Foundations of Probability and Statistics in Data Science
DSC-215R
This course is only available to students who have been accepted into the Foundational Data Science Advanced Certificate.
In this online course, students will learn the foundations of probability and statistics needed for Data Science, including mathematical theory, and hands-on experience of applying this theory to actual data using Jupyter notebooks. Random variables; Dependence; Correlation; Regression; PCA; Entropy and MDL.
Course Instructors
Tenure-track faculty from UC San Diego's department of Computer Science & Engineering and the Halicioglu Data Science Institute will serve as the primary instructors for this course. These faculty are experts in data science, all of whom hold a PhD in their respective fields.
Irfan Khan
Areas of Expertise
AI/ML | Probability/Statistics | Algorithms | System solutions for edge devices and infrastructure | ASICs | Communication Networks
Rayan Saab
Areas of Expertise
Mathematical Signal Processing | Mathematics of Data Science | Applied and Computational Harmonic Analysis