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Python for Data Science
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Data Wrangling Masterclass
Master Data Wrangling with hands-on projects and real-world examples
By Tara Krishnan
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Basic
English
0 learners
What you'll learn
- Understand the core concepts of Data Wrangling and how they fit together
- Build hands-on projects using Data Wrangling that you can add to your portfolio
- Apply Data Wrangling to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Data Wrangling mistakes
- Gain the confidence to use Data Wrangling at work and in interviews
Skills you'll gain
Data Wrangling
Practical Projects
Debugging
Best Practices
Problem Solving
Python for Data Science
About this course
Want to get genuinely good at Data Wrangling? 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. Tara Krishnan guides you step by step through Python for Data Science, focusing on the skills employers actually look for. Finish ready to put Data Wrangling on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 06:00 ▶ Free preview
- Data Wrangling in 10 minutes video · 07:00 ▶ Free preview
- Your first Data Wrangling walkthrough video · 08:00
Core Concepts
- Your first Data Wrangling walkthrough video · 13:00
- Hands-on exercise video · 14:00
- Building the project — part 2 video · 15:00
- Best practices from industry video · 16:00
Hands-On Practice
- Debugging and troubleshooting video · 08:00
- Performance and optimisation video · 09:00
- Testing your work video · 10:00
- Welcome and what you'll build video · 11:00
- Data Wrangling in 10 minutes video · 12:00
Building Real Projects
- Welcome and what you'll build video · 15:00
- Data Wrangling in 10 minutes video · 16:00
- Your first Data Wrangling walkthrough video · 17:00