Data Analysis and Visualization with Microsoft Excel [v1.1]
E-Learning
Description
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
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.
In this course, you will analyze and visualize data using Excel and associated tools. You will:
Perform data analysis fundamentals.
Visualize data with Excel.
Analyze data with formulas and functions.
Analyze data with PivotTables.
Present visual insights with dashboards in Excel.
Create geospatial visualizations with Excel.
Perform statistical analysis.
Get and transform data.
Model and analyze data with Power Pivot.
Present insights with reports.
This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Excel using PivotTables, use tools such as Power Pivot and the Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel.
| Lesson Id | Title | Description |
|---|---|---|
| 1 | Lesson 1: Data Analysis Fundamentals |
Topic A: Introduction to Data Science Topic B: Create and Modify Tables Topic C: Sort and Filter Data |
| 2 | Lesson 2: Visualizing Data with Excel |
Topic A: Visualize Data with Charts Topic B: Modify and Format Charts Topic C: Apply Best Practices in Chart Design |
| 3 | Lesson 3: Analyzing Data with Formulas and Functions |
Topic A: Analyze Data with Formulas and Named Ranges Topic B: Analyze Data with Functions Topic C: Implement Data Validation, Forms, and Controls Topic D: Create Conditional Visualizations with Lookup Functions |
| 4 | Lesson 4: Analyzing Data with PivotTables |
Topic A: Create a PivotTable Topic B: Analyze PivotTable Data |
| 5 | Lesson 5: Presenting Visual Insights with Dashboards in Excel |
Topic A: Visualize Data with PivotCharts Topic B: Filter Data Using Slicers and Timelines Topic C: Create a Dashboard in Excel |
| 6 | Lesson 6: Creating Geospatial Visualizations with Excel |
Topic A: Create Map Charts in Excel Topic B: Customize Map Charts in Excel |
| 7 | Lesson 7: Performing Statistical Analysis |
Topic A: Visualize Trendlines and Sparklines with Excel Topic B: Analyze Data with the Analysis ToolPak |
| 8 | Lesson 8: Getting and Transforming Data |
Topic A: Connect to Data with Queries Topic B: Clean and Combine Data Topic C: Shape and Transform Data |
| 9 | Lesson 9: Modeling and Analyzing Data with Power Pivot |
Topic A: Install Power Pivot in Excel Topic B: Create Data Models with Power Pivot Topic C: Create Power Pivots Topic D: Perform Advanced Data Analysis and Visualization |
| 10 | Lesson 10: Presenting Insights with Reports |
Topic A: Plan a Report Topic B: Create a Report |