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Microsoft Excel & Advanced Analytics

Master Excel.
Analyze Data. Build Insights.
Become Industry Ready.

Learn Microsoft Excel from fundamentals to advanced analytics through formulas, functions, data cleaning, PivotTables, dashboards, Power Query, Power Pivot, automation, and real-world business projects.

3–4 MonthsDuration
Beginner → AdvancedLevel
10+Projects
2Capstones
COURSE FEE
₹25,000
excel_analytics.xlsx
01= XLOOKUP(A2,Data!A:A,Data!D:D)
02= SUMIFS(Sales,Region,"West")
03= IFERROR(Profit/Revenue,0)
04= PIVOT_TABLE(Sales,Region)
05= FILTER(Data,Data[Status]="Active")
06<Dashboard />
07"Data. Analysis. Decisions."
🐍 Excel Fundamentals + Data⚙ PivotTables✦ Generative AI
The complete Excel skill stack

Why Master Excel?

Excel remains one of the most widely used business tools for analysis, reporting, financial modeling, operations, MIS, and decision-making. Build practical skills that businesses use every day.

01
◫

Excel Fundamentals

Build a strong spreadsheet foundation.

02
∑

Formulas & Functions

Solve business problems with powerful functions.

03
◉

Data Analysis

Clean, transform, analyze, and summarize data.

04
↗

PivotTables

Summarize large datasets quickly.

05
✦

Dashboards

Build interactive decision-ready dashboards.

06
⇄

Automation

Automate repetitive Excel workflows.

Skill builder

What You'll Learn

Excel Fundamentals

Workbook structure, worksheets, formatting, tables, cell references, and efficient navigation.

Formulas & Functions

Master SUM, IF, COUNTIFS, SUMIFS, AVERAGEIFS, nested formulas, and logical functions.

Lookup Functions

Use XLOOKUP, VLOOKUP, INDEX-MATCH, XMATCH, and dynamic lookup techniques.

Data Cleaning

Clean messy business data using Text to Columns, Flash Fill, Remove Duplicates, and formulas.

Sorting & Filtering

Build efficient analysis workflows using advanced filters, custom sorting, and structured tables.

PivotTables

Summarize thousands of records and create flexible reports with PivotTables and PivotCharts.

Charts & Visualization

Create professional charts, KPI views, trend analysis, and management-ready reports.

Interactive Dashboards

Build dynamic dashboards using slicers, timelines, formulas, charts, and KPI cards.

Power Query

Import, clean, transform, combine, and refresh data from multiple sources.

Power Pivot & Data Model

Work with relationships, data models, calculated columns, measures, and business reporting.

Advanced Analytics

Use What-If Analysis, Goal Seek, Scenario Manager, forecasting, and analytical models.

Automation & VBA Basics

Understand macros and automate repetitive reporting and Excel workflows.

Your toolkit

Tools & Technologies

Work with technologies used across the modern Excel, ML, analytics, and AI workflow.

Excel Core

XLMicrosoft ExcelTBExcel TablesFRFormulasFNFunctions

Data Analysis

PTPivotTablesPCPivotChartsCFConditional FormattingWFWhat-If Analysis

Data Preparation

PQPower QueryDMData ModelDCData CleaningETETL

Business Intelligence

DBDashboardsKPKPI ReportingCHChartsMIMIS Reporting

Automation

VBVBA BasicsMCMacrosRFRefresh WorkflowsAUAutomation
12 modules

Course Curriculum

Learn the complete Microsoft Excel & Advanced Analytics lifecycle from fundamentals to intelligent applications.

