This course is part of the Data Science on Microsoft Azure using R Programming ExpertTrack
Essential Mathematics for Data Science and Machine Learning: Using R
This course is not designed to make you a mathematician. Rather, it aims to help you learn some essential foundational concepts.
Duration
4 weeksWeekly study
6 hoursIncluded in an ExpertTrack
Course 5 of 6
Essential Mathematics for Data Science and Machine Learning: Using R
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
What topics will you cover?
- Familiarity with Equations, Functions, and Graphs
- Differentiation and Optimisation
- Vectors and Matrices
- Statistics and Probability
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Who is this accredited by?
This course is co-created and accredited by Microsoft
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Applied Familiarity with Equations, Functions, and Graphs
- Calculated Differentiation and Optimization
- Identified Vectors and Matrices
- Described Statistics and Probability
Who is the course for?
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
Who developed the course?
CloudSwyft Global Systems, Inc.
CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.
Start learning today - free 7-day trial
After your free trial you can:
- Pay $39 per month to keep learning online
- Have complete control over your subscription; you can cancel any time
- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
- Complete online assessments to test your knowledge and prove your skills
- Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
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Learning on FutureLearn
Your learning, your rules
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- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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