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Data Analytics Fundamentals COMP 2854

Computer Systems Course

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.

Prerequisite(s)

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

View

Cost

$660.87

Important information
  1. Departmental approval needed
  2. 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 back next term, subscribe to receive email updates or contact us with your comments or questions.

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

  1. Applied Data Analytics
    Certificate Part-time

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  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.