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Overview
Projects of the Data Science Capstone course offered by Coursera in partnership Johns Hopkins University will be drawn from real-world problems and will be conducted with industry, government, and academic partners.
What you will learn
- Create a useful data product for the public
- Apply your exploratory data analysis skills
- Build an efficient and accurate prediction model
- Produce a presentation deck to showcase your findings
Programme Structure
Courses include:
- Overview, Understanding the Problem, and Getting the Data
- Exploratory Data Analysis and Modeling
- Prediction Model
- Creative Exploration
- Data Product
- Slide Deck
- Final Project Submission and Evaluation
Key information
Duration
- Part-time
- 1 months
- 1 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Machine Learning View 468 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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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
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
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.
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