The course “Data Science Foundations” covers multivariate statistics and (mean-covariance) linear factor models, which are the basis for more complex machine learning/artificial intelligence models.
In particular, this course covers the following topics:
After the course you will obtain a Statement of Completion. Furthermore, you can choose to complete an optional code-based project that will count as one of the two Practical Projects towards the ARPM Certification.
Distributions
Mean-covariance
Estimation: mean-covariance
Linear factor models I
Linear factor models II
Estimation: regression loadings