Training on Advanced Excel for Data Analysis

Module 1: Introduction to Advanced Excel Features

• Overview of Excel interface and shortcuts for productivity
• Advanced data management tools
• Introduction to key Excel functions (VLOOKUP, INDEX & MATCH, IFERROR, etc.)
• Tips for improving workflow and efficiency

Module 2: Data Cleaning and Transformation

• Identifying and correcting data errors (text, numbers, dates)
• Using Text-to-Columns and Find & Replace
• Removing duplicates and dealing with blanks
• Introduction to Power Query for data import and transformation

Module 3: Working with Complex Formulas and Functions

• Advanced formula techniques: nested IF statements, array formulas
• Working with date and time functions
• Logical functions for complex decision making
• Advanced lookup techniques (INDEX, MATCH, XLOOKUP, etc.)

Module 4: Introduction to PivotTables and PivotCharts

• Creating and formatting PivotTables
• Grouping data and applying filters in PivotTables
• Customizing PivotCharts for data visualization
• Using Slicers for interactivity in PivotTables

Module 5: Advanced PivotTable Techniques and Analysis

• Calculated fields and calculated items in PivotTables
• PowerPivot for advanced data modeling
• Analyzing large datasets with multiple related tables
• Using PivotTables for trend analysis and forecasting

Module 6: Data Visualization and Dashboards

• Principles of effective data visualization
• Creating dynamic charts: line, bar, scatter, pie, etc.
• Using conditional formatting to highlight trends and patterns
• Building interactive dashboards with Excel’s form controls and charts

Module 7: Automating Excel with Macros and VBA

• Introduction to Macros: Recording and editing
• Automating repetitive tasks using Macros
• Introduction to VBA for customizing Excel functionality
• Writing basic VBA scripts for automating tasks

Module 8: Power Query for Data Import and Cleaning

• Understanding Power Query interface
• Importing data from external sources (CSV, databases, web, etc.)
• Using Power Query for data transformation: filtering, sorting, and merging data
• Creating reusable queries and refreshing data

Module 9: Power Pivot and Data Models

• Introduction to Power Pivot and its use in data modeling
• Working with relationships between tables
• Creating Data Models for complex analysis
• Using DAX (Data Analysis Expressions) for advanced calculations in Power Pivot

Module 10: Statistical Analysis and Problem Solving in Excel

• Using Excel’s statistical functions for analysis
• Regression analysis and trendline forecasting
• Solving business problems with Solver and Goal Seek
• Building business models and simulations in Excel