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Course Description

This course introduces you to how data solutions are delivered using cloud services. You will learn how to use Power BI data analysis tools and query databases. Further, you will examine Azure cloud-based storage types and identify common elements of large-scale data analytics. Finally, you will consider the use of real-time data analytics and explore data-analytics pipelines.

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“Micro-credential
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Learner Outcomes

Upon completing this course, you will know how to:

  • perform data analytics in Azure to ingest, process, transform, and analyze large datasets, in order to produce visualizations and reports
  • build a simple Power BI dashboard
  • present the Power BI dashboard so that the value of the data is communicated to the organization
  • differentiate SSIS, SSAS, and SSRS as part of an on-prem solution
  • Perform data analysis through Excel, using basic worksheet modeling, creating and managing range names, employing Lookup functions, and INDEX and MATCH functions.

Prerequisites

Prerequisite: DATA 029, Data Concepts

Applies Towards the Following Certificates

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Enrol Now - Select a section to enrol in
Section Title
Data Architecture
Type
Lecture - Online Synchronous
Days
T, Th
Time
6:00PM to 9:00PM
Dates
Dec 03, 2024 to Jan 23, 2025
Schedule and Location
View Details
Contact Hours
36.0
Delivery Options
Virtual  
Course Fee(s)
Tuition Fee non-credit $705.00
Drop Request Deadline
Mar 26, 2024 to Dec 04, 2024
Transfer Request Deadline
Mar 26, 2024 to Dec 04, 2024
Withdrawal Request Deadline
Dec 05, 2024 to Jan 07, 2025
Section Notes

Prerequisites:

There are no prerequisites for this course.

Schedule:  

This course will be delivered virtually using MS Teams & Brightspace/D2L. MS Teams sessions will be held every Tuesday and Thursday beginning December 3, 2024 and ending January 23, 2025, from 6:00 pm - 9:00 pm.

***Please note, no classes on:

  • December 24, 2024
  • December 26, 2024
  • December 31, 2024 

We encourage you to use your webcam and microphone to contribute to a more collaborative learning experience.

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