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COMP 2251 - Website Optimization with Google Analytics

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

Course Details

This hands-on course follows on from COMP 1850 and COMP 2015 or those who already understand significant HTML, CSS, JavaScript and jQuery. Students will gain a better understanding of the user journey in complex web ecosystems. They will learn how to use Google Analytics to collect clean and reliable web data to depict user engagement within a website. They will also learn to generate various analytics reports and analyse web data to improve site usability. Labs and exercises are designed to reinforce best practices, identify segments for multi-device and cross-screen user behaviours. Participants learn to evaluate website stickiness and points of confusion, to figure out slow endpoints, and develop hypothesis for better website navigation. Topics include: Develop and implement web data collection procedures with Google Analytics, A/B/N Testing, survey and Heatmap tools, data analysis techniques and advanced reporting. Assignments provide a working knowledge of Google Analytics implementation Multivariate testing, and In-Page analysis to improve visitor experience and retention. Students will examine opportunities for continued website improvement and learn how to optimize web pages for better traffic acquisition. By the end of this course successful participants will be able to collect reliable and actionable web data using Google Analytics for continual usability improvement. COMP 2251 will be offered once a year in the fall term.

Prerequisite(s)

COMP 1850 and COMP 2015 or equivalent knowledge of HTML5, CSS3, JavaScript and jQuery.

Credits

3.0

This course isn't currently offered through BCIT Part-time Studies. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

Learning Outcomes

Upon successful completi9on of this course, the student will be able to:

  • Explain Web Analytics fundamentals and data collection methods and tools.
  • Plan and implement web data collection procedures.
  • Install and configure Google Analytics, A/B/N testing, survey, and Heatmap tools.
  • Collect clean and reliable web data.
  • Analyze web data using Google Analytics reports and data analysis techniques.
  • Model data to understand visitor engagement to improve usability and web site navigation.
  • Conduct A/B and Multivariate testing to improve overall visitor experience.
  • Conduct In-Page analysis to identify challenges in site usability.
  • Evaluate purchase funnel performance, identify exit routes and fix them to gain more conversion.

Effective as of Fall 2014

Related Programs

COMP 2251 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Data Analytics
    Part-time   Certificate
  2. Applied Web Development
    Part-time   Associate Certificate
  3. Computer Systems
    Part-time   Diploma

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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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