Course
Intro to Big Data Business Cases
Course code
CEBD 1150
Duration
30 hours
A dangerous assumption in analytics is that your data is already clean. In reality, errors can creep in long before anyone interprets the results, and any decision made from that data can’t be trusted.
This course helps you become the person teams rely on to polish data before it reaches anyone who needs it. You’ll discover how data pipelines work and how to use them to produce data that’s clean, structured, and ready for analysis. You’ll also learn about data modeling, ETL pipelines, and the different data ecosystems like Google, Microsoft, and Tableau — plus how to integrate AI into the mix to establish a workflow that’s faster and more reliable.
Knowledge of Excel and SQL are crucial for you to be successful in this course. If you do not have knowledge in these areas, we strongly recommend that you take Intro to Data Analysis with Excel (CEBD 1300) and Intro to SQL (CEWP 215).
This course helps you become the person teams rely on to polish data before it reaches anyone who needs it. You’ll discover how data pipelines work and how to use them to produce data that’s clean, structured, and ready for analysis. You’ll also learn about data modeling, ETL pipelines, and the different data ecosystems like Google, Microsoft, and Tableau — plus how to integrate AI into the mix to establish a workflow that’s faster and more reliable.
Knowledge of Excel and SQL are crucial for you to be successful in this course. If you do not have knowledge in these areas, we strongly recommend that you take Intro to Data Analysis with Excel (CEBD 1300) and Intro to SQL (CEWP 215).
There are no upcoming dates at this time.
Your takeaways
This course is a great way to help you:• Explain core data infrastructure processes (collection, modelling, cleaning, and pipelines) to ensure data is ready for analysis when it reaches a report or dashboard
• Design data tracking structures to better control how data flows, is modelled and is stored for analysis
• Communicate technical data requirements more clearly to data engineers to improve project outcomes
• Describe modern data stacks and platforms so you can work in today’s analytics environments understand the tools you use
• Compare data ecosystems such as Google, Microsoft, and Tableau to make more informed decisions with the platforms you work with
• Identify best practices for structuring data layers to improve data quality
• Evaluate data readiness for analytics and visualization to avoid flawed reporting
• Evaluate the opportunities and limitations of integrating AI into data processes and pipelines so you can apply it where it delivers the most value
Our approach
Through conceptual discussions and hands-on exercises, you’ll develop the skills to communicate data requirements to technical teams and contribute to real-world analytics environments. Participants should expect to spend 5-6 hours practicing between sessions to reinforce what they’ve learned in class.Who benefits the most?
• Business professionals seeking a stronger technical understanding of how data is collected, structured, and prepared to incorporate it into a dashboard or report• Non-technical professionals who work closely with data engineers and want to understand data structures and ecosystems to communicate requirements more clearly and collaborate effectively
• Junior analysts and reporting specialists who can create dashboards but want to better understand the data preparation process behind them, including data collection, structuring and cleaning
• Professionals interested in knowing how to incorporate AI into data pipelines and what its opportunities and limitations look like in practice
CCE Loyalty Discount
Students will receive a 10% discount on their CCE course or workshop tuition fees if they meet any of the following criteria:
- They previously completed a CCE, undergraduate or graduate course at Concordia University.
- They completed a language proficiency test at CCE.
- They completed a CCE Professional Development Seminar/Workshop.
This discount is based on the information maintained in the Concordia University student information system.
NOTE: The discount does not apply to application fees for admission to a CCE program, language proficiency test enrollment, or AI for Decision-Makers in Advanced Manufacturing.
