eLearnAfrica
Introduction to Data Science for Educators
University of California, Riverside
  • Start Date: 14 Mar, 2022
  • 8 weeks
  • Study Content: Videos


Master the basics of data science and learn how to use this knowledge to enhance your teaching practices.

Course Fee: Free
Certificate Cost: See Fees and Eligibility
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Course Description

Learn how to apply data science to different teaching disciplines


This eight-week course will help you grasp the core concepts of data science. With this knowledge, you’ll be able to understand and teach more specialised topics to your students.


You’ll also gain a deep understanding of the application of data science in STEM disciplines, learn how to teach similar courses, and discover how you can utilise data science in your curriculum.


Delve into database management, data mining, and integration


Raw data is collected by organisations every day. The data goes through multiple key steps before it can be used for research, marketing, and other purposes.


On this course, you’ll learn the tools and processes used to organise and convert data. With this knowledge, you’ll have the skills to manipulate data at a beginner’s level.


Develop an understanding of machine learning and effective data visualisation


Machine learning and data visualisation are essential parts of the data science process which contribute to the analysis and representation of data.


Both processes can be quite complex, making use of high-level tools and operations. The course will help you expand your understanding of these integral processes to ensure you can teach these advanced topics


Learn from the experts at the University of California, Riverside


You’ll be guided by Professor Bahram Mobasher who developed the online Master of Science in Engineering – Data Science at UCR.


Armed with your foundational knowledge and skills in data science, you’ll be able to guide your students in the subject and lead brilliant young innovators into a promising career path.


This course is designed for educators interested in learning introductory data science, as well as administrators developing data science pathways for students.


It is also suitable for educators who have completed computer science and maths credentials.


    • Certificate cost may vary. You will be redirected to the host page for cost and payment options.

    • University of California, Riverside

      This university is part of the partnership between eLearnAfrica and FutureLearn.

    • You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
    • COLLABORATION POLICY

      By enrolling in a course on or through eLearnAfrica, you are joining a special worldwide community of learners. The aspiration of eLearnAfrica is to provide anyone with an internet connection access to courses from the best universities and institutions in the world and to provide our learners the best educational experience internet technology enables. You are a part of the community that will help eLearnAfrica achieve this goal. eLearnAfrica depends upon your motivation to learn the material and to do so with honesty and academic integrity. In order to participate in eLearnAfrica, you must agree to the Honor Code below and any additional terms specific to a class.

      ELEARNAFRICA HONOR CODE PLEDGE

      By enrolling in a course, program, or degree hosted on the eLearnAfrica App or Site, I agree that I will:

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      No refunds will be issued in the case of any corrective action for such violations.

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      CHANGING THE HONOR CODE

      Please note that we review and may make changes to this Honor Code from time to time. Any changes to this Honor Code will be effective immediately upon posting on this page, with an updated effective date. By accessing the App and/or Site after any changes have been made, you signify your agreement on a prospective basis to the modified Honor Code and any changes contained therein. Be sure to return to this page periodically to ensure familiarity with the most current version of this Honor Code.

      Effective Date: September 22, 2016