DATA ANALYTICS WITH EXCEL, POWER BI & SQL

Turn Data Into Insights & Better Decisions

Duration: 4 Weeks | 30 Hours

Level: Beginner

Format: Live Classes • Practical Labs • Projects

Certificate: Certificate in Data Analytics

Programme Overview

This beginner-friendly programme teaches participants how to collect, clean, analyze and visualize data using Excel, SQL and Power BI.

No previous data analytics or programming experience is required.

DATA → CLEAN → ANALYZE → VISUALIZE → DECIDE

Who Can Attend?

1. Students & Recent Graduates
2. Business Professionals
3. Entrepreneurs & Business Owners
4. Administrative Professionals
5. Marketing & Sales Professionals
6. Finance & HR Professionals
7. Researchers
8. Anyone interested in Data Analytics
9. 
   

Program Module

Module 1: Introduction to Data Analytics

1. What is Data Analytics?
2. Types of data
3. Understanding datasets
4. Data analysis process
5. Asking the right questions

Module 2: Excel for Data Analytics

1. Excel fundamentals
2. Data cleaning
3. Formulas & functions
4. Sorting & filtering
5. Pivot Tables
6. Charts & dashboards
7. Practical: Analyze a real dataset

Module 3: SQL Fundamentals

1. What is SQL?
2. Databases & tables
3. SELECT, WHERE & ORDER BY
4. Filtering data
5. GROUP BY & aggregation
6. JOINs
7. Practical: Query a business database

Module 4: Power BI Fundamentals

1. Introduction to Power BI
2. Importing data
3. Data cleaning
4. Data relationships
5. Basic DAX
6. Creating visualizations
7. Practical: Build your first dashboard

Module 5: Data Visualization & Reporting

1. Choosing the right charts
2. Building interactive dashboards
3. Finding trends and patterns
4. Presenting insights
5. Data storytelling
6. Practical: Build an executive dashboard

Module 6: Final Data Analytics Project

Participants work with a real-world dataset to:

1. Clean the data in Excel
2. Analyze data using Excel & SQL
3. Build a Power BI dashboard
4. Identify key insights
5. Present recommendations

Tools You'll Learn

Excel • SQL • Power BI

Key Skills

1. Data Cleaning
2. Data Analysis
3. Excel Analytics
4. SQL Queries
5. Data Visualization
6. Power BI Dashboards
7. Data Storytelling
8. Business Insights
9. Data-Driven Decision-Making

What You'll Leave With

A practical Data Analytics Portfolio containing:

1. Excel Analysis
2. SQL Queries
3. Power BI Dashboard
4. Final Data Analytics Project

Programme Promise

No coding background. No advanced mathematics. Just practical skills to turn data into useful business insights.