This course provides a foundation of exploring data through computing and statistical analysis. Focus is placed on the structure and applications of probability, statistics, computer simulation and data analysis for students exploring the field of data science. This course builds upon introductory statistics courses and is designed for students with experience/study in programming, calculus and algebra. Programming in R will be used throughout the course. Pre-requisite: Grade 12 U level Mathematics (Advanced Function, or Calculus and Vectors, or Mathematics for Data Management, or Mathematics for College Technology), or University or college introductory course in Statistics.
Saturday, May 11 - July 20: 1:00 p.m. - 4:00 p.m. (Virtual)
Location:
ONLINE
Instructor:
Quang Nguyen Luong
Notes:
This course is offered as a virtual classroom with classes held, as per the scheduled day/time. Classes will be held online, using a combination of synchronous, real-time, instructor led sessions, supplemented with asynchronous activities. You should expect to attend class at the same time, each week, although not every session will be a full 3 hours of live instruction. Rather, classes will provide learners the opportunity to apply what has been covered by your course facilitator. Laptop computer required; No class May 18, June 29
Instructors
Quang Nguyen Luong
Quang Nguyen is a data scientist with experiences working for IBM Canada in Advanced Analytics and AI practice as well as IBM Quantum Computing Ambassador team. He also did several postdoc research in academic institutes such as Korean Astronomical and Space Institute, National Astronomical Observatory of Japan, Canadian Institute for Theoretical Astrophysics. He finished his post and undergrad in Europe.
