Discover the power of data visualization and analysis in this beginner-friendly course. Learn how to turn raw data into meaningful insights using R's visualization tools and Microsoft's development environment. Through hands-on practice, you'll learn to create engaging visualizations and understand basic statistical patterns, all while using AI assistance to enhance your learning.
Exploratory Data Analysis and Visualization
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Exploratory Data Analysis and Visualization
This course is part of Microsoft R Programming for Everyone Professional Certificate
Instructor: Microsoft
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
27 hours to complete
3 weeks at 9 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
8 assignments
Taught in English
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This course is part of the Microsoft R Programming for Everyone Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Microsoft
There are 5 modules in this course
Welcome to your first step in data exploration! In this module, you'll learn what EDA is and why it matters. You'll get hands-on experience with essential data preprocessing techniques using R's tidyverse packages, and learn how to clean and prepare data for analysis. Through practical, real-world datasets, you'll develop the fundamental skills needed to begin any data analysis project.
What's included
4 videos10 readings2 assignments3 ungraded labs2 plugins
In this module, you'll learn how to explore single variables and spot relationships between them. Using real healthcare data and ggplot2, you’ll practice creating clear, meaningful visualizations. You'll also get comfortable with concepts like distribution and correlation, tools that help you find and explain key patterns in your data.
What's included
4 videos3 readings2 assignments4 ungraded labs1 plugin
In this module, you’ll explore relationships across multiple variables and learn how to spot patterns in more complex, high-dimensional data. We’ll use tools like correlation heatmaps, scatter plot matrices, and PCA to help make sense of it all, especially when working with large datasets.
What's included
4 videos4 readings2 assignments4 ungraded labs2 plugins
In this module, you’ll learn how to turn your analysis into something people can actually see and understand. We’ll show you how to create interactive visuals with plotly, build polished reports using R Markdown, and follow simple but effective data storytelling tips. By the end, you’ll know how to communicate your insights clearly, whether you’re sharing with a colleague or presenting to a broader team.
What's included
4 videos5 readings2 assignments4 ungraded labs1 plugin
In this final lab, you’ll work with a realistic healthcare dataset and apply everything you’ve practiced. You’ll explore and communicate with data using visualizations, Markdown, multivariate analysis, and data processing. It’s a chance to bring all your skills together in one place.
What's included
1 video4 readings1 programming assignment2 ungraded labs1 plugin
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