DATA-VIS-XLS.AD1
Data Analysis and Visualization with Excel
You’re too smart to settle for boring spreadsheets! From PivotTables to sleek dashboards, we’ve got you covered.
- Practice in 33 Hands-On Labs — nothing to install
- 11 Interactive Lessons and 41 topics mapped to the official exam objectives
- 97 Practice Test Questions
Intermediate Self-paced · 1 year access 4.5/5 (303 Reviews)
33 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
11Interactive Lessons
41Topics
33LiveLab
97Practice Test Questions
124Flashcards
124Glossary of terms
01 / Skills you'll get
What you will be able to do
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No credit card required
This Excel data analysis and visualization course is your backstage pass to developing the advanced analytical skills required for career progression. You’ll learn how to build dynamic PivotTables, craft eye-catching charts, and design interactive dashboards that impress. In this advanced course, we’ll walk you through powerful tools like Power Query and Power Pivot to improve your skills and transform raw data into crystal-clear insights.
- Create, modify, sort, and filter tables for Excel skill development
- Design and format charts, graphs, and visual elements to present data effectively
- Learn Excel functions like lookup and logical functions for efficient data analysis
- Create and analyze data with PivotTables and visualize insights with PivotCharts
- Build interactive dashboards with slicers, timelines, and other visualization tools
- Create and customize map charts to analyze geographic data
- Use Excel’s trendlines, sparklines, and Data Analysis ToolPak for statistical insights
- Connect, clear, and transform data from various sources using Power Query
- Develop complex data models and perform advanced data analysis with Power Pivot
- Design professional reports and templates for presenting insights and data findings
Course Highlights
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11 Structured Lessons Comprehensive coverage of core course objectives
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33 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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97 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
11 Interactive Lessons · 41 topics01 Introduction 3 topics +
- Course Description
- How to Use This Course
- Course-Specific Technical Requirements
02 Data Analysis Fundamentals 4 topics · 3 LiveLab +
- Topic A: Introduction to Data Science
- Topic B: Create and Modify Tables
- Topic C: Sort and Filter Data
- Summary
3 LiveLab in this lesson — see the labs panel →
03 Visualizing Data with Excel 4 topics · 3 LiveLab +
- Topic A: Visualize Data with Charts
- Topic B: Modify and Format Charts
- Topic C: Apply Best Practices in Chart Design
- Summary
3 LiveLab in this lesson — see the labs panel →
04 Analyzing Data with Formulas and Functions 5 topics · 6 LiveLab +
- 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
- Summary
6 LiveLab in this lesson — see the labs panel →
05 Analyzing Data with PivotTables 3 topics · 2 LiveLab +
- Topic A: Create a PivotTable
- Topic B: Analyze PivotTable Data
- Summary
2 LiveLab in this lesson — see the labs panel →
06 Presenting Visual Insights with Dashboards in Excel 4 topics · 4 LiveLab +
- Topic A: Visualize Data with PivotCharts
- Topic B: Filter Data Using Slicers and Timelines
- Topic C: Create a Dashboard in Excel
- Summary
4 LiveLab in this lesson — see the labs panel →
07 Creating Geospatial Visualizations with Excel 3 topics · 2 LiveLab +
- Topic A: Create Map Charts in Excel
- Topic B: Customize Map Charts in Excel
- Summary
2 LiveLab in this lesson — see the labs panel →
08 Performing Statistical Analysis 3 topics · 4 LiveLab +
- Topic A: Visualize Trendlines and Sparklines with Excel
- Topic B: Analyze Data with the Data Analysis ToolPak
- Summary
4 LiveLab in this lesson — see the labs panel →
09 Getting and Transforming Data 4 topics · 2 LiveLab +
- Topic A: Connect to Data with Queries
- Topic B: Clean and Combine Data
- Topic C: Shape and Transform Data
- Summary
2 LiveLab in this lesson — see the labs panel →
10 Modeling and Analyzing Data with Power Pivot 5 topics · 5 LiveLab +
- 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
- Summary
5 LiveLab in this lesson — see the labs panel →
11 Presenting Insights with Reports 3 topics · 2 LiveLab +
- Topic A: Plan a Report
- Topic B: Create a Report
- Summary
2 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
33 LiveLabs- Analyzing Data
- Creating and Modifying a Table
- Sorting and Filtering Data
- Creating Charts
- Modifying and Formatting Charts
- Applying the Best Practices of Chart Design
- Analyzing Data Using Formulas
- Analyzing Data Using Functions
- Working with Logical Functions
- Implementing Data Validation
- Implementing Form Controls
- Using LOOKUP Functions
- Creating PivotTables
- Analyzing the PivotTable Data
- Visualizing Data with PivotCharts
- Filtering Data Using Slicers
- Filtering Data Using Timelines
- Creating a Dashboard in Excel
- Creating Map Charts in Excel
- Formatting and Customizing Map Charts
- Visualizing Trendlines in Excel
- Visualizing Sparklines in Excel
- Installing and Activating the Data Analysis ToolPak
- Performing Statistical Analysis with the Data Analysis ToolPak
- Connecting to Data with Microsoft Power Query
- Cleaning and Combining Data using the Power Query Editor
- Installing and Activating Power Pivot
- Creating Data Models with Power Pivot
- Creating Power Pivots
- Creating a KPI
- Creating a New Perspective
- Creating a Report in Excel
- Creating a Template of a Report
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
Is Excel good for advanced data analysis?+
Yes! Excel’s advanced tools like Power Query, Power Pivot, and the Data Analysis ToolPak allow users to perform complex data transformations, and statistical analyses, and create sophisticated data models.
What is the difference between Power Query and Power Pivot in Excel?+
Power Query is used to connect, clear, and transform data from different sources, while Power Pivot allows you to create advanced data models and perform complex calculations on large datasets.
How do you analyze data in Excel using PivotTables?+
To analyze data with PivotTables, organize your data, drag and drop fields to summarize, filter, and sort large datasets, making it easier to extract meaningful insights.
What career opportunities are available for Excel data analysts?+
Excel data analysts can pursue careers in fields like business analysis, financial analysis, data science, and marketing analytics. Roles include Data Analysts, Business Intelligence Analysts, and Financial Analysts.
What is the average salary of a data analyst with Excel skills?+
The average salary for a data analyst with advanced Excel skills in the U.S. ranges from $55,000 to $80,000 per year, depending on experience, location, and industry.
Learn Excel Data Science Essentials
Receive data analysis Excel training to stand out in a competitive job market where your analytical skills make a real impact!
- 1 year of full access
- 33 LiveLab included
- Certificate of completion
No credit card required