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Python for Data Science
Master APIs for Data in 2026
Learn APIs for Data by building real things, step by step
By Deepak Joshi
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English
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What you'll learn
- Understand the core concepts of APIs for Data and how they fit together
- Build hands-on projects using APIs for Data that you can add to your portfolio
- Apply APIs for Data to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common APIs for Data mistakes
- Gain the confidence to use APIs for Data at work and in interviews
Skills you'll gain
APIs for Data
Practical Projects
Debugging
Best Practices
Problem Solving
Python for Data Science
About this course
Want to get genuinely good at APIs for Data? 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. Deepak Joshi guides you step by step through Python for Data Science, focusing on the skills employers actually look for. Finish ready to put APIs for Data on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 11:00 ▶ Free preview
- APIs for Data in 10 minutes video · 12:00 ▶ Free preview
- Your first APIs for Data walkthrough video · 13:00
- Hands-on exercise video · 14:00
- Building the project — part 2 video · 15:00
Core Concepts
- Hands-on exercise video · 06:00
- Building the project — part 2 video · 07:00
- Best practices from industry video · 08:00
Hands-On Practice
- Best practices from industry video · 13:00
- A real-world case study video · 14:00
- Recap and where to go next video · 15:00
- Setting up your environment video · 16:00
Building Real Projects
- Welcome and what you'll build video · 08:00
- APIs for Data in 10 minutes video · 09:00
- Your first APIs for Data walkthrough video · 10:00
- Hands-on exercise video · 11:00
- Building the project — part 2 video · 12:00
Going Deeper
- Hands-on exercise video · 15:00
- Building the project — part 2 video · 16:00
- Best practices from industry video · 17:00
Best Practices
- 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