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Statistics & Math for ML
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Experiment Design for Professionals
A practical, project-based path to Experiment Design in Statistics & Math for ML
By Suresh Iyer
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Intermediate
English
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What you'll learn
- Understand the core concepts of Experiment Design and how they fit together
- Build hands-on projects using Experiment Design that you can add to your portfolio
- Apply Experiment Design to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Experiment Design mistakes
- Gain the confidence to use Experiment Design at work and in interviews
Skills you'll gain
Experiment Design
Practical Projects
Debugging
Best Practices
Problem Solving
Statistics & Math for ML
About this course
Learn Experiment Design the practical way. This Data Science & AI course focuses on doing: you'll work through real examples in Statistics & Math for ML, understand the why behind each technique, and finish with projects for your portfolio. Suresh Iyer keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use Experiment Design confidently at work and in interviews.
Curriculum
Getting Started
- Welcome and what you'll build video · 16:00 ▶ Free preview
- Experiment Design in 10 minutes video · 17:00 ▶ Free preview
- Your first Experiment Design walkthrough video · 06:00
- Hands-on exercise video · 07:00
Core Concepts
- Common patterns in practice video · 11:00
- Building the project — part 1 video · 12:00
- Debugging and troubleshooting video · 13:00
- Performance and optimisation video · 14:00
- Testing your work video · 15:00
Hands-On Practice
- Performance and optimisation video · 06:00
- Testing your work video · 07:00
- Welcome and what you'll build video · 08:00
Building Real Projects
- Welcome and what you'll build video · 13:00
- Experiment Design in 10 minutes video · 14:00
- Your first Experiment Design walkthrough video · 15:00
- Hands-on exercise video · 16:00
Going Deeper
- 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