Preparing Data for Business Intelligence
Course
Description
Before making data-driven decisions, organizations need to make sure their data is clean and as up-to-date as possible. 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, the different data ecosystems, and how to integrate AI into the mix to establish a workflow that’s faster and more reliable.
Following a recent review, Intro to Big Data Business Cases has been updated and renamed Preparing Data for Business Intelligence. For more information, contact us at cce@concordia.ca.
Course at a glance
Course code: CEBD 1150
Format: Online
Duration: 10 weeks
Language: English
Upskill your team with custom corporate training.
Key takeaways
- 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 and apply best practices for structuring data layers to improve data quality, storage, and analysis
- Communicate technical data requirements, including modern data stacks and platforms, more clearly to data engineers to improve project outcomes
- Compare data ecosystems to make more informed decisions with the platforms you use
- Evaluate data readiness for analytics and visualization, and assess the opportunities and limitations of integrating AI into data processes and pipelines
