Pandas Fundamentals
Data Science & AI Python for Data Science

Pandas Fundamentals

A practical, project-based path to Pandas in Python for Data Science

By Nisha Reddy 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

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

Skills you'll gain

Pandas Practical Projects Debugging Best Practices Problem Solving Python for Data Science

About this course

This course is a hands-on, project-driven introduction to Pandas, 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 Nisha Reddy, 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 Pandas at work, in interviews, and on Hyrespot-matched roles.

Curriculum

Getting Started

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

Core Concepts

  • 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

Hands-On Practice

  • Performance and optimisation video · 06:00
  • Testing your work video · 07:00
  • Welcome and what you'll build video · 08:00

Building Real Projects

  • Welcome and what you'll build video · 13:00
  • Pandas in 10 minutes video · 14:00
  • Your first Pandas walkthrough video · 15:00
  • Hands-on exercise video · 16:00

Going Deeper

  • Common patterns in practice video · 08:00
  • Building the project — part 1 video · 09:00
  • Debugging and troubleshooting video · 10:00
  • Performance and optimisation video · 11:00
  • Testing your work video · 12:00