Introduction to Data Science DASC-001

Course Code DASC-001
Course Name Introduction to Data Science
Category Information Technology & Computers
Description Introduction to Data Science goes in-depth into an open source R programming environment which is built on data analysis, statistics and data visualization.

Data science is the art of unveiling hidden findings from raw data by understanding relationships between variables and observations, and drawing inferences and predictions to make smarter and more informed decisions.

The first part of the course covers installation and configuration of R, introduction to Git, Github, how to create a Github repository, basic markdown, reading and writing data in R, installation of R packages and functions, error handling, object oriented programming, debugging, profiling and benchmarking. These topics are necessary to develop efficient and powerful reusable data science tools.

The second part of the course explains how to create essential data visualization tools which is one of the most powerful ways of drawing conclusions from the data. The course covers three basic plotting systems in R: the base graphics system, the Lattice system and the ggplot2 system. The course goes in-depth into the ggplot2 framework which focusses on how to use and extend the framework to suit the specific needs of your data analysis.
Notes This course is offered in-class.
Contact: OR call 416-289-5000 x2267 for further information.
Contact Telephone 416-289-5207
Contact E-mail
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Section Cost Semester Start Date End Date Meeting Times Campus
821 $469.00 Winter 2018 2018-01-26 2018-05-04
Times Days
06:30 PM to 09:30 PM F
Progress Campus
Legend for Days
M - Monday T - Tuesday W - Wednesday R - Thursday F - Friday S - Saturday U - Sunday
TBA - To Be Announced