01Excel FundamentalsView module+
  • Workbook & worksheet basics
  • Rows, columns & ranges
  • Cell references
  • Formatting & number formats
  • Tables & structured references
  • Freeze panes & navigation
BuildProfessional Excel business workbook
02Formulas & FunctionsView module+
  • SUM, AVERAGE & COUNT
  • IF & nested IF
  • AND, OR & NOT
  • SUMIF/SUMIFS
  • COUNTIF/COUNTIFS
  • ROUND & text functions
  • Date & time functions
BuildBusiness calculation model
03Lookup & Reference FunctionsView module+
  • XLOOKUP
  • VLOOKUP & HLOOKUP
  • INDEX & MATCH
  • XMATCH
  • Two-way lookups
  • Dynamic references
BuildEmployee & sales lookup system
04Data Cleaning & PreparationView module+
  • Remove duplicates
  • Text to Columns
  • Flash Fill
  • TRIM, CLEAN & SUBSTITUTE
  • Data validation
  • Error handling
  • Cleaning messy datasets
BuildClean business dataset
05Sorting, Filtering & Advanced AnalysisView module+
  • Advanced sorting
  • AutoFilter
  • Advanced Filter
  • Dynamic arrays
  • UNIQUE, FILTER & SORT
  • Data validation lists
BuildInteractive data analysis sheet
06PivotTables & PivotChartsView module+
  • Create PivotTables
  • Grouping & calculated fields
  • Slicers
  • Timelines
  • PivotCharts
  • Drill-down reporting
BuildSales performance report
07Charts & Data VisualizationView module+
  • Column & bar charts
  • Line & area charts
  • Pie & doughnut charts
  • Combo charts
  • KPI cards
  • Chart formatting
  • Management reporting
BuildExecutive reporting dashboard
08Advanced Excel AnalyticsView module+
  • What-If Analysis
  • Goal Seek
  • Scenario Manager
  • Data Tables
  • Forecasting
  • Solver fundamentals
BuildBusiness forecasting model
09Power QueryView module+
  • Import data
  • Transform columns
  • Merge queries
  • Append queries
  • Unpivot data
  • Refresh workflows
  • ETL fundamentals
BuildAutomated data preparation pipeline
10Power Pivot & Data ModelView module+
  • Data Model
  • Relationships
  • Measures
  • Calculated columns
  • Business metrics
  • Model-based reporting
BuildMulti-table business intelligence model
11Interactive DashboardsView module+
  • Dashboard layout
  • KPI cards
  • Slicers & timelines
  • Dynamic charts
  • Interactive controls
  • Executive storytelling
BuildManagement dashboard
12VBA & Excel Automation BasicsView module+
  • Macro recording
  • VBA editor basics
  • Variables & procedures
  • Loops & conditions
  • Automated reports
  • Practical automation workflows
BuildAutomated monthly MIS report
Build while learning

Projects You'll Build

Practical projects turn concepts into a portfolio you can actually showcase.

PROJECT 01

Sales Analytics Dashboard

Analyze business sales data and create an interactive decision-making dashboard.

SQL · Excel Fundamentals · Pandas · Power BI
PROJECT 02

Customer Churn Prediction

Build a machine learning model to identify customers at risk of churn.

Excel Fundamentals · Pandas · Scikit-learn
PROJECT 03

Customer Segmentation

Use clustering techniques to identify meaningful customer groups.

Excel Fundamentals · EDA · K-Means · Visualization
PROJECT 04

Demand Forecasting

Analyze historical business data and build a predictive forecasting workflow.

Excel Fundamentals · Formulas & Functions · PivotTables
PROJECT 05

AI Document Assistant

Build an AI assistant that answers questions from uploaded business documents.

Excel Fundamentals · LLM · Embeddings · RAG
PROJECT 06

AI Business Insights

Combine analytics and generative AI to turn business data into useful insights.

Excel Fundamentals · SQL · Power BI · GenAI
Go beyond the basics

Capstone Projects

Two substantial applications bring Excel, PivotTables, analytics, and AI together.

CAPSTONE 01

End-to-End Business Intelligence & ML Platform

Build a complete data solution that moves from raw business data to dashboards and predictive insights.

