Statistical and Predictive Modelling for Analytics I

Course Information

Students are introduced to statistical models and predictive models that support data analytics and business decision-making. They will apply statistical approaches and algorithms to identify model structures to help solve business problems. Students will recommend how to best integrate and calibrate these models and algorithms to increase data quality, usability, and improve predictive analyses to improve system workload and business decision-making.

Intake F20 SEM

Start Date Sep 08 / 2020

End Date Dec 15 / 2020

Computer Software Requirements:

Recommend the following minimum computer requirements: HARDWARE: Intel I7 or AMD A10 processor or better with chipset that must support virtualization; 16 GB of RAM; 1 TB hard drive; Ethernet Network Card; Wireless Network Card; One USB 3.0 port (two preferred). SOFTWARE: Windows 10 Professional Edition.



Group Work:


Registering college code:

Host college code:

How to register

You can register in-person or on-line.  When Registering for a course, it is not necessary to include the 2 digit college code prefix (e.g. ENG-1113–not LA-ENG-1113).


Online Education
Phone : (519)541-2400
Email :

1457 London Rd
Sarnia, ON
N7S 6K4

Phone : (519) 542-7751
Fax : (519) 541-2469

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