Introduce students to data science, big data analysis and statistics.  This includes a focus on statistical methods for data scientists, including random variables, probability theory, continuous and discrete distributions, inference, estimation, hypothesis testing and statistical significance.  To develop a set of practical skills and tools in terms visualizing, exploring, storing and processing data, and an introduction to cluster-computing frameworks (Hadoop, Spark).

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: No

Paid training activity for participants: Yes, for all.

Participants prerequisite knowledge: No prerequisite knowledge