Modern Pandas: Real-World Skills
Data Science & AI › Python for Data Science

Modern Pandas: Real-World Skills

Master Pandas with hands-on projects and real-world examples

By Manoj Nair ★ 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

Learn Pandas the practical way. This Data Science & AI course focuses on doing: you'll work through real examples in Python for Data Science, understand the why behind each technique, and finish with projects for your portfolio. Manoj Nair keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use Pandas confidently at work and in interviews.

Curriculum

Getting Started

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

Core Concepts

  • 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

Hands-On Practice

  • Performance and optimisation video · 15:00
  • Testing your work video · 16:00
  • Welcome and what you'll build video · 17:00

Building Real Projects

  • Welcome and what you'll build video · 10:00
  • Pandas in 10 minutes video · 11:00
  • Your first Pandas walkthrough video · 12:00
  • Hands-on exercise video · 13:00

Going Deeper

  • Common patterns in practice video · 17:00
  • Building the project — part 1 video · 06:00
  • Debugging and troubleshooting video · 07:00
  • Performance and optimisation video · 08:00
  • Testing your work video · 09:00