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Course Description
You learn PySpark in a way that prepares you for real work in Microsoft Fabric. You understand how data flows, how transformations work, and how to build code that runs clean and fast. You get a clear pathfrom zero to projects that show real skill.
You work with hands-on tasks each week. You write code, read logs, fix issues, and build confidence. You finish with a strong base that helps you move toward internships, entry roles, and deeper learning.
What You Will Build
You work with hands-on tasks each week. You write code, read logs, fix issues, and build confidence. You finish with a strong base that helps you move toward internships, entry roles, and deeper learning.
- Next Steps in Learning: Use your new skills to learn advanced topics like Spark Streaming for real-time data or MLlib for machine learning
- Career Goals: You will be prepared for roles like Data Engineer, Analytics Engineer, and BI Developer
- Portfolio: Add your capstone project to your resume to show your new skills to employers
Who can apply?
Below are pre-requisites for the course
- A stable, high-speed internet connection
- Windows Machine with minimum 8GB RAM
- Dual Monitor Setup (Good to have not compulsory)
- Basic knowledge of either SQL or Python (any one is sufficient)
- An analytical mindset for solving business problems with data
- Availability to attend live classes on Saturday and Sunday from 9:00 AM to 11:00 AM IST
Our Teaching Philosophy
We believe the best way to learn PySpark is by starting with the ‘why’ the theory and then immediately applying it. Our bootcamp is designed for fast-paced learners, guiding you from basic concepts to building real-world projects in just four weeks
Foundations
PySpark gives you a solid base to understand how large data workloads run inside Microsoft Fabric. It teaches you how distributed processing works, why clusters matter, and how Fabric handles data at scale. You learn the core ideas that every data engineer should know before moving into advanced pipelines
Easy Start
PySpark is simple to begin with because the syntax feels familiar and the learning curve is gentle. You write clear code, test ideas fast, and build confidence before moving complex transformations. It helps you get comfortable with Fabric notebooks and data flows without feeling overwhelmed.
Curriculum
- 2 Sections
- 9 Lessons
- 6 Weeks
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Lessons: