Overview
This Data Visualization and Dashboarding with R Specialization is offered by Coursera in partnership with Johns Hopkins University.
Skills you'll gain
- Data Manipulation
- Data Import/Export
- Tidyverse (R Package)
- R Programming
Key facts
- This Specialization is intended for learners seeking to develop the ability to visualize data using R.
- Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.
Applied Learning Project
- Learners will generate many different types of visualizations to explore data, from simple figures like bar plots and scatter plots to interactive dashboards.
- Learners will integrate these figures into reproducible research products and share them online.
Programme Structure
Courses included:
- Getting Started with Data Visualization in R
- Data Visualization in R with ggplot2
- Advanced Data Visualization with R
- Publishing Visualizations in R with Shiny and flexdashboard
- Data Visualization Capstone
Key information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Data Science & Big Data Data Analytics View 460 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- Learners should be comfortable with moving files around on their computers and have basic spreadsheeting skills
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.