Business Statistics (MGMT 1009)
In the business world, it is important to turn ever-increasing amounts of data into useful information that can be easily seen and understood. In this course students will learn the fundamental principles and practices of business data analysis and how to communicate business intelligence in visual formats. Working with a variety of data sources and software, students will learn make sense of quantitative business data by discerning meaningful patterns, trends, relationships and exceptions that reveal business performance, potential problems and opportunities.
Course code: MGMT 1009
Credits: 3.0
Tuition: $0*
Length: 45.0 hours
Course outline:
view
https://www.vcc.ca/cfm-files/course-outline.cfm?subject=MGMT&number=1009
Prerequisites
Admission to the program
Schedule†
MGMT 1009 schedule for programs:
- CBMP
Course dates and times may vary throughout the term. Select the CRN number below to see a full schedule.
| CRN # | Instructor | Dates | Day/Time | Instructor |
|---|---|---|---|---|
|
75188
|
Tiagi, Raaj |
September 1, 2020
to December 8, 2020 |
Tue | 5:00 p.m - 8:00 p.m | Tiagi, Raaj |
|
75170
|
Karabegovic, Amela |
September 14, 2020
to December 7, 2020 |
Mon | 5:00 p.m - 8:45 p.m | Karabegovic, Amela |
|
44907
|
January 4, 2021
to April 17, 2021 |
|||
|
44926
|
January 4, 2021
to April 17, 2021 |
|||
|
46224
|
January 4, 2021
to April 17, 2021 |
Schedule†
MGMT 1009 schedule for programs:
- BPMP
Course dates and times may vary throughout the term. Select the CRN number below to see a full schedule.
| CRN # | Instructor | Dates | Day/Time | Instructor |
|---|---|---|---|---|
|
75600
|
Tiagi, Raaj |
September 3, 2020
to December 10, 2020 |
Thu | 5:00 p.m - 8:00 p.m | Tiagi, Raaj |
|
44944
|
January 4, 2021
to April 16, 2021 |
Tue | 1:00 p.m - 4:00 p.m | ||
|
44948
|
January 4, 2021
to April 16, 2021 |
|||
|
46235
|
January 4, 2021
to April 16, 2021 |
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| RESULTSET |
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| SQL | SELECT ssbsect_crn, ssbsect_term_code, ssrblck_blck_code, ssrmeet_start_date, ssrmeet_end_date, TO_CHAR(ssrmeet_start_date, 'DD-Mon-YYYY') AS start_date, TO_CHAR(ssrmeet_end_date, 'DD-Mon-YYYY') AS end_date, ssrmeet_begin_time, ssrmeet_end_time, TRUNC( TO_DATE(CONCAT(ssrmeet_begin_time,'00'),'HH24:MI:SS')) + ( ROUND( (TO_DATE(CONCAT(ssrmeet_begin_time,'00'),'HH24:MI:SS') - TRUNC(TO_DATE(CONCAT(ssrmeet_begin_time,'00'),'HH24:MI:SS')) ) * 96 ) / 96) as begin_time_round, TRUNC( TO_DATE(CONCAT(ssrmeet_end_time,'00'),'HH24:MI:SS')) + ( ROUND( (TO_DATE(CONCAT(ssrmeet_end_time,'00'),'HH24:MI:SS') - TRUNC(TO_DATE(CONCAT(ssrmeet_end_time,'00'),'HH24:MI:SS')) ) * 96 ) / 96) as end_time_round, DECODE(ssrmeet_sun_day, 'U', 'Sun ', '') || DECODE(ssrmeet_mon_day, 'M', 'Mon ', '') || DECODE(ssrmeet_tue_day, 'T', 'Tue ', '') || DECODE(ssrmeet_wed_day, 'W', 'Wed ', '') || DECODE(ssrmeet_thu_day, 'R', 'Thu ', '') || DECODE(ssrmeet_fri_day, 'F', 'Fri ', '') || DECODE(ssrmeet_sat_day, 'S', 'Sat ','') AS day_of_week, ssrmeet_bldg_code, ssrmeet_room_code, sirasgn_pidm, ssbsect_seats_avail, ssbsect_wait_count, ssbsect_voice_avail, ssrmeet_schd_code, stvschd_desc FROM ssbsect INNER JOIN stvschd ON ssbsect_schd_code = stvschd_code AND ssbsect_schd_code NOT IN ('PLA', 'CL', 'CB', 'CI', 'T') LEFT OUTER JOIN ssrblck ON ssrblck_term_code = ssbsect_term_code AND ssrblck_crn = ssbsect_crn LEFT OUTER JOIN ssrmeet ON ssrmeet_term_code = ssbsect_term_code AND ssrmeet_crn = ssbsect_crn LEFT OUTER JOIN sirasgn ON sirasgn_crn = ssbsect_crn AND sirasgn_term_code = ssbsect_term_code WHERE ssbsect.ssbsect_subj_code = 'MGMT' AND ssbsect.ssbsect_crse_numb = '1009' AND ssbsect.ssbsect_term_code >= 202070 AND ssbsect.ssbsect_ssts_code = 'A' AND ssbsect.ssbsect_ptrm_end_date > sysdate-1 ORDER BY ssrmeet_start_date, ssrmeet_begin_time, ssbsect_crn | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Additional Information
What you will learn
- 1. Introduction to Statistics and Data Analytics
- 2. Organizing data and creating visualizations
- 3. Measures of location and variation
- 4. Correlations and regression
- 5. Probability
- 6. Discrete Distributions
- 7. Normal Distribution
- 8. Sampling Distribution
- 9. Estimation
- 10. Hypothesis testing
How do I apply for this course?
This course is offered as part of a VCC program only.
* Fees are approximate and subject to change. Students are required to pay any applicable fee increases. Fees listed are for domestic students. For international programs, visit VCC International.
† This information is intended as a guideline only. Program and course details are subject to change with the approval of VCC's Board of Governors.