Weekly study5 hours
Included in an ExpertTrackCourse 4 of 5
Get full ExpertTrack access$39/month
Mathematics for Data Science: Essential Mathematics for Machine Learning and AI
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.
- 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
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.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
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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...
- 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
- 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