In this course, you’ll learn how to clean, analyze, and visualize data using Microsoft Excel and Power BI, transform raw data into interactive dashboards, and present clear insights that support smarter business decisions.
Price
Duration
Days
Class
Certificate
The Excel & Power BI Data Analysis course is designed to help you understand, analyze, and visualize data effectively using two of the most widely used business intelligence tools. You’ll learn how to clean and organize data in Excel, perform meaningful analysis, and transform your data into interactive dashboards using Power BI.
By the end of this course, you’ll be able to analyze real-world datasets using Excel, build interactive dashboards with Power BI, and confidently communicate insights that support smarter business and organizational decisions.
Register NowIntroduction to SQL and databases
Creating and altering tables
Comparison and logical operators
Aggregate functions (SUM, AVG, COUNT, MAX, MIN)
GROUP BY clause
ORDER BY and DISTINCT
HAVING clause
JOINS overview (INNER, LEFT, RIGHT, FULL)
● Subqueries and nested queries
Install Tableau Public/Desktop
Understand Tableau interface: Data Pane, Analytics Pane, Shelves
Connect to first dataset (Sample - Superstore)
Basic Visualizations
Bar charts (horizontal/vertical)
Line charts for time series
Scatter plots
Heat maps and highlight tables
Project: Sales analysis dashboard with 4 chart types
Basic calculations (SUM, AVG, COUNT)
Quick table calculations
Custom aggregation
Project: Profit margin analysis with calculated fields
Filter types: Extract, Data Source, Context
Top N filtering
Exercise: Create dynamic dashboard with user-controlled parameters
Dual axis charts
Bullet graphs
Data Preparation & Blending
Data interpreter for cleaning
Pivot and split data
Joins vs. Relationships
Dashboards & Storytelling
Interactive storytelling
Best practices for dashboard design
Project: Complete sales performance dashboard
Our training programs are designed to equip students with practical, industry-relevant skills through hands-on learning and real-world projects.
Fully Virtual
30th March, 2026
7PM - 9PM
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