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Python for Data Science
Bestseller
Learn NumPy from Scratch
Master NumPy with hands-on projects and real-world examples
By Lakshmi Menon
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Advanced
English
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What you'll learn
- Understand the core concepts of NumPy and how they fit together
- Build hands-on projects using NumPy that you can add to your portfolio
- Apply NumPy to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common NumPy mistakes
- Gain the confidence to use NumPy at work and in interviews
Skills you'll gain
NumPy
Practical Projects
Debugging
Best Practices
Problem Solving
Python for Data Science
About this course
This course is a hands-on, project-driven introduction to NumPy, part of our Data Science & AI track. Designed for learners in India and beyond, every concept is taught with practical examples and exercises you can add to your portfolio. Taught by Lakshmi Menon, it starts from the fundamentals and builds toward real-world, job-ready skills in Python for Data Science. By the end you'll have the confidence to apply NumPy at work, in interviews, and on Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 08:00 ▶ Free preview
- NumPy in 10 minutes video · 09:00 ▶ Free preview
- Your first NumPy walkthrough video · 10:00
- Hands-on exercise video · 11:00
- Building the project — part 2 video · 12:00
Core Concepts
- Hands-on exercise video · 15:00
- Building the project — part 2 video · 16:00
- Best practices from industry video · 17:00
Hands-On Practice
- 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
Building Real Projects
- Welcome and what you'll build video · 17:00
- NumPy in 10 minutes video · 06:00
- Your first NumPy walkthrough video · 07:00
- Hands-on exercise video · 08:00
- Building the project — part 2 video · 09:00
Going Deeper
- Hands-on exercise video · 12:00
- Building the project — part 2 video · 13:00
- Best practices from industry video · 14:00
Best Practices
- Best practices from industry video · 07:00
- A real-world case study video · 08:00
- Recap and where to go next video · 09:00
- Setting up your environment video · 10:00