Upon successful completion of this course, participants will be able to:

  1. Design and write their own data analysis algorithms in MATLAB.
  2. Apply computationally intensive descriptive and inferential statistical methods to non-homogenous data sets.
  3. Apply clustering methods that search for structure in complex data sets.
  4. Apply algorithms for identifying discriminative features and what their predictive value is.
  5. Reduce the complexity of high-dimensional data sets.
  6. Explore more advanced and specialized methods to build upon the foundations gained.