DATA100 B: Introduction to Data Analytics, Fall 2026 Term: Fall 2026

Wilfrid Laurier University • Waterloo, ON

6d • Onsite

About The Position

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.

Requirements

• Master’s degree in Mathematics, Statistics, or Data Science / Analytics.
• Ability to prepare course documents using LaTeX and R.
• Significant work experience with tidyverse and related suites in R.
• Familiarity with development platforms such as GitHub.

Nice To Haves

• PhD in Statistics or Data Science / Analytics.

Responsibilities

• Prepare course documents using LaTeX and R.
• Demonstrate data analytic methods using the statistical computing software R.
• Teach the different stages of the data analytics lifecycle, including diagnosing, cleaning, preparing, transforming, visualizing and modelling data.
• Introduce numerical and graphical methods of descriptive statistics.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level