Excel Dashboards
Description:
Today's world runs on data more than ever before and that's a trend not likely to change, or even slow down, any time soon. With the tremendous amount of available data, the ability to make sense of it continues to be an ongoing challenge. You already know how to use Excel to perform simple calculations and modify worksheets to make them easier to read, interpret, and present to others. But Excel is capable of doing so much more.
To gain a truly competitive edge, you need to be able to extract actionable organizational intelligence from your raw data, and present it in a visually compelling format that enables decision makers to view key trends and gain insights. And that's exactly what this course aims to help you do.
Outline:
Lesson 1: Data Analysis Fundamentals
Topic A: Introduction to Data Science
Topic B: Create and Modify Tables
Topic C: Sort and Filter Data
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
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
Lesson 4: Analyzing Data with PivotTables
Topic A: Create a PivotTable
Topic B: Analyze PivotTable Data
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
Appendix A: Using Lookup Functions
Scheduled Courses
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Today's world runs on data more than ever before and that's a trend not likely to change, or even slow down, any time soon. With the tremendous amount of available data, the ability to make sense of it continues to be an ongoing challenge. You already know how to use Excel to perform simple calculations and modify worksheets to make them easier to read, interpret, and present to others. But Excel is capable of doing so much more.
To gain a truly competitive edge, you need to be able to extract actionable organizational intelligence from your raw data, and present it in a visually compelling format that enables decision makers to view key trends and gain insights. And that's exactly what this course aims to help you do.
\nOutline:
\nLesson 1: Data Analysis Fundamentals
Topic A: Introduction to Data Science
Topic B: Create and Modify Tables
Topic C: Sort and Filter Data
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
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
Lesson 4: Analyzing Data with PivotTables
Topic A: Create a PivotTable
Topic B: Analyze PivotTable Data
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
Appendix A: Using Lookup Functions
- \n
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\n
Today's world runs on data more than ever before and that's a trend not likely to change, or even slow down, any time soon. With the tremendous amount of available data, the ability to make sense of it continues to be an ongoing challenge. You already know how to use Excel to perform simple calculations and modify worksheets to make them easier to read, interpret, and present to others. But Excel is capable of doing so much more.
To gain a truly competitive edge, you need to be able to extract actionable organizational intelligence from your raw data, and present it in a visually compelling format that enables decision makers to view key trends and gain insights. And that's exactly what this course aims to help you do.
\nOutline:
\nLesson 1: Data Analysis Fundamentals
Topic A: Introduction to Data Science
Topic B: Create and Modify Tables
Topic C: Sort and Filter Data
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
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
Lesson 4: Analyzing Data with PivotTables
Topic A: Create a PivotTable
Topic B: Analyze PivotTable Data
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
Appendix A: Using Lookup Functions
- \n