eLearnAfrica
Essential Mathematics for Data Science and Machine Learning: Using R
CloudSwyft Global Systems, Inc.
  • Start Date: 25 Jan, 2021
  • 4 weeks
  • Study Content: Videos


This course is not designed to make you a mathematician. Rather, it aims to help you learn some essential foundational concepts.

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

This course is made available through the eLearnAfrica and FutureLearn partnership.

This course is designed to help you get up to speed on the key concepts and notation on which machine learning an AI are based. This course is not a full math curriculum. It’s not designed to replace school or college math education. Instead, it focuses on the key mathematical concepts that you’ll encounter in studies of machine learning.


We’ll start with some basic algebra to get started with equations and functions, then we’ll dive into some differential calculus to explore derivatives and optimisation. We’ll also look at some linear algebra and cover vectors and matrices, before finally getting to grips with some statistics and probability.


On completion of this course, you will be able to:


Apply basic Mathematical principles required in Data Analytics
Demonstrate your understanding of Algebra Fundamentals
Demonstrate your understanding of Quadratic Equations and Functions
Demonstrate understanding of Differential Calculus Foundations
Demonstrate understanding of Vectors and Matrices
Demonstrate understanding of Statistics and Probability


This course is designed to fill the gaps for students who missed the key concepts as part of their formal education, or who need to refresh their memories after a long break from studying math.


Individuals in the following roles will also find this course useful:


Data Analysts
Programmers


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

CloudSwyft Global Systems, Inc.

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

This institution is available on eLearnAfrica through partnership with 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.
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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.

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Effective Date: September 22, 2016