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.
- 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
Course Formats and Pricing – Introduction to R for Data Visualization and Exploration
Class will be held each day from 8:30 – 4:00 at the location provided above.
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.
Add instructor support for your self-paced class. 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.
You can also register for classes using our registration form.