RiseUpp Logo
Educator Logo

The Data Scientist's Toolbox

Master essential tools for data science: R, RStudio, Git, and GitHub. Perfect foundation for aspiring data scientists starting their journey.

Master essential tools for data science: R, RStudio, Git, and GitHub. Perfect foundation for aspiring data scientists starting their journey.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.6

(33,901 ratings)

7,45,940 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

Powered by

Provider Logo
The Data Scientist's Toolbox

This course includes

18 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Set up and configure R, RStudio, Git, and GitHub

  • Create and manage version control for data science projects

  • Understand fundamental data science concepts and terminology

  • Use R Markdown for reproducible research documentation

  • Apply scientific thinking to data analysis problems

Skills you'll gain

R Programming
GitHub
Version Control
Data Analysis
RStudio
Scientific Thinking
Big Data
R Markdown
Data Science Fundamentals
Tool Setup

This course includes:

2.25 Hours PreRecorded video

21 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Closed caption

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 4 modules in this course

This foundational course introduces the essential tools and concepts needed in data science. Students learn to set up and use key software including R, RStudio, Git, and GitHub for version control. The curriculum covers data science fundamentals, from understanding different types of data and questions to experimental design and big data concepts. Through hands-on practice, learners develop proficiency with R Markdown and learn how to organize and manage data science projects effectively.

Data Science Fundamentals

Module 1 · 4 Hours to complete

R and RStudio

Module 2 · 4 Hours to complete

Version Control and GitHub

Module 3 · 3 Hours to complete

R Markdown, Scientific Thinking, and Big Data

Module 4 · 5 Hours to complete

Fee Structure

Instructors

Brian Caffo
Brian Caffo

4.7 rating

20 Reviews

16,23,662 Students

30 Courses

Expert in Biostatistics and Neuroinformatics

Brian Caffo, PhD, is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He earned his PhD in Statistics from the University of Florida in 2001. Specializing in computational statistics and neuroinformatics, he co-created the SMART working group

Jeff Leek, PhD
Jeff Leek, PhD

4.7 rating

236 Reviews

16,66,593 Students

32 Courses

Chief Data Officer and J Orin Edson Foundation Chair at Fred Hutchinson Cancer Center

Dr. Jeff Leek serves as the Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. He earned his PhD in Biostatistics from the University of Washington and is known for his significant contributions to genomic data analysis and statistical methods for personalized medicine. His research has advanced our understanding of molecular mechanisms related to brain development, stem cell self-renewal, and immune responses to trauma, with findings published in top scientific journals such as Nature and Proceedings of the National Academy of Sciences. Dr. Leek developed a highly acclaimed Data Analysis course for Biostatistics students at Johns Hopkins, which has consistently received teaching excellence awards. He is also recognized for his efforts in creating educational initiatives that leverage data science for public health and economic development, including massive open online courses that have engaged millions worldwide.

The Data Scientist's Toolbox

This course includes

18 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.6 course rating

33,901 ratings

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.