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Nov 23, 2024
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PUBLISHED 2023-2024 Credit Catalog [ARCHIVED CATALOG]
Data Analytics
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Program Description
The Data Analytics post-diploma certificate gives you the knowledge, skills, and aptitude to apply fundamental principles of data analytics. You’ll learn to align data into the business decision-making process, creating accurate and meaningful storytelling with actionable insights. You’ll do this by using a foundation of data management and ethics.
Fast Facts
- Online (distance delivery) OR classroom
- Applied learning environment
- Part-time delivery
Bring Your Own Device (BYOD)
The Data Analyics program was developed to meet the needs of working professionals who want to specialize in this exciting field. It is expected that students will provide their own laptop. Classes will be scheduled into e-learning labs with power outlets for in person classes, part-time classes will take place online. Wifi access is available to connect to the network and internet. Laptop specs should meet the following minimum requirements: i5 or i7 processor, 16 GB RAM, 500 GB storage. It may be necessary to subscribe to some specialized software for certain courses.
Student Success
This is an intensive program requiring a commitment of both time and energy; students who experience success are those who make their education a priority throughout the program.
We find there is a direct correlation between the time and energy invested to the amount of success achieved. Learners with strong time-management and discipline have a greater propensity to succeed.
Remaining focused and diligent with coursework is important for success in completing the program.
Ideal Candidate
The ideal candidate for the Data Analytics post-diploma certificate has a previous post-secondary diploma or degree. Education in business, economics, finance, etc. would be ideal. You have a strong math background and foundational education in statistics. You have worked with data and are intrigued by the power of data and how it can be analyzed to support good business decision-making. Previous experience working with databases is an asset.
Credentials and Accreditation
Upon successful completion of this program, graduates will receive a SAIT Data Analytics post-diploma certificate.
Progression
The progression requirement for students taking credit courses is a Term GPA and Total Institutional GPA of 2.0, with the exception of English Language Foundations and Academic Upgrading programs.
Admission Requirements
Applicants must meet one of the following (or equivalent), as well as the English Proficiency requirement*: - Post-secondary degree or diploma from a recognized university, institute or college.
- A combination of education and experience will be considered, upon approval from the Academic Chair.
* All applicants must demonstrate English language proficiency prior to admission, including students educated in Canada.
Program Outcomes
- Manipulate data using data science, modeling, ethics, ETL in a business context that is relevant to decision-making.
- Contextualize data in a format that maps to business processes, objectives, and aligns data analysis to strategic outcomes.
- Build presentations that communicate data analysis effectively and accurately for a business audience using visualizations (dashboards) and storytelling.
- Perform statistical and algorithmic analyses on cloud-based and on premise data sets using a variety of tools and techniques.
- Explain the use of machine learning and artificial intelligence as it relates to data analysis.
- Use industry recognized programs and tools to extract meaning from data.
- Demonstrate core strategic, tactical and operational business processes which are driven by data for evidence-based decision making.
- Apply fundamental data analytics principles, aligning data and business processes to create accurate, actionable insights.
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