The Advanced Excel & Power BI Course is designed for students, graduates, working professionals, and job seekers who want to develop professional skills in data analysis, reporting, dashboard creation, and business intelligence.

This course helps learners transform raw data into meaningful business insights using Microsoft Excel and Power BI.

1. Course Overview

2. Advanced Excel Syllabus

• Excel interface and workbook management

• Data formatting and professional reporting

• Excel Tables and structured references

• Data sorting and filtering

• Data validation and drop-down lists

• Conditional formatting

Module 2: Advanced Excel Formulas

• IF, IFS, AND, OR

• SUMIF, SUMIFS

• COUNTIF, COUNTIFS

• AVERAGEIF, AVERAGEIFS

• VLOOKUP and HLOOKUP

• XLOOKUP

• INDEX and MATCH

• IFERROR

• TEXT, LEFT, RIGHT, MID

• DATE, TODAY, EOMONTH

• Dynamic array functions: FILTER, SORT, UNIQUE

Module 3: Data Analysis & Reporting

• Pivot Tables

• Pivot Charts

• Slicers and Timelines

• Grouping and summarizing data

• Dashboard creation

• KPI reports

• MIS reporting

• Monthly and yearly reports

Module 4: Power Query & Excel Automation

• Importing data from multiple sources

• Data cleaning and transformation

• Removing duplicates

• Splitting and merging columns

• Append and Merge Queries

• Refreshing reports

• Introduction to Excel Macros and VBA

3. Power BI Course Syllabus

• What is Business Intelligence (BI)?

• Introduction to Power BI

• Power BI Desktop

• Power BI Service

• Power BI Mobile

• Power BI workflow

• Excel vs Power BI

Module 6: Data Import & Power Query

• Import data from Excel, CSV, and text files

• Connect to SQL Server databases

• Import data from multiple sources

• Power Query Editor

• Data cleaning and transformation

• Remove duplicates and errors

• Merge and Append Queries

• Data type conversion

• Data refresh

Module 7: Data Modeling

• Understanding data models

• Tables and relationships

• One-to-many and many-to-many relationships

• Primary keys and foreign keys

• Star schema and snowflake schema

• Fact and dimension tables

• Date tables

• Data modeling best practices

Module 8: DAX (Data Analysis Expressions)

DAX is the formula language used in Power BI for creating calculations and analytical measures.

Important DAX functions:

• SUM, AVERAGE, COUNT

• SUMX, AVERAGEX

• CALCULATE

• FILTER

• ALL, ALLEXCEPT

• RELATED, RELATEDTABLE

• DISTINCTCOUNT

• DIVIDE

• IF, SWITCH

• TOTALYTD

• SAMEPERIODLASTYEAR

• DATEADD

• Time intelligence calculations

• Calculated columns vs measures

• Row context and filter context

Module 9: Power BI Reports & Dashboards

• Bar charts and column charts

• Line charts and area charts

• Pie charts and donut charts

• Tables and matrix visuals

• Cards and KPI visuals

• Slicers and filters

• Drill-down and drill-through

• Bookmarks

• Interactive dashboards

• Report page navigation

• Professional dashboard design

• Publish reports to Power BI Service

Module 10: Power BI Service

• Publishing reports

• Creating workspaces

• Sharing reports

• Scheduled data refresh

• Dashboard creation

• Data security

• Row-Level Security (RLS)

• Exporting reports to PDF and PowerPoint

4. Practical Projects

The course should include real-time projects to help students understand business reporting and data analysis 

Project 1: Excel Sales Dashboard

5. Skills You Will Learn

• Advanced Excel formulas and functions

• Data cleaning and data preparation

• Power Query

• Pivot Tables and Pivot Charts

• Excel Dashboard Development

• Power BI Report Development

• DAX Formulas

• Data Modeling

• Business Intelligence

• MIS Reporting

• Data Visualization

• Business Data Analysis

6. Career Opportunities

7. Course Description for Website

8. Frequently Asked Questions

Q1. Who can join the Advanced Excel & Power BI course?

Students, graduates, job seekers, working professionals, and anyone interested in data analysis can join.

Q2. Is programming required?

No. Basic computer knowledge and Excel fundamentals are helpful. Programming is not required to begin.

Q3. What is the course duration?

A suggested duration is 2–3 months, depending on the training schedule and practical project requirements.

Q4. What jobs can I apply for after completing the course?

You can apply for MIS Executive, Data Analyst, Reporting Analyst, and entry-level Power BI Developer positions, depending on your skills and experience.

Q5. Will I learn real-time projects?

Yes. Students can practice sales, HR, finance, and business reporting projects.

Recommended Course Structure for MIIT Computer Education

For your software training institute, I recommend offering this course as:

Advanced Excel + Power BI + Real-Time Projects

• Duration: 90 days

• Training: Practical and job-oriented

• Level: Intermediate to Advanced

• Final Assessment: Dashboard development project

• Certificate: Course completion certificate

You can also refer students to the official Microsoft Data Analyst learning path for additional learning resources and Power BI certification preparation.