Description

Introduction of Advance Excel Data Analysis

In today’s data-driven world, Excel remains a powerful tool for data analysis and visualization. This Advanced Excel Data Analysis and Visualization Workshop is designed for professionals who want to enhance their analytical skills, leverage advanced Excel functions, and create impactful visual representations of data. Through hands-on exercises, participants will explore data manipulation techniques, advanced charting, Power Query, PivotTables, and automation with macros to improve decision-making.

Prerequisites

• Basic knowledge of Microsoft Excel (formulas, functions, and basic charts)
• Familiarity with data handling and spreadsheet operations
• Interest in improving data analysis and visualization skills

Table of Contents

1. Advanced Data Analysis Techniques

1.1 Working with Large Datasets and Data Cleaning
1.2 Using Advanced Functions: INDEX-MATCH, XLOOKUP, and INDIRECT
1.3 Data Consolidation and Scenario Analysis
1.4 Understanding and Implementing Statistical Functions
1.5 Goal Seek, Solver, and Data Tables for Scenario Planning

2. PivotTables and PivotCharts Mastery

2.1 Creating and Customizing PivotTables
2.2 Advanced PivotTable Features: Calculated Fields, Grouping, and Slicers
2.3 Interactive Data Visualization with PivotCharts
2.4 Using Power Pivot for Data Modeling
2.5 Measures and DAX Formulas for Advanced Pivot Analysis

3. Data Visualization Techniques

3.1 Choosing the Right Chart for Your Data
3.2 Advanced Charting Techniques: Waterfall, Heat Maps, and Radar Charts
3.3 Conditional Formatting for Dynamic Visualization
3.4 Creating Dashboard Elements and Interactive Reports
3.5 Customizing Charts with Trendlines, Sparklines, and Dual-Axis Charts
3.6 Dynamic Data Labels and Annotations for Clearer Insights

4. Power Query and Data Transformation

4.1 Introduction to Power Query for Data Preparation
4.2 Data Cleaning and Shaping Techniques
4.3 Merging and Appending Data from Multiple Sources
4.4 Creating Custom Columns and Formulas in Power Query
4.5 Automating Data Refresh and Transformation Processes

5. Advanced Excel Formulas and Functions

5.1 Using Array Formulas and Dynamic Arrays
5.2 Text Functions for Data Cleaning and Transformation
5.3 Logical Functions: IF, IFS, AND, OR for Conditional Analysis
5.4 Lookup and Reference Functions: VLOOKUP, HLOOKUP, XLOOKUP
5.5 Using OFFSET, INDIRECT, and CHOOSE for Dynamic Data Handling
5.6 Financial Functions for Business and Investment Analysis

6. Automating Analysis with Macros and VBA

6.1 Introduction to Macros and Recording Basic Automations
6.2 Writing Simple VBA Code for Repetitive Tasks
6.3 Automating Data Processing and Report Generation
6.4 Creating Custom User Forms and Input Interfaces in Excel
6.5 Debugging and Error Handling in VBA Scripts

7. Time-Series Analysis and Forecasting in Excel

7.1 Using Moving Averages and Exponential Smoothing
7.2 Trend and Seasonality Detection
7.3 Forecast Sheet for Automated Predictive Analysis
7.4 Using Regression Analysis for Predictive Modeling

8. Power BI Integration with Excel

8.1 Connecting Excel Data to Power BI
8.2 Publishing Excel Dashboards to Power BI Service
8.3 Creating Interactive Reports with Power BI and Excel

9. Case Studies and Hands-on Exercises

9.1 Real-World Data Analysis Scenarios(Ref: Master in SAS for Data Analysis and Reporting)
9.2 Hands-on Project: Creating an Interactive Excel Dashboard
9.3 Best Practices for Effective Data Presentation
9.4 Final Assessment and Q&A Session

Conclusion

By the end of this Advance Excel Data Analysis workshop, participants will have gained expertise in using Excel’s advanced data analysis and visualization features to handle complex datasets and generate actionable insights. Whether for business intelligence, reporting, or automation, this Advance Excel Data Analysis training will empower professionals to work smarter with Excel and make data-driven decisions efficiently.

Reference