Course Overview:
This course is designed to take learners from the basics of Excel to advanced techniques used in data analytics and business decision-making. By the end of the course, participants will be equipped with the skills to organize, analyze, and visualize data effectively.
Module 1: Excel Basics (Beginner Level)
- Introduction to Excel Interface and Basics
- Ribbon, workbook, and worksheet navigation
- Creating, saving, and managing workbooks
- Basic data entry and formatting
- Basic Formulas and Functions
- Arithmetic operations (+, -, *, /)
- Introduction to cell referencing (relative, absolute, and mixed)
- Essential functions: SUM, AVERAGE, MIN, MAX, COUNT
- Data Formatting and Management
- Cell formatting: text alignment, borders, colors
- Conditional formatting basics
- Working with rows, columns, and ranges
Module 2: Intermediate Excel for Data Management
- Data Organization and Cleaning
- Sorting and filtering data
- Removing duplicates
- Text functions: LEFT, RIGHT, MID, TRIM, CONCATENATE
- Essential Functions for Analytics
- Logical functions: IF, AND, OR, NOT
- Lookup and reference functions: VLOOKUP, HLOOKUP, INDEX, MATCH
- Working with Tables
- Creating and formatting Excel tables
- Table slicers for filtering
- Introduction to structured references
Module 3: Advanced Excel Techniques
- Data Analysis and Visualization
- Creating and customizing charts (line, bar, pie, combo)
- Pivot Tables and Pivot Charts
- Grouping, summarizing, and drilling down in Pivot Tables
- Advanced Formulas
- Nested functions (e.g., IF + VLOOKUP)
- Array formulas
- Text and date functions for advanced scenarios
- Data Validation and Protection
- Setting up data validation rules
- Protecting worksheets and workbooks
Module 4: Excel for Business and Data Analytics
- Data Modeling Basics
- Understanding data relationships
- Using Power Query for data cleaning and transformation
- Intro to Power Pivot
- Statistical Analysis with Excel
- Descriptive statistics: mean, median, mode, standard deviation
- Correlation and regression analysis
- Using Data Analysis ToolPak
- Scenario Analysis
- What-If Analysis: Goal Seek, Scenario Manager
- Creating and analyzing data tables
Module 5: Excel Automation and Macros
- Introduction to Macros
- Recording and running macros
- Modifying recorded macros
- Introduction to VBA for Automation
- Basics of VBA syntax
- Writing custom functions
- Automating repetitive tasks
Module 6: Excel Integration and Reporting
- Data Import and Export
- Importing data from CSV, TXT, and databases
- Exporting Excel data to various formats
- Dynamic Dashboards
- Designing interactive dashboards using slicers, charts, and conditional formatting
- Linking data for real-time updates
- Collaboration and Sharing
- Sharing and tracking changes in Excel
- Using OneDrive and SharePoint for collaboration
Capstone Project
- Data Analytics Business Case
- Real-world scenario 1: Analyze sales, finance, or operational data
- Real-world scenario 2: Exploratory Data Analysis on Survival dataset
- Create a report using Pivot Tables, charts, and dashboards
- Present insights and actionable recommendations
Course Duration:
- Total Duration: 20 hours
- Beginner: 2-4 hours
- Intermediate: 4-6 hours
- Advanced: 6-10 hours
Prerequisites:
- No prior Excel experience is required for beginners.
