Course details
This hands-on course follows on from COMP 1630, COMP 2362 (or COMP 2364) 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.
Credits
3.0
Cost
$660.87
Course offerings
Winter 2023
Below is one offering of COMP 2854 for the Winter 2023 term.
CRN 85276
Duration
Sat Jan 14 - Sat Apr 01 (12 weeks)
- 12 weeks
- CRN 85276
- $660.87
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Jan 14 - Apr 01 | Sat | 09:00 - 12:00 | Burnaby SE12 Rm. 310 |
Instructor
Alexander Volkov
Course outline
Cost
$660.87
Important information
- Departmental approval needed
-
Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 36 hours on campus. Late registration is not permitted. Class is in session February 18 (Family Day).
Status
In Progress
This course offering is in progress. Please check this page for other currently available offerings, subscribe to receive email updates or contact us with your comments or questions.
Spring/Summer 2023
Below is one offering of COMP 2854 for the Spring/Summer 2023 term.
CRN 64674
Duration
Sat Apr 15 - Sat Jul 01 (12 weeks)
- 12 weeks
- CRN 64674
- $660.87
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Apr 15 - Jul 01 | Sat | 09:00 - 12:00 | Burnaby SE12 Rm. 310 |
Instructor
Alexander Volkov
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$660.87
Important information
- Departmental approval needed
-
Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 36 hours on campus. Late registration is not permitted. Class in session May 20 (Victoria Day) and July 1 (Canada Day).
Status
Seats Available
1 seat remaining as of Fri March 31, 2023 at 6:40 pm (PDT). Availability may change at any time.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Identify analytics stakeholders and roles.
- Identify the steps in data analysis process.
- Translate business problems into data analytic problems.
- Describe data refinement and data mining.
- Identify data issues.
- Troubleshoot data, prepare and clean data for data mining and analysis.
- Optimize SQL for efficient query execution.
- Recognize SQL antipatterns and apply corrective measures.
- Create data analytic models.
- Perform data exploration, testing hypothesis and predictive analytics with SQL and advanced Excel functions.
- Use R language and R Studio software for Data Analytics tasks.
- Create meaningful reporting to uncover insights and trends to support business decision making.
Effective as of Spring/Summer 2017
Related Programs
Data Analytics Fundamentals (COMP 2854) is offered as a part of the following programs:
School of Computing and Academic Studies
- Applied Data Analytics
Certificate Part-time
Contact Us
If you have a question or comment about this course, please complete and submit the form below.
Subscribe
Interested in being notified about future offerings of Data Analytics Fundamentals (COMP 2854)? If so, fill out the information below and we'll notify you by email when courses for each new term are displayed here.
Programs and courses are subject to change without notice.