Methods on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 13:00 ▶ Free preview
- Bayesian Methods in 10 minutes video · 14:00 ▶ Free preview
- Your first Bayesian Methods walkthrough video · 15:00
- Hands-on exercise video · 16:00
Core Concepts
- Common patterns in practice video · 08:00
- Building the project — part 1 video · 09:00
- Debugging and troubleshooting video · 10:00
- Performance and optimisation video · 11:00
- Testing your work video · 12:00
Hands-On Practice
- Performance and optimisation video · 15:00
- Testing your work video · 16:00
- Welcome and what you'll build video · 17:00
Building Real Projects
- Welcome and what you'll build video · 10:00
- Bayesian Methods in 10 minutes video · 11:00
- Your first Bayesian Methods walkthrough video · 12:00
- Hands-on exercise video · 13:00
Going Deeper
- Common patterns in practice video · 17:00
- Building the project — part 1 video · 06:00
- Debugging and troubleshooting video · 07:00
- Performance and optimisation video · 08:00
- Testing your work video · 09:00