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Course Description

This course builds on the previous Basic Methods course and covers more advanced concepts including classification and clustering algorithms, decision trees, linear and logistic regression, time series analysis, and text analytics. The course will provide applied knowledge on how to analyze large scale network data produced through social media. In this context topics include network community detection, techniques for link analysis, information propagation on the web and information analysis of social media.

What Will You Learn?

This course provides skills in the application of knowledge transfer, advanced critical thinking, research application, and report writing.

Learn how to:

  • Manage advanced data cleansing to prepare the data for analysis.
  • Perform statistical comparisons by hypothesis testing.
  • Explore how to practically analyze large scale network data with the use of models for network structure and evolution.
  • Optimize the structures and dynamics of self-organizing networks such as the Web.
  • Differentiate between parametric and non-parametric statistical testing.
  • Recognize feature selection techniques for use in modeling.
  • Contextualize and leverage small world phenomena.
  • Know how to build statistical learning models for clustering, classification, and regression to represent domains under study using R and Python.
  • Identify available problem-solving approaches and methods.
  • Develop an overall understanding of experimental design in data science projects.
  • Recognize the dimensionality reduction techniques for big datasets.

Notes

The deadline to enroll in CMTH 642 for Winter term is January 8, 2021.

Students will also not be allowed to swap between sections of the Data Analytics courses after January 8, 2021.

Course materials, video lectures and discussions are delivered and facilitated online within the D2L Learning Management System.

Throughout the semester, student questions related to course content may be answered either by the instructor on discussion board or by an online tutor via email. For more information, please email Anne-Marie Brinsmead, Program Director, at a2brinsm@ryerson.ca

 

Requisites

Prerequisite: (CIND 119, CIND 123 AND CIND 830) or (CMTH 304 and CMTH 380) AND (CCPS 109 or CPS 118)
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Course Sections

Class Number
5533
Type
LEC
Days
Th
Time
6:30PM to 9:30PM
Dates
Sep 17, 2020 to Dec 17, 2020
Schedule
Contact Hours
39.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,027.79 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
5701
Type
LEC
Days
T
Time
6:30PM to 9:30PM
Dates
Jan 12, 2021 to Apr 20, 2021
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
online  
Fees
Domestic Fee non-credit $1,027.79 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
5922
Type
LEC
Days
F
Time
6:00PM to 9:00PM
Dates
Jan 15, 2021 to Apr 23, 2021
Schedule
Contact Hours
39.0
Location
  • Online
Delivery Options
online  
Fees
Domestic Fee non-credit $1,027.79 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
5702
Type
LEC
Days
Sa
Time
9:30AM to 12:30PM
Dates
Jan 16, 2021 to Apr 24, 2021
Schedule
Contact Hours
39.0
Location
  • Online
Delivery Options
online  
Fees
Domestic Fee non-credit $1,027.79 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
1366
Type
LEC
Days
M, W
Time
6:30PM to 9:30PM
Dates
May 03, 2021 to Jun 16, 2021
Schedule
Contact Hours
3.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,027.79 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
1367
Type
LEC
Days
T, Th
Time
6:30PM to 9:30PM
Dates
Jun 22, 2021 to Aug 03, 2021
Schedule
Contact Hours
3.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,027.79 Click here to get more information
International Fee non-credit $0.00 Click here to get more information