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DATA100A: Introduction to Data Analytics

Calendar Description

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 tools such as Excel, Google spreadsheets, Python and the R package.

Instructor

Professor Xu (Sunny) Wang (PhD)
Office location: LH3038 (Lazaridis Hall)
Office hours:
Email: xwang@wlu.ca

Lectures

Monday and Wednesday 11:30 a.m. - 12:50 p.m. in BA209 (Bricker Academic Building)

Lab Coordinator

Katie McGarry
Email: cmcgarry@wlu.ca
Telephone: x2146
Office: LH3074

Textbook

Calculus for Medicine and Biology, 3rd Edition, Claudia Neuhauser, Pearson.

Calculators

Students may only use the approved scientific calculator, Casio fx-300ms plus, on course tests and the final examination. No other calculator is allowed. It is available for purchase at the campus bookstore.

MyLearningSpace

Materials related to this course and the full course outline will be posted on the DATA100 MyLearningSpace website. You are responsible for checking here on a regular basis for important announcements.

Evaluation

A final mark out of 100 will be calculated as follows:

  • Lab assignments and WebWorK quizzes: 20%
  • WebWorK homework assignments (weekly): 10%
  • Midterm test: 30%
  • Final exam (exact date, time and location to be announced): 40%

The final mark will be reported as a letter grade in accordance with the conversion table of the current undergraduate calendar.

This document is a summary of the course outline for DATA100 and is provided for the convenience of students.