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Course Description

When you think about what data analysts and data scientists do on a day-to-day basis, you might have a general understanding of types of conclusions they make, but how do they arrive at those conclusions? The statistical programming language R is widely used in data science; understanding the basics of how it works can help you manipulate and visualize data in a quick, flexible manner, and it may improve your communication with data scientists on your team.

In this course, you will explore the basics of statistical programming and develop R skills. As you hone your ability to use commands in R, you will combine those basic skills to complete more complex tasks, such as data manipulation and visualization. Finally, you will examine how to repeat tasks in R, which makes it easier to manipulate large data sets. This course involves many hands-on coding exercises to help you gain confidence in your newfound programming skills.

System requirements: This course contains a virtual programming environment that does not support the use of Safari, Edge, tablets, or mobile devices. Please use Chrome, Firefox, or Internet Explorer on a computer for this course.

Faculty Author

Jeremy Entner

Benefits to the Learner

  • Perform basic mathematical operations, create sets of data, and use built-in R functions
  • Bring data into your RStudio workspace and modify it
  • Visualize data by making customizable plots
  • Use code to repeat processes and select samples from your data

Target Audience

  • Current and aspiring data scientists and analysts
  • Business decision makers
  • Marketing analysts
  • Consultants
  • Executives
  • Anyone seeking to gain deeper exposure to data science

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Oct 30, 2024 to Nov 12, 2024
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
Type
2 week
Dates
Dec 11, 2024 to Dec 24, 2024
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
Type
2 week
Dates
Jan 22, 2025 to Feb 04, 2025
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
Type
2 week
Dates
Mar 05, 2025 to Mar 18, 2025
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
Type
2 week
Dates
Apr 16, 2025 to Apr 29, 2025
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
Type
2 week
Dates
May 28, 2025 to Jun 10, 2025
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
Type
2 week
Dates
Jul 23, 2025 to Aug 05, 2025
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
Type
2 week
Dates
Sep 17, 2025 to Sep 30, 2025
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
Type
2 week
Dates
Nov 12, 2025 to Nov 25, 2025
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Please note the content in the Data Science Essentials course curriculum was developed to be completed in sequential order as course concepts build throughout the program. With this in mind, please be sure you are scheduled to complete or have completed the courses in order. For example; CIS445 prior to CIS446, CIS446 prior to CIS447, etc.
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