- International Fees
International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
Course details
In an information-based society, every enterprise requires business analytics and decision support systems to enable a competitive advantage. As a result, knowledge workers across all industries increasingly require an understanding of data modelling and advanced data management and analytical techniques. Building off the foundational skills learned in BSYS-1000, this course leverages the Microsoft ecosystem, including Access, Excel and Power Query, Microsoft's data transformation and data preparation engine, to perform complex data management tasks. Advanced formulae, concepts, and data modelling theory will enable students to connect to various types of data to enable the analysis and presentation of data to enable business insight.
Prerequisite(s)
- 50% in BSYS 1000
Credits
4.0
Domestic fees
$773.16
Course offerings
Spring/Summer 2024
Below are two offerings of BSYS 2000 for the Spring/Summer 2024 term.
CRN 69360
Duration
Mon Apr 08 - Thu Jun 27 (12 weeks)
- 12 weeks
- CRN 69360
- Domestic fees $773.16International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Apr 08 - May 15 | N/A | N/A | Online |
| May 16 | Thu | 18:30 - 22:30 | Burnaby SE06 Rm. 107 |
| May 17 - Jun 26 | N/A | N/A | Online |
| Jun 27 | Thu | 18:30 - 22:30 | Burnaby SE06 Rm. 107 |
Instructor
Denise Calvert
Course outline
Credits
4
Domestic fees
$773.16
Important information
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
-
***Please note that the midterm and final exams will be on campus. The midterm will be on Thursday, May 15th and the final exam will be on Thursday June 26.This course is asynchronous and does not require you to meet every week at a specific time, however, there will be specific timelines for assignments and exams. It is important you have a stable and consistent internet connection to access course content. Course content, type and quality of assignments, and general standards for this online course are the same as classroom courses. To be successful in this online course, plan to spend 7-10 hours per week on your studies, or more of it’s a condensed course, starting Week 1. Important course information will be sent to your myBCIT account prior to your course start date. Please note that the midterm and final exams will be on campus. The midterm will be on Thursday, May 15th and the final exam will be on Thursday June 26.
Status
In Progress
This course offering is in progress. Please check back next term or subscribe to receive email updates.
CRN 69364
Duration
Thu Apr 11 - Thu Jun 27 (12 weeks)
- 12 weeks
- CRN 69364
- Domestic fees $773.16International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Apr 11 - Jun 27 | Thu | 17:30 - 21:30 | Burnaby NE01 Rm. 338 |
Instructor
Kaitlyn Minatozaki
Course outline
Credits
4
Domestic fees
$773.16
Important information
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
Status
In Progress and Full
This course offering is in progress and full. Please check back next term or subscribe to receive email updates.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Solve financial/business problems using advanced formulae.
- Build a dynamic what-if business model that includes sensitivity analysis.
- Use correct data modelling terminology.
- Explain and illustrate the data modelling process using normalization.
- Analyze business data through single-source and multi-source queries.
- Employ built-in tools in Excel to analyze data using advanced criteria.
- Evaluate large datasets to extrapolate meaningful information to facilitate decision making.
- Present data analytics using pivot tables, charts, and other visualization techniques.
- Collaborate on the analysis and presentation of information using Microsoft 365.
Effective as of Winter 2023
Related Programs
Applied Data Analytics in Excel (BSYS 2000) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs with a co-op option.
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