Course overview
The exceptional development of new hardware dedicated to high-performance mathematical computations, and the parallel availability of large data sets due to the rise of the internet, has made viable the field of data analytics, where large quantities of data can be handled and studied. This course introduces learners to concepts in linear algebra, calculus, and probability, which form the three mathematical pillars of data analytics. The emphasis is on developing skill sets allowing learners to progress to specialised courses in data analytics. Python is utilised throughout as a means of implementing mathematical methods with technology.
- Linear Algebra
- Multivariable Calculus
- Probability
Course learning outcomes
- Apply techniques from linear algebra to solve problems involving vector spaces, matrices, eigenvalues and linear transformations.
- Formulate and solve optimisation problems using multivariable calculus.
- Perform computations with random variables and probability and explain the relation to entropy.
- Use Python to verify solutions and produce solutions for more complex problems.
- Present results of calculations in a clear and logical manner.