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Statistics & Math for ML
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Hypothesis Testing for Freelancers
Go from fundamentals to job-ready Hypothesis Testing skills
By Manoj Nair
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Basic
English
0 learners
What you'll learn
- Understand the core concepts of Hypothesis Testing and how they fit together
- Build hands-on projects using Hypothesis Testing that you can add to your portfolio
- Apply Hypothesis Testing to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Hypothesis Testing mistakes
- Gain the confidence to use Hypothesis Testing at work and in interviews
Skills you'll gain
Hypothesis Testing
Practical Projects
Debugging
Best Practices
Problem Solving
Statistics & Math for ML
About this course
Learn Hypothesis Testing 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. Manoj Nair keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use Hypothesis Testing confidently at work and in interviews.
Curriculum
Getting Started
- Welcome and what you'll build video · 12:00 ▶ Free preview
- Hypothesis Testing in 10 minutes video · 13:00 ▶ Free preview
- Your first Hypothesis Testing walkthrough video · 14:00
Core Concepts
- Your first Hypothesis Testing walkthrough video · 07:00
- Hands-on exercise video · 08:00
- Building the project — part 2 video · 09:00
- Best practices from industry video · 10:00
Hands-On Practice
- Debugging and troubleshooting video · 14:00
- Performance and optimisation video · 15:00
- Testing your work video · 16:00
- Welcome and what you'll build video · 17:00
- Hypothesis Testing in 10 minutes video · 06:00
Building Real Projects
- Welcome and what you'll build video · 09:00
- Hypothesis Testing in 10 minutes video · 10:00
- Your first Hypothesis Testing walkthrough video · 11:00