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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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Data Science Capstone Project

This course includes

2 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

12,272

Audit For Free

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

Data Science
R Programming
Machine Learning
Data Analysis
Data Visualization
Statistics
Probability
Data Wrangling
Data Modeling

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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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

Senior Lecturer in Public Leadership at Harvard Kennedy School

Ronald Heifetz is among the world's foremost authorities on the practice and teaching of leadership. He speaks extensively and advises heads of governments, businesses, and nonprofit organizations across the globe. In 2016, President Juan Manuel Santos of Colombia highlighted Heifetz's advice in his Nobel Peace Prize Lecture. Heifetz founded the Center for Public Leadership at Harvard Kennedy School where he has taught for nearly four decades. He is the King Hussein bin Talal Senior Lecturer in Public Leadership. Heifetz played a pioneering role in establishing leadership as an area of study and education in the United States and at Harvard. His research addresses two challenges: developing a conceptual foundation for the analysis and practice of leadership; and developing transformative methods for leadership education, training, and consultation. Heifetz co-developed the adaptive leadership framework with Riley Sinder and Marty Linsky to provide a basis for leadership research and practice. His first book, Leadership Without Easy Answers (1994), is a classic in the field and one of the ten most assigned course books at Harvard and Duke Universities. Heifetz co-authored the best-selling Leadership on the Line: Staying Alive through the Dangers of Change with Marty Linsky, which serves as one of the primary go-to books for practitioners across sectors (2002, revised 2017). He then co-authored the field book, The Practice of Adaptive Leadership: Tools and Tactics for Changing your Organization and the World with Alexander Grashow and Marty Linsky (2009). Heifetz began his focus on transformative methods of leadership education and development in 1983. Drawing students from throughout Harvard's graduate schools and neighboring universities, his courses on leadership are legendary; his core course is considered the most influential in their career by Kennedy School alumni. His teaching methods have been studied extensively in doctoral dissertations and in Leadership Can Be Taught by Sharon Daloz Parks (2005). A graduate of Columbia University, Harvard Medical School, and the Kennedy School, Heifetz is both a physician and cellist. He trained initially in surgery before deciding to devote himself to the study of leadership in public affairs, business, and nonprofits. Heifetz completed his medical training in psychiatry, which provided a foundation to develop more powerful teaching methods and gave him a distinct perspective on the conceptual tools of political psychology and organizational behavior. As a cellist, he was privileged to study with the great Russian virtuoso, Gregor Piatigorsky.

Data Science Capstone Project

This course includes

2 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

12,272

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.