Statistics Crash Course
Data Science & AI › Statistics & Math for ML

Statistics Crash Course

Everything you need to use Statistics with confidence

By Megha Patel ★ 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

  • Understand the core concepts of Statistics and how they fit together
  • Build hands-on projects using Statistics that you can add to your portfolio
  • Apply Statistics to solve real, practical problems in Data Science & AI
  • Follow industry best practices and avoid common Statistics mistakes
  • Gain the confidence to use Statistics at work and in interviews

Skills you'll gain

Statistics Practical Projects Debugging Best Practices Problem Solving Statistics & Math for ML

About this course

Learn Statistics 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. Megha Patel keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use Statistics confidently at work and in interviews.

Curriculum

Getting Started

  • Welcome and what you'll build video · 07:00 ▶ Free preview
  • Statistics in 10 minutes video · 08:00 ▶ Free preview
  • Your first Statistics walkthrough video · 09:00
  • Hands-on exercise video · 10:00

Core Concepts

  • Common patterns in practice video · 14:00
  • Building the project — part 1 video · 15:00
  • Debugging and troubleshooting video · 16:00
  • Performance and optimisation video · 17:00
  • Testing your work video · 06:00

Hands-On Practice

  • Performance and optimisation video · 09:00
  • Testing your work video · 10:00
  • Welcome and what you'll build video · 11:00

Building Real Projects

  • Welcome and what you'll build video · 16:00
  • Statistics in 10 minutes video · 17:00
  • Your first Statistics walkthrough video · 06:00
  • Hands-on exercise video · 07:00

Going Deeper

  • 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