Introduction to Big Data Analytics

    EX 1111 is offered this spring:

Gain an overview of big data, the state of the prac­tice in ana­lyt­ics and the ana­lyt­ics life­cy­cle as an end-to-end process. Focus on the key roles of a suc­cess­ful ana­lyt­ic project. Top­ics may include: the main phas­es of the life­cy­cle; and devel­op­ing core deliv­er­ables to stakeholders.

Course at a glance
  • Aimed at mid-level management who are developing and implementing new business analytics within their organization.
  • In-class, face-to-face delivery.
  • Lecture and discussion-based course with class exercises and discussions of assigned readings.
  • Participants will be able to offer reflections of their personal experiences involving different management scenarios.
What you will learn

By the end of this course, you should be able to:

    • Distinguish attributes of big data analytics and identify elements of big data technology architecture.
    • Identify goals and critical success factors of a big data analytic project.
    • Recognize big data analytics deliverables.
    • Recognize drivers of big data analytics.
    • Identify attributes of data used in big data analytics.
    • Discuss requirements for succeeding with Analytics 3.0.
    • Discuss the role of Hadoop and MapReduce in Big Data.
    • Recognize key product capabilities of Big Data vendors.
    • Distinguish a big data analytics project from traditional projects.
    • Discuss the importance of change management in an analytics project.
    • Recognize the goal of data discovery and preparation and discuss the role of the Data Steward.
    • Describe the need for data cleaning and identify factors affecting methodology selection.
    • Differentiate amongst descriptive, diagnostic, predictive and prescriptive analytics.
    • Describe considerations and steps for selecting analytics software.
    • Describe the importance and approaches to calibrate models and data.
    • Identify key implementation planning elements.
    • Describe steps for model deployment.
    • Discuss the role of the automator.
    • Discuss the importance of model monitoring and maintenance.
    • Recognize components of a Model report.
    • Discuss steps to transition the project to operations.


Take note:
  • All reading materials will be available through eClass, the University of Alberta’s eLearning management tool.
Jun 9, 2022Jun 10, 2022




9:00 am – 4:30 pm MT


9:00 am – 4:30 pm MT



Syn­chro­nous online learning, eClass

14 hours of instruction

In synchronous online courses, students move through the course material at the same pace as their peers. These courses also provide learners with pre-scheduled online lectures that have the instructor and students interacting at the same time. All components of this type of course are accessible through eClass, the University of Alberta’s eLearning management tool. for­mat details

David Yuk

Your Instructor

David YukID: david-yuk

Class info
  • This is a syn­chro­nous course that fea­tures live online activ­i­ties at pre­de­ter­mined times. For the real-time class­room ses­sions, a com­put­er with both audio input and out­put (such as a micro­phone-equipped head­set) is required. To start your online learn­ing expe­ri­ence vis­it www​.ext​-leo​.ca/​s​t​u​dents
  • 14 course hours in total
  • Open for registration until June 9, 2022. Register at least one week before the course start date to secure your spot. If space is available you may register until the day the course starts. Refunds, withdrawals & transfers policies
This course has no prerequisites

Students from all educational backgrounds welcome. You can register for this course without applying and enrolling in a program.

Take note:

  • All reading materials will be available through eClass, the University of Alberta’s eLearning management tool.
Currently counts towards:

Applicants intending to enrol in a program are encouraged to apply as soon as possible to lock in their course requirements since they are prone to change.

*If you are already enroled in this program, please refer to your specific program requirements as outlined at the time of your admission: Bear Tracks > Academic Advisement.

Looking for
different course dates?

New course schedules are released each June and November.

EX 1111 is offered this spring: