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COMP 2854 - Data Analytics Fundamentals

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

Course Details

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.

Prerequisite(s)

COMP 1630, COMP 2362 and MATH 1060.

Credits

3.0

Cost

$610.98 - $619.55 See individual course offerings below for actual costs.

Winter 2020

Below are two offerings of this course for the Winter 2020 term.

CRN 84215

Tue Jan 14 - Tue Mar 31 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 14 - Mar 31 Tue 18:30 - 21:30 BBY SE12 Rm. 301

Instructor

Alexander Volkov

Course Outline

Cost

$619.55

Notes

  1. You are responsible for the specific prerequisite knowledge for this course. Your instructor cannot be expected to review prerequisite materials so please do not ask. The department could withdraw you from this course if you do not have the prerequisites or equivalent. Late registration is not permitted. The start and end dates have been changed from January 7 – March 24 to January 14 – March 31.

This course offering is in progress. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

In Progress

CRN 85276

Sat Jan 18 - Sat Apr 04 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 18 - Apr 04 Sat 09:00 - 12:00 DTC Rm. 372

Instructor

Alexander Volkov

Course Outline

Cost

$610.98

Notes

  1. You are responsible for the specific prerequisite knowledge for this course. Your instructor cannot be expected to review prerequisite materials so please do not ask. The department could withdraw you from this course if you do not have the prerequisites or equivalent. Late registration is not permitted. Class is in session on February 15 (Family Day). The start and end dates have been changed from January 11 – March 28 to January 18 – April 4.

This course offering is in progress. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

In Progress

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

COMP 2854 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Data Analytics
    Part-time   Certificate

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The personal information on this form is collected under the authority of the College and Institute Act (RSBC 1996, Ch.52). BCIT will use this information to communicate with you regarding relevant BCIT programs, courses and services. This information is only used by authorized BCIT staff. Email communication sent to and from BCIT is routed through the United States of America. If you have any questions about BCIT's collection and use of this information, please contact BCIT’s manager of Information Access and Privacy.

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English Language Proficiency

BCIT's Part-time Studies English Language Proficiency Standard is English 12 (or equivalency). Students who do not meet this requirement should upgrade their English skills prior to any future registration.

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Registration News

Registration is currently open for the Winter 2020 term.

The sneak preview for the Spring/Summer 2020 term starts Fri, Feb 14 at 8:30 am (PST).

Students may register for Spring/Summer 2020 term courses online, by phone, mail or in-person starting Wed, Feb 19 at 9:00 am (PST).

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