Prerequisite: None
Course Outline
This course can also be delivered using Python.
While most people are familiar with data visualization in the context of business intelligence dashboards, this is only the tip of the iceberg. In this hands-on course, your team will learn to use visualizations the way data scientists use them – to get to the “why” of what’s going on in the business.
In this course, you will learn to use visualizations like histograms, scatter plots, and box plots to perform exploratory data analysis (EDA). EDA is not only a fundamental skill of data analysts/scientists; it’s also a fundamental skill of any data literate professional.
You will learn to use data visualizations to find patterns in data that provide insights into business questions like:
- Does paid conversion vary by age?
- How does component mix influence product lifespan?
- What are the trends in our sales over the past X years?
- Given the data, could we build a valuable machine learning model?
Via a series of hands-on labs, your team will craft powerful data visualizations using the ggplot2 library in R. This course is designed for a broad audience, and no prior knowledge of R programming is required.
The goal of this course is for your team to return to work and start employing these techniques to analyze data immediately.
Want to know the best part?
While the course uses R because it is free, all the concepts/techniques your team will learn are applicable to any tool you might use (e.g., Power BI, Tableau, Excel, etc.).
Your Team Will Learn
- Framing your analysis in terms of business questions
- How visualizations can be used to analyze data and get to the “why”
- Visual analysis techniques for numeric and categorical data
- Visual analysis techniques for data over time
- How to create data visualizations in R using ggplot2
- Increasing the power of your visual data analyses by adding dimensions
- Additional resources to continue learning
Geared To
- Business and data analysts
- Database developers
- BI/report developers
- Managers
- Anyone interested interested in visual data analysis
No prior skills in programming are required.
Laptop Setup
Attendees will need a laptop computer with specific software installed before the session. In advance of the class, attendees will receive detailed software download and installation instructions.