Statistics Fundamentals
Data Science & AI › Statistics & Math for ML

Statistics Fundamentals

A practical, project-based path to Statistics in Statistics & Math for ML

By Neha Bansal ★ 0.0 (0 ratings) Advanced 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

Want to get genuinely good at Statistics? 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. Neha Bansal guides you step by step through Statistics & Math for ML, focusing on the skills employers actually look for. Finish ready to put Statistics on your resume and use it with confidence.

Curriculum

Getting Started

  • Welcome and what you'll build video · 11:00 ▶ Free preview
  • Statistics in 10 minutes video · 12:00 ▶ Free preview
  • Your first Statistics 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
  • Statistics in 10 minutes video · 09:00
  • Your first Statistics 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