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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

$599.00

Fall 2018

Below is one offering of this course for the Fall 2018 term.

CRN 43445

Sat Sep 08 - Sat Dec 08 12 Weeks

Class Meeting Times

Dates Days Times Locations
Sep 08 - Dec 08 Sat 09:00 - 12:00 DTC Rm. 372

Instructor

Alexander Volkov

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$599.00

Notes

  1. No class October 6 (Thanksgiving) or November 10 (Remembrance Day).

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

Full

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

Books & Supplies

The BCIT bookstore carries textbooks, general reference books, software, and stationery. Please visit bcit.ca/bookstore for more information.

Fall 2018

Books for Fall 2018 offerings of this course are available in the following BCIT online bookstores. Please choose the bookstore appropriate for the offering you are considering.

BCIT Downtown Campus Bookstore

If you are taking this course at the BCIT Downtown Campus (DTC), please purchase books for this course at the BCIT Downtown Campus Bookstore.

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