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Course Description
The Business Essence: More Than Just Code We believe a great Data Engineer is a translator who can turn raw data into strategic insights. This course is built on that philosophy. You won’t just learn how to build pipelines; you’l learn why. You’l solve chalenges for different departments, understand their unique problems, and deliver solutions that empower them to make smarter, data-driven decisions.
What’s Next for You?
Imagine your career in next few months. This course is your launchpad to a new future. After completing this program, you will have a powerful portfolio featuring projects across industries like Retail, Finance, and Healthcare. You will have mastered the entire data engineering lifecycle: building ingestion pipelines with Data Factory, transforming data with Spark, and delivering secure BI solutions with Power BI and Row-Level Security. What’s next for you?
- Data Analyst
- Business Intelligence Analyst
- Data Engineer
- Analytics Engineer
- Fabric Engineer
- ETL Developer
- PySpark Developer
- Senior Data Engineer
- Lead Data Engineer
Who can apply?
Below are pre-requisites for the course
- Basic SQL or Python Knowledge (any one is sufficient)
- Windows Machine with minimum 8GB RAM & Internet Connection
- An analytical mindset for solving business problems with data
- A stable, high-speed internet connection
- Dual Monitor Setup (Good to have not compulsory
- Ability to commit to the daily session schedule outlined in the course.
From Data to Decisions
The Business Essence: More Than Just Code We believe a great Data Engineer is a translator who can turn raw data into strategic insights. This course is built on that philosophy. You won’t just learn how to build pipelines; you’l learn why. You’l solve chalenges for different departments, understand their unique problems, and deliver solutions that empower them to make smarter, data-driven decisions.
Sectors
Step into the shoes of a data engineer solving real world problems across today’s most dynamic industries. Each week brings a new project, from building data platforms for fast-paced Retail and Finance firms to optimizing operations in Healthcare and Logistics. You'll also tackle complex data from Media and Manufacturing sectors
Functional Areas
Go beyond the code and learn to speak the language of business. You’ll solve critical problems for a wide range of departments, including Sales Operations, Analytics Engineering, Supply Chain Analytics, and Financial Reporting. Master the skills to support User Engagement Analysis and IT Governance teams, delivering solutions that drive real impact.
Hands-On
This course is built for action. Each topic starts with a theory session to introduce a real-world mini-case study, framing a business problem. The very next day, you’ll dive into a fast-paced lab to build the solution. Every week culminates in a comprehensive weekend assignment, turning your knowledge into a portfolio of real, completed projects.
Curriculum
- 2 Sections
- 9 Lessons
- 40 Hours
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- Microsoft Azure Course Content8
- 1.1Week 1: Building the Foundation: Automated Data Ingestion
- 1.2Week 2: From Raw Data to Rich Insights: The Art of Transformation
- 1.3Week 3: Your First End-to-End Build: From Ingestion to Analytics
- 1.4Week 4: The Data Complexity Challenge: APIs & Complex JSON
- 1.5Week 5: The Hybrid Data Challenge: Connecting On-Premise to BI
- 1.6Week 6: The Enterprise Challenge: Security, Governance & Automation
- 1.7Week 7: PySpark & SQL (Bonus Content)
- 1.8Week 8: Power BI & Co-Pilot (Bonus Content)
- Download Course PDF1
Lessons: