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Course Description

This course is designed to give students an overview of big data, state of the practice in analytics, the role of the data scientist, big data analytics in industry verticals, and analytics life-cycle as an end-to-end process. It focuses on key roles for a successful analytic project, main phases of the life-cycle, developing core deliverables for stakeholders, team work skills, and problem solving skills.

What Will You Learn?

This course provides a technical foundation with skills in critical thinking, knowledge extension and transfer, research application, and report writing with respect to big data and data analytics.

Learn how to:

  • Engage in machine learning using Weka and IBM Watson.
  • Employ appropriate statistical tests to test hypotheses on data.
  • Implement machine learning algorithms both in supervised and unsupervised learning.
  • Utilize relational database management systems, NoSQL and Hadoop databases.
  • Produce relevant visualizations from data.

Notes

The deadline to enroll in CIND119 for Spring term is May 2, 2022.

The deadline to enroll in CIND119 for Summer term is June 21, 2022.

Students will also not be allowed to swap between sections of the Data Analytics courses after the above date.

You must download the Microsoft Remote Desktop in order to access the software needed to complete the requirements for this course. Prior to your first class, you are strongly advised to test the computer you plan to use, as machines operated using a third-party administrator (such as laptops provided by a workplace) may not allow access to the required software/download(s). 

International students should use their own virtual private network (VPN) software to connect to University resources.

 

Relevant Programs

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Course Sections
Class Number
1306
Type
LEC
Days
Sa
Time
9:30AM to 3:30PM
Dates
Apr 30, 2022 to Jun 18, 2022
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,027.86 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
1307
Type
LEC
Days
T, Th
Time
6:30PM to 9:30PM
Dates
May 03, 2022 to Jun 16, 2022
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,027.86 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
1308
Type
LEC
Days
T, Th
Time
6:30PM to 9:30PM
Dates
Jun 21, 2022 to Aug 04, 2022
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,027.86 Click here to get more information
International Fee non-credit $0.00 Click here to get more information