ENROLL NOW FOR FALL 2026 • ADVANCED DATA ANALYTICS PROGRAM • TRANSFORM YOUR CAREER •
Comprehensive Curriculum
Module 1: Advance Excel
- Data Cleaning.
- Advanced filter.
- Pivot tables and Pivot chart.
- Creating and customizing chart.
- Process automation with macros and VBA.
- Impactful visuals.
Module 2: SQL & Databases
- Master complex queries, join operations, and database architecture to manage and manipulate larg-scale datasets efficiently using industry SQL standards.
Module 3: Power BI - Data Visualization & Storytelling
- Learn to design clear, compelling charts and dashboards that drive decisions through expert data storytelling techniques.
- Advanced filtering.
- Optimizing query performance.
- DAX calculation (Measures, calculated column, Time intelligence).
- Creating Dashboard.
- Optimizing Model Performance.
Module 4: Python for Data Science
- Learn Python programming with a focus on data analysis libraries like Pandas and NumPy for predictive modeling and automated reporting.
- Python Fundamentals: Data structures, functions and statements.
- Introduction to pandas (Series and DataFrames), Accessing elements, Dataframes from NumPy/CSV.
- Visualization: Plotting with Matplotlib and Seaborn for visualization and storytelling.
Module 5: ETL Data warehouse concept and Cloud
- Modern Data Architecture.
- ETL vs ELT in Cloud.
- Databricks Fundamentals.
- Snowflake Fundamentals.
- Data Processing & Pipelines.
- Hands-on Cloud Project.
Module 6: Microsoft Fabric
- Introduction to Microsoft Fabric.
- OneLake and Data Storage.
- Data Integration with Data Factory.
- Data Engineering with Notebooks.
- Data Warehousing in Fabric.
- Connecting with Power BI.
Module 7: Capstone Project & Portfolio
Apply everything in a real-world project and build a portfolio-ready case study that showcases your analytical skills to future employers.
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Bonus: Resume Building & Career Prep
Polish your data analytics resume, LinkedIn profile, and portfolio so you can confidently apply for analyst, BI, and data engineering roles.
Essential Tools and Technologies
SQL
Manage complex relational databases and structured data querying.
Python
Utilize powerful libraries for data manipulation and predictive modeling.
Snowflake
Create interactive dashboards and visual stories for business metrics.
Power BI
Embed business intelligence with Microsoft's analytics ecosystem.
Excel
Master advanced financial modeling and quick-turn data analysis.
Pandas
Implement complex transformations on large-scale datasets with ease.
Cloud Data
Explore cloud-based architectures for enterprise-level scalability.
Databricks
Unify data engineering and machine learning on a collaborative lakehouse platform.
What You Will Gain
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Master SQL for complex data retrieval and architectural design.
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Build predictive models using Python and advanced ML libraries.
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Create high-impact visualizations in Power BI.
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Implement end-to-end data pipelines for real-time analytics.
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Develop data-driven strategies for business decision-making.
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Gain hands-on experience building data pipelines and analytics solutions with Snowflake and Databricks.
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