Introduction to Big Data Analytics
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.
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.
When will this course be offered?
New course schedules are released each June and November.
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