Data Analysis and Visualization with Microsoft Excel ISI-1596
- 3 upcoming dates 2 open for booking
- $895 per seat
Upcoming dates
| Dates | Where | Status | Seat | Book |
|---|---|---|---|---|
| Sep 28–29 2026 | Live Online 9:00 AM to 4:00 PM PT | Confirmed to run | $895 | |
| Oct 29–30 2026 | Live Online 9:00 AM to 4:00 PM PT | Confirmed to run | $895 | |
| Dec 8–9 2026 | Live Online 9:00 AM to 4:00 PM PT | Scheduled | $895 |
About this class
Technology and the data that it both collects and makes accessible is now interwoven with businesses and lives. The era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, enabling organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.
Analyzing data to find issues, insights, and opportunities is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.
Microsoft Excel is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis, and create diverse and robust data-driven visualizations to show insights and trends, as well as create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action.
What you'll be able to do
- Data Analysis Fundamentals
- Visualizing Data with Excel
- Analyzing Data with Formulas and Functions
- Analyzing Data with PivotTables
- Presenting Visual Insights with Dashboards in
- Creating Geospatial Visualizations with Excel
- Performing Statistical Analysis
- Getting and Transforming Data
- Modeling and Analyzing Data with Power Pivot
- Presenting Insights with Reports
Course outline
Module 1Data Analysis Fundamentals
- Introduction to Data Science
- Create and Modify Tables
- Sort and Filter Data
Module 2Visualizing Data with Excel
- Visualize Data with Charts
- Modify and Format Charts
- Apply Best Practices in Chart Design
Module 3Analyzing Data with Formulas and Functions
- Analyze Data with Formulas and Named Ranges
- Analyze Data with Functions
- Implement Data Validation, Forms, and Controls
- Create Conditional Visualizations with Lookup Functions
Module 4Analyzing Data with PivotTables
- Create a PivotTable
- Analyze PivotTable Data
Module 5Presenting Visual Insights with Dashboards in
- Excel
- Visualize Data with PivotCharts
- Filter Data Using Slicers and Timelines
- Create a Dashboard in Excel
Module 6Creating Geospatial Visualizations with Excel
- Create Map Charts in Excel
- Customize Map Charts in Excel
Module 7Performing Statistical Analysis
- Visualize Trendlines and Sparklines with Excel
- Analyze Data with the Analysis ToolPak
Module 8Getting and Transforming Data
- Connect to Data with Queries
- Clean and Combine Data
- Shape and Transform Data
Module 9Modeling and Analyzing Data with Power Pivot
- Install Power Pivot in Excel
- Create Data Models with Power Pivot
- Create Power Pivots
- Perform Advanced Data Analysis and Visualization
Module 10Presenting Insights with Reports
- Plan a Report
- Create a Report
Download the full outline (PDF)
Before you attend
To ensure success, you should have baseline skill using Excel worksheets, particularly in creating workbooks with formulas and functions. You can obtain this level of knowledge ties enable people who use Excel for data analysis to turn data into thoughtful action.
Run this for a team
Private cohorts run on your dates, at your site or online, with the labs pointed at your environment. Above about four people it usually costs less than buying seats.
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