Overview
A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. The Developing Data Products course offered by Coursera in partnership Johns Hopkins University will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.
What you will learn
- Develop basic applications and interactive graphics using GoogleVis
- Use Leaflet to create interactive annotated maps
- Build an R Markdown presentation that includes a data visualization
- Create a data product that tells a story to a mass audience
Programme Structure
Courses include:
- Shiny, GoogleVis, and Plotly
- R Markdown and Leaflet
- R Packages
- Swirl and Course Project
Key information
Duration
- Part-time
- 1 months
- 3 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Data Science & Big Data Machine Learning View 463 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
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Audit: free access to course materials except graded items
- Certificate: a trusted way to showcase your skills
- A year of unlimited access with Coursera Plus $399
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.