Course Summary
In this capstone project course, you will apply various data science skills and techniques to analyze and visualize data with R. You will work on a real-world data project and create a data product that can be used to solve a real-world problem.Key Learning Points
- Learn to apply data science skills and techniques in R
- Work on a real-world data project
- Create a data product to solve a real-world problem
Job Positions & Salaries of people who have taken this course might have
- Data Scientist
- USA: $113,309
- India: ₹1,100,000
- Spain: €37,000
- Data Analyst
- USA: $67,377
- India: ₹579,000
- Spain: €20,000
- Business Intelligence Analyst
- USA: $71,983
- India: ₹673,000
- Spain: €24,000
Related Topics for further study
Learning Outcomes
- Apply data science skills and techniques in R to analyze and visualize data
- Work on a real-world data project to solve a real-world problem
- Create a data product that can be used in a business or industry setting
Prerequisites or good to have knowledge before taking this course
- Proficiency in R programming language
- Knowledge of data science techniques and concepts
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
Similar Courses
- Data Science Ethics
- Data Science Methodology
- Data Visualization with Tableau
Related Education Paths
Related Books
Description
R Programming Capstone
Outline
- Obtain and Clean the Data
- Welcome to the Capstone Project
- Introduction
- Module 1: Obtain and Clean the Data
- Building Geoms
- Module 2: Visualization Tools
- Building a Leaflet Map
- Module 3: Mapping Tools
- Documentation and Packaging
- Documentation and Packaging Tasks
- Testing
- Deployment
- GitHub and Travis
- Final Assessment
Summary of User Reviews
The R Capstone Project course on Coursera has received positive reviews from students. The course is highly recommended for those who want to learn R programming language with practical applications. Many students appreciated the hands-on project-based approach of the course.Key Aspect Users Liked About This Course
Hands-on project-based approachPros from User Reviews
- Practical applications of R programming language
- Instructor support and feedback
- Engaging and challenging projects
- Opportunity to work on real-world datasets
Cons from User Reviews
- Some concepts may be difficult to grasp for beginners
- Course material may not be well-organized
- Lack of explanation on some advanced topics
Roger D. Peng, PhD
4 Raiting
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