✓ Data ingestion✓ SQL analytics✓ Data cleaning✓ EDA✓ Power BI dashboard✓ Feature engineering✓ ML prediction✓ Model evaluation✓ Business insights✓ Automation workflow
STACK · Excel Fundamentals · SQL · Pandas · Scikit-learn · Power BI
CAPSTONE 02

Generative AI Knowledge Assistant

Build a grounded AI application that retrieves information from a knowledge base and generates useful responses.

✓ Document ingestion✓ Text chunking✓ Embeddings✓ Vector search✓ RAG pipeline✓ Prompt engineering✓ Context retrieval✓ Response generation✓ Evaluation✓ AI application deployment
STACK · Excel Fundamentals · LLM · Embeddings · Vector DB · RAG
From raw data to intelligence

Your Learning Journey

01

Learn

Build Excel Fundamentals, SQL, statistics, and data fundamentals.

02

Analyze

Clean datasets, explore patterns, and communicate insights.

03

Model

Train and evaluate machine learning models.

04

Build

Create AI and Generative AI applications.

05

Deploy

Move analytics and intelligent solutions toward production.

06

Showcase

Build a portfolio that demonstrates real data and AI skills.

More than a curriculum

What You Get

01

Structured Learning

A clear path from Excel Fundamentals fundamentals to Microsoft Excel & Advanced Analytics.

02

Hands-On Projects

Learn through practical analytics, ML, and AI applications.

03

12+ Projects

Build a portfolio across analytics, machine learning, and AI.

04

2 Capstone Applications

Develop substantial projects that bring the complete workflow together.

05

Mentorship & Guidance

Get support throughout your learning and project journey.

06

Career Preparation

Prepare your portfolio, resume, LinkedIn, GitHub, and interviews.

Who can join

Who Is This Course For?

Beginners

Start Microsoft Excel & Advanced Analytics from the fundamentals.

College Students

Build industry-relevant data and AI skills alongside your degree.

Graduates

Bridge the gap between academics and practical data work.

Career Switchers

Follow a structured path into analytics, ML, and AI roles.

Working Professionals

Add modern analytics and AI capabilities to your profile.

Start from zero

Prerequisites

No advanced programming or mathematics knowledge is required. We'll take you from fundamentals to practical Microsoft Excel & Advanced Analytics step by step.

✓Basic computer knowledge
✓A laptop or desktop
✓Willingness to learn
✓Consistent practice
✓Commitment to building projects
Where it can lead

Career Paths

Your career outcome depends on your skills, portfolio, experience, and interview performance.

Data Analyst ↗Business Analyst ↗Data Scientist ↗PivotTables Engineer ↗AI Engineer ↗BI Developer ↗GenAI Developer ↗
Questions, answered

Frequently Asked Questions

Is this course beginner-friendly?+
Yes. The course starts with Excel Fundamentals, SQL, statistics, and data fundamentals before moving into machine learning and AI.
Do I need a CS or mathematics degree?+
No. A CS or mathematics degree is not required. The required concepts are taught progressively.
Will I learn both Microsoft Excel & Advanced Analytics?+
Yes. The curriculum covers analytics, machine learning, AI fundamentals, Generative AI, LLMs, embeddings, and RAG.
Will I build real projects?+
Yes. Projects are integrated throughout the curriculum, including two major capstone applications.
Will I learn Power BI and SQL?+
Yes. SQL and business intelligence are included so you can work with real business data and communicate insights effectively.
Will I learn Generative AI and RAG?+
Yes. You'll learn LLM fundamentals, prompt engineering, embeddings, vector search, and RAG application workflows.
Is placement guaranteed?+
IT Pratha focuses on technical skill development and career preparation. Employment cannot be guaranteed because hiring depends on the candidate, employer, market conditions, and interview performance.
Your next chapter starts here

Don't Just Analyze Data.
Build Intelligence.

Develop practical skills to analyze data, build predictive models, create AI applications, and take your first step toward a career in Excel and Dashboards.