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Mathematics for Data Science: Essential Mathematics for Machine Learning and AI

Learn the mathematical foundations required to put you on your career path as a machine learning engineer or AI professional.

Mathematics for Data Science: Essential Mathematics for Machine Learning and AI
  • Duration4 weeks
  • Weekly study5 hours
  • Included in an ExpertTrackCourse 4 of 5
  • Get full ExpertTrack access$39/monthFind out more
  • AccreditationAvailableMore info

A solid foundation in mathematical knowledge is vital for the development of artificial intelligence (AI) systems. What are the key maths skills required to study machine learning and AI?

If you haven’t studied mathematics since school and have forgotten what you’ve learned, this primer course will provide you with the education you need.

What mathematics do I need to know to launch a career in artificial intelligence?

The course will cover the three main branches of mathematics used in data science and artificial intelligence: linear algebra, calculus and probability. You’ll get to learn the essential topics of each of these three areas – from equations, functions and graphs to differentiation and optimisation and vectors and matrices.

Having mastered these concepts and techniques, you’ll have the foundational knowledge to kickstart your machine learning career.

What topics will you cover?

  • Algebra Fundamentals
  • Quadratic Equations and Functions
  • Differential Calculus Foundations
  • Differentiation and Derivatives
  • Vectors and Vector Multiplications
  • Matrix Multiplications and Transformations
  • Probability Basics
  • Sampling and Sampling Distributions

Prove you're job ready

Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.

  • Learn the latest in your chosen industry or subject.
  • Complete each course and pass assessments.
  • Receive certificates validated by the educating organisation.
  • Create a shareable certificate link for your CV and LinkedIn.
  • Impress employers with learning outcomes you can add to your CV.
  • Make your career dreams a reality.

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Who is this accredited by?

Microsoft
Microsoft:

This course is accredited by Microsoft

What will you achieve?

By the end of the course, you‘ll be able to...

  • Developed Equations, Functions, and Graphs
  • Applied Differentiation and Optimization
  • Designed Vectors and Matrices
  • Applied Statistics and Probability

Who is the course for?

The course is ideal for anyone who wishes to learn the core mathematics techniques and concepts required to help with their career in AI, machine learning and data science.

You may be planning to study in these areas, or you may be a student looking to improve your knowledge. * Equations, Functions and Graphs * Differentiation and Optimization * Vectors and Matrices * Statistics and Probability

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.

About this ExpertTrack

Develop AI Engineering skills using Microsoft Azure, on the path to role-based certifications.

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
  • 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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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
  • Keep access to the content of courses you complete even after your subscription ends
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