What you'll learn
Advanced Excel & R Programming Course
Learn industry-ready data analysis, reporting, automation, and visualization skills using Advanced Excel and R Programming. This course is specially designed for students, office professionals, accountants, MIS executives, analysts, and job seekers who want to build strong analytical and reporting skills for modern workplaces.
Course Overview
This professional course combines the power of Microsoft Excel and R Language to help students work with data efficiently, automate tasks, create dashboards, perform analysis, and generate professional reports.
Students will learn from basic concepts to advanced practical applications with real-world projects and hands-on practice.
Introduction to Excel & Advanced Excel
- Excel Interface & Ribbon
- Workbook & Worksheet Management
- Formatting Techniques
- Shortcuts & Productivity Tips
Excel Formulas & Functions
- SUM, AVERAGE, COUNT
- IF, Nested IF
- VLOOKUP, HLOOKUP, XLOOKUP
- INDEX & MATCH
- TEXT Functions
- DATE & TIME Functions
- Logical Functions
- Financial Functions
Data Management
- Sorting & Filtering
- Conditional Formatting
- Data Validation
- Remove Duplicates
- Flash Fill
- Text to Columns
Pivot Tables & Pivot Charts
- Creating Pivot Tables
- Data Summarization
- Grouping & Filtering
- Dynamic Reports
- Interactive Charts
Dashboard & Reporting
- Professional MIS Reports
- KPI Dashboards
- Interactive Visual Reports
- Slicers & Timelines
- Business Analytics Reports
Excel Automation
- Macro Recording
- VBA Basics
- Automated Reporting
- Form Controls
- Workflow Automation
R Programming Language
Introduction to R
- Installing R & RStudio
- Understanding R Environment
- Variables & Data Types
- Operators & Expressions
Data Handling in R
- Vectors, Lists, Matrices
- Data Frames
- Importing Excel/CSV Files
- Data Cleaning Techniques
R Programming Concepts
- Conditional Statements
- Loops
- Functions
- Packages & Libraries
Data Analysis using R
- Statistical Analysis
- Data Transformation
- Data Manipulation
- Exploratory Data Analysis
Data Visualization
- Charts & Graphs
- Bar Chart
- Pie Chart
- Histogram
- Scatter Plot
- Advanced Visualization using ggplot2
Real Projects
- Sales Analysis
- Student Data Analysis
- Business Reporting
- Data Visualization Projects
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Course Syllabus
Advanced Excel & R Programming Course
MODULE 1 — COMPUTER FUNDAMENTALS
- Introduction to Computers
- Input & Output Devices
- File Management
- Internet & Email Basics
- MS Office Introduction
MODULE 2 — ADVANCED EXCEL
Chapter 1: Excel Basics
- Introduction to MS Excel
- Workbook & Worksheet
- Rows, Columns & Cells
- Ribbon & Toolbar
- Excel Shortcuts
Chapter 2: Formatting & Data Entry
- Cell Formatting
- Number Formatting
- Font & Alignment
- Borders & Colors
- Conditional Formatting
Chapter 3: Basic Formulas
- Addition, Subtraction
- Multiplication & Division
- Percentage Calculation
- AutoSum
- Relative & Absolute Referencing
Chapter 4: Important Functions
- SUM()
- AVERAGE()
- MAX() & MIN()
- COUNT() & COUNTA()
- ROUND()
- IF() & Nested IF()
- AND(), OR()
- CONCATENATE()
- TEXT()
- LEN(), LEFT(), RIGHT(), MID()
Chapter 5: Lookup & Reference Functions
- VLOOKUP()
- HLOOKUP()
- XLOOKUP()
- INDEX()
- MATCH()
Chapter 6: Date & Time Functions
- TODAY()
- NOW()
- DATEDIF()
- DAY(), MONTH(), YEAR()
Chapter 7: Data Management
- Sorting
- Filtering
- Advanced Filter
- Remove Duplicates
- Data Validation
- Flash Fill
- Text to Columns
Chapter 8: Pivot Table & Charts
- Creating Pivot Tables
- Pivot Reports
- Pivot Charts
- Slicers
- Dynamic Dashboards
Chapter 9: MIS Reporting
- Professional MIS Reports
- Sales Reports
- Attendance Reports
- Salary Sheets
- Inventory Reports
Chapter 10: Macros & VBA
- Macro Recording
- VBA Introduction
- Automation Basics
- Automated Reporting
R PROGRAMMING
Chapter 1: Introduction to R
- Introduction to R Language
- Installing R & RStudio
- R Interface
- Variables & Data Types
Chapter 2: Operators & Statements
- Arithmetic Operators
- Logical Operators
- Conditional Statements
- Loops in R
Chapter 3: Data Structures
- Vectors
- Lists
- Matrices
- Arrays
- Data Frames
Chapter 4: Functions in R
- Built-in Functions
- User Defined Functions
- Packages & Libraries
Chapter 5: Data Import & Export
- Import Excel Files
- Import CSV Files
- Export Data
- Data Cleaning
Chapter 6: Data Analysis
- Descriptive Statistics
- Mean, Median & Mode
- Correlation
- Data Transformation
Chapter 7: Data Visualization
- Bar Charts
- Pie Charts
- Histograms
- Line Charts
- Scatter Plots
- ggplot2 Basics
Chapter 8: Real-Time Projects
- Sales Data Analysis
- Student Database Analysis
- Business Reporting
- Dashboard Projects
MODULE 4 — PROJECT WORK
- Live Excel Projects
- Data Analysis Projects
- Dashboard Creation
- Reporting System
- Final Practical Assessment
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