Introduction to R for Data Visualization and Exploration: Charts, Maps, and Graphs
Module 1: Introduction to R
Module 2: Loading Data into R
Module 3: Creating Tidy Data
Module 4: Transforming Data
Module 5: Data Exploration
Module 6: Data Visualization (Charts and Graphs)
Module 7: Spatial Visualization
Module 8: R Markdown
Module 9: Case Studies
Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm.
From government and universities to new start-ups and big tech like Google or Microsoft, the use of R big data and data science has become a standard tool. R is a simple and powerful language, but, it can be slow and inefficient if not used properly. This class introduces you to the foundations of R programming, but also focuses on the efficiency of data processing.
This course will allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data visualization in chart, graph, and map formats. The student will learn the language and applications through examples and practice. No prior programming skills are required.
Live Online Classes
None at this time
Our live-online classes are conducted from 9:30 – 5:00 each day. Classes are delivered via GoToTraining. You will receive an email containing login instructions for the GoToTraining session on the Wednesday before class begins.
In Person Classes
None at this time.
Add instructor support for this class below for $100. Support is provided by email, chat sessions, or phone.
Our self-paced classes are delivered through our online training platform. You will be emailed instructions for creating a login and activating your course. All lectures are pre-recorded so you can progress through the course at your own pace. The same applies to the exercise. The course does not have an expiration date.
Don’t want to purchase online? You can also register for classes using our registration form.
Knowledgeable instructor, well paced class, applicable information covered, hands-on style.
Brandon Clark, Alabama Power
I strongly and highly recommend it
Matt Gubitosa, U.S. EPA
I really enjoyed the Python/ArcGIS course. For me the right balance between detail and overview. Good work!
Pal Herman Sund
I thought the course was very organized. The style of presentation and the lesson format worked well together. It made the information easy to understand. -
Kyle Lockhart, Escambia County, FL
Class was well organized, well paced and I learned a lot.
Aleeta Zeller, Chattanooga RPA
These courses are great. I am so pressed for time this is the only way I can acquire extra skills these days. Thank you Eric for all your hard work!
Chris Hickin, NYC Fire Dept.
Jason Warzinik, Boone County, MO
Really good course material. Very relevant subject matter.
Michael Philp, City of Springville, UT
Definitely got me "over the hump" of being able to grasp Python.
Very informative and knowledgeable course. It help determine which direction I should take my further GIS and web programming skills.
Chris Pollard, Delaware Valley Regional Planning Commission
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