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Essential Tools for Data Science Workflow

Master key productivity tools for data science: Unix/Linux, Git, GitHub, and RStudio to organize projects and create reproducible reports.

Master key productivity tools for data science: Unix/Linux, Git, GitHub, and RStudio to organize projects and create reproducible reports.

This practical course teaches essential productivity tools for modern data science workflows. Students learn to manage files and directories using Unix/Linux, implement version control with Git, collaborate through GitHub, and create reproducible reports with R Markdown in RStudio. The course focuses on organizing data analysis projects efficiently, tracking changes in scripts and reports, and facilitating collaboration in data science projects through proper tool usage and best practices.

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Essential Tools for Data Science Workflow

This course includes

8 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

12,275

Audit For Free

What you'll learn

  • Master Unix/Linux commands for efficient file system management

  • Implement version control effectively using Git

  • Create and maintain project repositories on GitHub

  • Utilize RStudio's features for enhanced productivity

  • Generate reproducible reports using R Markdown

  • Organize data analysis projects efficiently

Skills you'll gain

Unix/Linux
Git
GitHub
RStudio
Version Control
R Markdown
File Management
Data Science Tools

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Module Description

This course equips data scientists with essential productivity tools and workflows. The curriculum covers fundamental skills in Unix/Linux file management, version control with Git, collaboration through GitHub, and report generation using R Markdown in RStudio. Students learn to organize complex data analysis projects, maintain version control of their work, and create reproducible reports. The course emphasizes practical applications and best practices for efficient data science project management.

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.

Essential Tools for Data Science Workflow

This course includes

8 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

12,275

Audit For Free

Testimonials

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Frequently asked questions

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