This hands-on course follows on from MATH 1060- Statistics for Data Analysis and introduces the students to many of the techniques used in the field of data analytics. This introduction will enable students to use general classification and predictive analysis methods. Methods appropriate for scientific data are also discussed. Labs and projects using the open source statistical analysis tool, R, build on the skills learned in Math 1060 to apply these advanced techniques. Upon successful completion, students will be able to effectively analyze large and small data sets while adhering to sound statistical principles. This course is required for the Applied Data Analytics Certificate offered by BCIT Computing.
MATH 1060 or equivalent.
Below is one offering of this course for the Winter 2018 term.
Wed Jan 10 - Wed Mar 28 12 Weeks
|Jan 10 - Mar 28||Wed||18:00 - 20:00||BBY SW01 Rm. 1205|
|Jan 10 - Mar 28||Wed||18:00 - 21:00||BBY SE06 Rm. 107|
|Jan 10 - Mar 28||Online|
This course offering is in progress. Please check this page for other currently available offerings or subscribe to receive email updates.
Below is one offering of this course for the Spring/Summer 2018 term.
Wed Apr 11 - Wed Jun 27 12 Weeks
|Apr 11 - Jun 27||Wed||18:00 - 21:00||BBY SW01 Rm. 2016|
|Apr 11 - Jun 27||Online|
TBD – see Learning Outcomes in the interim
Upon successful completion of this course, the student will be able to:
Effective as of Fall 2016
MATH 3060 is offered as a part of the following programs:
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