Data Analysis and Visualization with Microsoft Excel
- 2 Days Course
- Language: English
Introduction:
Organizations that rely on instinct often miss key opportunities. The ones that trust their data? They win more customers, keep them longer, and earn more in the process. In fact, data-driven organizations are 23 times more likely to acquire customers, six times more likely to retain them, and 19 times more likely to be profitable.
This course shows you how to use Microsoft Excel to make sense of data and communicate it clearly. You’ll learn how to organize, clean, and analyze datasets, build dashboards that update with a click, and present insights using tools like PivotTables, Power Pivot, and geospatial charts. For professionals responsible for reporting, forecasting, or decision support, this training delivers practical, real-world skills you can apply right away.
Objectives:
This course gives you the tools to move beyond rows and columns and start driving decisions with data. You’ll build confidence using Excel to solve real business problems—turning raw data into insight, and insight into action.
Clean and prepare data using tables, formulas, and functions
Analyze trends and patterns with PivotTables and PivotCharts
Build interactive dashboards with slicers and timelines
Use geospatial and statistical tools to deepen your analysis
Model data using Power Pivot and connect multiple sources
Course Outline:
1 – Data Analysis Fundamentals
- Introduction to data science
- Create and modify tables
- Sort and filter datasets
2 – Visualizing Data with Excel
- Create charts to represent trends and comparisons
- Format and style visualizations for clarity
- Apply best practices in chart design
3 – Analyzing Data with Formulas and Functions
- Use formulas and named ranges for efficient analysis
- Apply logical and lookup functions
- Build forms, use data validation, and automate inputs
4 – Analyzing Data with PivotTables
- Build PivotTables from raw data
- Analyze, filter, and summarize results
5 – Building Dashboards in Excel
- Use PivotCharts to visualize dynamic data
- Add slicers and timelines for interactivity
- Combine visual elements into a dashboard
6 – Geospatial Visualizations
- Create map charts to show data by location
- Customize and interpret map-based visuals
7 – Performing Statistical Analysis
- Use sparklines and trendlines to show patterns
- Apply the Data Analysis ToolPak for statistical insights
8 – Getting and Transforming Data
- Connect to outside data sources with queries
- Clean, combine, and shape raw data for analysis
9 – Modeling Data with Power Pivot
- Enable Power Pivot and load data models
- Use DAX formulas for advanced calculations
- Create relationships between datasets
10 – Presenting Insights with Reports (Optional)
- Plan and build formatted Excel reports for stakeholders
Enroll in this course
$895.00