This hands-on course follows on from COMP 1630, COMP 2362 and MATH 1060. It introduces data analytics fundamentals to students who have previously acquired skills in Excel spreadsheets, database systems, Structured Query Language (SQL) programming and statistics. Starting with an overview of the business cycle for data mining, students learn how to translate a business problem into a data mining problem. Through a number of problems and case studies, students will build, assess, and deploy different models to gain insights into the data by testing probable hypotheses using primarily SQL and Excel. Discussions include the fundamentals of using the R Language for data analytics. Labs and exercises include: using advanced analytics with SQL, advanced Excel and R Studio to clean data and perform analysis. Participants will gain experience with data exploration, testing hypothesis, and predictive analytics. This is a required course in the Applied Data Analytics Certificate, ADAC from BCIT Computing. Upon successful completion, participants will be able to identify the process of data analysis, the roles of data analytics practitioners and how to create analytics models. Students will be prepared to move on to MATH 3060 Advanced Statistical Techniques for Data Analytics and COMP 4254 Advanced Topics in Data Analytics.
$623.13 - $633.13 See individual course offerings below for actual costs.
Below are two offerings of this course for the Fall 2020 term.
Sat Sep 12 - Sat Nov 28 12 Weeks
|Sep 12 - Nov 28||Sat||09:00 - 12:00||DTC Online Delivery|
Wed Sep 16 - Wed Dec 02 12 Weeks
|Sep 16 - Dec 02||Wed||18:30 - 21:30||BBY Online Delivery|
TBD – see Learning Outcomes in the interim
Upon successful completion of this course, the student will be able to:
Effective as of Spring/Summer 2017
COMP 2854 is offered as a part of the following programs:
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