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Python for Data Science
Pandas Fundamentals
A practical, project-based path to Pandas in Python for Data Science
By Nisha Reddy
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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