Big Data Analysis using Excel & SQL

Price range: ₹ 4,999 through ₹ 6,999

Mode of Delivery: Online/Offline(Kochi)
Time: 90mins Monday to Friday
Eligibility: College Students looking for professional and industrial Summer Internship
Internship Duration Options: 15 Days(10 Days Training and 5 Days Project)

Get up to 20.26% off using promocode : TransEduverse26
Offer valid till June 30, 2026 23:59

Enrollment & Contact
Website: www.transeduverse.tech Email: mail@transeduverse.tech Phone: +91 7511 13 3382

Guaranteed Safe Checkout

Week 1: Large-Scale Data Handling in Excel

The Power Pivot Engine: Handling datasets that exceed the 1-million row limit by using Excel’s Data Model (Internal VertiPaq engine).
Advanced Data Cleaning (Power Query): Automating ETL (Extract, Transform, Load) processes; merging multiple large CSVs and folder-level data imports.
DAX Foundations for Excel: Writing “Data Analysis Expressions” for complex measures like Year-to-Date (YTD) totals and Distinct Counts across millions of rows.
Big Data Visualization: Creating high-performance dashboards using PivotCharts, Slicers, and Timelines that remain responsive with large underlying data.
Statistical Modeling: Using the Solver Add-in and “What-If” Analysis (Goal Seek, Data Tables) to perform predictive modeling on historical trends.

Week 2: High-Volume Querying with SQL

Database Optimization: Understanding Indexes (Clustered vs. Non-Clustered) and Execution Plans to speed up queries on tables with millions of records.
Complex Joins & Set Operations: Handling “Data Silos” by merging massive tables using JOIN, UNION ALL, and INTERSECT.
Analytical Window Functions: Performing advanced ranking, cumulative sums, and moving averages using OVER(PARTITION BY...) without collapsing rows.
Data Aggregation for Big Data: Using GROUP BY with ROLLUP and CUBE for multi-dimensional reporting; managing subqueries vs. CTEs for query readability.
Big Data Integration: Exporting processed SQL datasets back into Excel via ODBC/OLEDB connectors for a seamless “SQL-to-Excel” analytical pipeline.
Capstone Project: Analyze a “Million-Row” retail dataset—querying the trends in SQL and building a dynamic executive summary dashboard in Excel.