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.
(DATA-VIS-XLS.AD1) / ISBN : 978-1-64459-259-5About This Course
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.
Skills You’ll Get
- 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
Get the support you need. Enroll in our Instructor-Led Course.
Interactive Lessons
11+ Interactive Lessons | 100+ Quizzes | 124+ Flashcards | 124+ Glossary of terms
Gamified TestPrep
60+ Pre Assessment Questions | 59+ Post Assessment Questions |
Hands-On Labs
33+ LiveLab | 33+ Video tutorials | 01:44+ Hours
Introduction
- Course Description
- How to Use This Course
- Course-Specific Technical Requirements
Data Analysis Fundamentals
- Topic A: Introduction to Data Science
- Topic B: Create and Modify Tables
- Topic C: Sort and Filter Data
- Summary
Visualizing Data with Excel
- Topic A: Visualize Data with Charts
- Topic B: Modify and Format Charts
- Topic C: Apply Best Practices in Chart Design
- Summary
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
- Summary
Analyzing Data with PivotTables
- Topic A: Create a PivotTable
- Topic B: Analyze PivotTable Data
- Summary
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
- Summary
Creating Geospatial Visualizations with Excel
- Topic A: Create Map Charts in Excel
- Topic B: Customize Map Charts in Excel
- Summary
Performing Statistical Analysis
- Topic A: Visualize Trendlines and Sparklines with Excel
- Topic B: Analyze Data with the Data Analysis ToolPak
- Summary
Getting and Transforming Data
- Topic A: Connect to Data with Queries
- Topic B: Clean and Combine Data
- Topic C: Shape and Transform Data
- Summary
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
- Summary
Presenting Insights with Reports
- Topic A: Plan a Report
- Topic B: Create a Report
- Summary
Data Analysis Fundamentals
- Analyzing Data
- Creating and Modifying a Table
- Sorting and Filtering Data
Visualizing Data with Excel
- Creating Charts
- Modifying and Formatting Charts
- Applying the Best Practices of Chart Design
Analyzing Data with Formulas and Functions
- Analyzing Data Using Formulas
- Analyzing Data Using Functions
- Working with Logical Functions
- Implementing Data Validation
- Implementing Form Controls
- Using LOOKUP Functions
Analyzing Data with PivotTables
- Creating PivotTables
- Analyzing the PivotTable Data
Presenting Visual Insights with Dashboards in Excel
- Visualizing Data with PivotCharts
- Filtering Data Using Slicers
- Filtering Data Using Timelines
- Creating a Dashboard in Excel
Creating Geospatial Visualizations with Excel
- Creating Map Charts in Excel
- Formatting and Customizing Map Charts
Performing Statistical Analysis
- Visualizing Trendlines in Excel
- Visualizing Sparklines in Excel
- Installing and Activating the Data Analysis ToolPak
- Performing Statistical Analysis with the Data Analysis ToolPak
Getting and Transforming Data
- Connecting to Data with Microsoft Power Query
- Cleaning and Combining Data using the Power Query Editor
Modeling and Analyzing Data with Power Pivot
- Installing and Activating Power Pivot
- Creating Data Models with Power Pivot
- Creating Power Pivots
- Creating a KPI
- Creating a New Perspective
Presenting Insights with Reports
- Creating a Report in Excel
- Creating a Template of a Report
Any questions?Check out the FAQs
Satisfy your curiosity with our dedicated FAQ section on Excel data analysis and visualization.
Contact Us NowYes! 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.
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.
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.
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.
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.