Statistical and Predictive Modelling for Analytics I
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.
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).