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Statistics & Math for ML
Probability Fundamentals
Go from fundamentals to job-ready Probability skills
By Tara Krishnan
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Advanced
English
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What you'll learn
- Understand the core concepts of Probability and how they fit together
- Build hands-on projects using Probability that you can add to your portfolio
- Apply Probability to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Probability mistakes
- Gain the confidence to use Probability at work and in interviews
Skills you'll gain
Probability
Practical Projects
Debugging
Best Practices
Problem Solving
Statistics & Math for ML
About this course
Want to get genuinely good at Probability? 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. Tara Krishnan guides you step by step through Statistics & Math for ML, focusing on the skills employers actually look for. Finish ready to put Probability on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 17:00 ▶ Free preview
- Probability in 10 minutes video · 06:00 ▶ Free preview
- Your first Probability walkthrough video · 07:00
- Hands-on exercise video · 08:00
- Building the project — part 2 video · 09:00
Core Concepts
- Hands-on exercise video · 12:00
- Building the project — part 2 video · 13:00
- Best practices from industry video · 14:00
Hands-On Practice
- Best practices from industry video · 07:00
- A real-world case study video · 08:00
- Recap and where to go next video · 09:00
- Setting up your environment video · 10:00
Building Real Projects
- Welcome and what you'll build video · 14:00
- Probability in 10 minutes video · 15:00
- Your first Probability walkthrough video · 16:00
- Hands-on exercise video · 17:00
- Building the project — part 2 video · 06:00
Going Deeper
- Hands-on exercise video · 09:00
- Building the project — part 2 video · 10:00
- Best practices from industry video · 11:00
Best Practices
- Best practices from industry video · 16:00
- A real-world case study video · 17:00
- Recap and where to go next video · 06:00
- Setting up your environment video · 07:00