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Statistics & Math for ML
Bestseller
Master Optimisation in 2026
Learn Optimisation by building real things, step by step
By Swati Rao
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English
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What you'll learn
- Understand the core concepts of Optimisation and how they fit together
- Build hands-on projects using Optimisation that you can add to your portfolio
- Apply Optimisation to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Optimisation mistakes
- Gain the confidence to use Optimisation at work and in interviews
Skills you'll gain
Optimisation
Practical Projects
Debugging
Best Practices
Problem Solving
Statistics & Math for ML
About this course
Optimisation 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 Swati Rao, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply Optimisation to your own work and on job-relevant, Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 11:00 ▶ Free preview
- Optimisation in 10 minutes video · 12:00 ▶ Free preview
- Your first Optimisation walkthrough video · 13:00
- Hands-on exercise video · 14:00
- Building the project — part 2 video · 15:00
Core Concepts
- Hands-on exercise video · 06:00
- Building the project — part 2 video · 07:00
- Best practices from industry video · 08:00
Hands-On Practice
- Best practices from industry video · 13:00
- A real-world case study video · 14:00
- Recap and where to go next video · 15:00
- Setting up your environment video · 16:00
Building Real Projects
- Welcome and what you'll build video · 08:00
- Optimisation in 10 minutes video · 09:00
- Your first Optimisation walkthrough video · 10:00
- Hands-on exercise video · 11:00
- Building the project — part 2 video · 12:00
Going Deeper
- Hands-on exercise video · 15:00
- Building the project — part 2 video · 16:00
- Best practices from industry video · 17:00
Best Practices
- Best practices from industry video · 10:00
- A real-world case study video · 11:00
- Recap and where to go next video · 12:00
- Setting up your environment video · 13:00