Loading...

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

Students are recommended to check the important dates for the Chang School current term before enrolling in the course and paying the fees. Notably, the Azure Virtual Desktop assigned to students will be accessible two days after the course’s starting date, and swapping between sections will not be permitted.

 

Students are also encouraged to download the Microsoft Remote Desktop app to access the software needed to complete this course’s requirements. Students also need to test the compatibility of the computer they plan to use before the first session, 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 might need to use their virtual private network (VPN) software if they cannot connect to University resources.

Classroom Delivery

This course offers on-campus section(s) for the 2022/23 academic year. On-campus sections are identified in each section's detail summary as “Classroom” (and/or “Downtown” as the location). Visit COVID-19 Updates for Chang School Students for the most up-to-date guidance on attending on-campus classes.  

Relevant Programs

Loading...
Course Sections
Class Number
1754
Type
LEC
Days
Sa
Time
9:00AM to 12:00PM
Dates
May 04, 2024 to Aug 17, 2024
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,030.12 Click here to get more information
Domestic Out of Province Fee non-credit $0.00 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
1730
Type
LEC
Days
M, W
Time
6:30PM to 9:30PM
Dates
May 06, 2024 to Jun 24, 2024
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,030.12 Click here to get more information
Domestic Out of Province Fee non-credit $0.00 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
1292
Type
LEC
Days
T, Th
Time
6:30PM to 9:30PM
Dates
Jun 25, 2024 to Aug 08, 2024
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,030.12 Click here to get more information
Domestic Out of Province Fee non-credit $0.00 Click here to get more information
International Fee non-credit $0.00 Click here to get more information