Position Summary

Course Instructor, DATA100B: Introduction to Data Analytics

This course provides a broad overview of modern methods and tools for big data analytics. Different stages of data analytics lifecycle, including diagnosing, cleaning, preparing, transforming, visualizing and modelling data, are considered. Numerical and graphical methods of descriptive statistics are introduced. Data analytic methods are demonstrated using the statistical computing software R.

Qualifications – Required: Master’s degree in Mathematics, Statistics, or Data Science / Analytics, PhD in Statistics or Data Science / Analytics would be a strong asset

Qualifications – Discipline: Data Science or Statistics

Qualifications - Areas of Specialization: Statistics or Data Science / Analytics

Qualifications - Professional Designation: NA

Qualifications - Other: Ability to prepare course docu...