Data Science Capstone Project
Complete a comprehensive data science project showcasing R programming skills in analysis, visualization, and machine learning.
Complete a comprehensive data science project showcasing R programming skills in analysis, visualization, and machine learning.
Apply your data science expertise in this hands-on capstone project. Demonstrate mastery of R programming through real-world data analysis, covering visualization, probability, inference, modeling, and machine learning. Create a portfolio-worthy data product with minimal instructor guidance.
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What you'll learn
Apply comprehensive data science skills to a real-world problem
Create a portfolio-worthy data analysis project
Demonstrate expertise in R programming and data visualization
Implement advanced statistical and machine learning techniques
Develop independent problem-solving abilities in data science
Produce professional-quality data analysis documentation
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This capstone course represents the culmination of Harvard's Professional Certificate Program in Data Science. Students undertake an independent data analysis project that tests their comprehensive skills in R programming, data visualization, statistical inference, data wrangling, and machine learning. Unlike previous courses in the series, this project emphasizes independent work with minimal instructor guidance. The course provides an opportunity to create a substantial data product that demonstrates expertise in data science, valuable for career advancement or academic pursuits.
Fee Structure
Instructor
32 Courses
Harvard Biostatistics Professor and Genomics Data Analysis Pioneer
Rafael Irizarry is a distinguished Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and Professor of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute. His expertise spans genomics, data analysis, and the R programming language. Irizarry's career has been marked by significant contributions to the field of genomics data analysis over the past two decades
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4.4 course rating
54 ratings
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