Course Summary
The Data Science Capstone project is the final project in the Data Science specialization offered by Johns Hopkins University. In this project, students will apply the knowledge and skills they have gained throughout the specialization to a real-world problem or data set.Key Learning Points
- Students will work on a realistic data science project from start to finish
- They will learn how to apply their data science skills to real-world problems
- The project will serve as a portfolio piece to showcase their skills to potential employers
Related Topics for further study
Learning Outcomes
- Ability to apply data science skills to real-world problems
- Creation of a portfolio-worthy data science project
- Improved job prospects in the data science field
Prerequisites or good to have knowledge before taking this course
- Completion of the Data Science specialization
- Background in statistics, machine learning, and data analysis
Course Difficulty Level
AdvancedCourse Format
- Project-based
- Self-paced
Similar Courses
- Applied Data Science Capstone
- Data Science Ethics
- Data Science Methodology
Related Education Paths
Related Books
Description
In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaboration with Coursolve, each Capstone project is associated with partner stakeholders who have a vested interest in your results and are eager to deploy them in practice. These projects will not be straightforward and the outcome is not prescribed -- you will need to tolerate ambiguity and negative results! But we believe the experience will be rewarding and will better prepare you for data science projects in practice.
Outline
- Project A: Blight Fight
- Get the Data
- Understand the Domain
- Week 2: Derive a list of buildings
- Milestone: Create a list of "buildings" from a list of geo-located incidents
- Week 3: Construct a training dataset
- Milestone: Derive labels for each building
- Week 4: Train and evaluate a simple model
- Milestone: Train a Simple Model
- Week 5: Feature Engineering
- Milestone: Adding more features
- Week 6: Final Report
Summary of User Reviews
The Data Science Capstone course on Coursera is highly-rated and provides a comprehensive overview of data science for learners of all levels. Many users appreciated the hands-on approach to learning and the real-world project at the end of the course.Key Aspect Users Liked About This Course
Hands-on approach to learningPros from User Reviews
- Comprehensive overview of data science
- Real-world project at the end of the course
- Great for learners of all levels
Cons from User Reviews
- Some users found the course to be too challenging
- Course material can be slightly outdated
- Limited interaction with instructors
Bill Howe
4.1 Raiting
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