This course offers an introduction to data science and machine learning paving the way for students to learn data analytics principles. In particular, this course begins with a brief history of data analytics and data science, followed by regression analysis, regression and classification trees, and ends with introductions to K-means clustering, principal component analysis (PCA). Each lecture has associated with it a practical lab session which students will put theory into practice offering students a hands-on approach to learning the material.
Saturday, January 18 - April 12: 9:00 a.m. - 12:00 p.m. (Virtual)
Location:
ONLINE
Instructor:
Rajibul Mian
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 February 15. Please note registering after the course start date may delay course access and does not permit exceptions to coursework due dates, late textbook purchases, or the refund policy
Instructors
Rajibul Mian
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Rajibul Mian is a Statistician. He has extensive teaching and professional experience in distinguished Healthcare Institutes and Medical Research organizations. He is currently working at McMaster University, Department of Medicine. His professional background and interest encompass Biostatistics, Computational Statistics, Statistical Modelling, Data Analytics, and Data Science.
Rajibul holds PhD in Statistics from the University of Windsor.
