NOTE: This is an On Demand learning bundle. This course suite is available 24 hours a day, 7 days a week. Once registered, you can access the material at any time. However, you will only have access to the course for 30 days AFTER REGISTRATION closes.

This CPA Ontario learning bundle features two online courses that focus on the fundamentals of data quality and data visualization:

1. Data Quality Fundamentals by TDWI (8 hours)

Learn how to understand the quality of your data in a data-driven world.

This course is an introduction to the key concepts, principles and terminology related to data quality. As organizations depend more on analytics to drive their performance, the quality of the data needs to be understood, analyzed and improved. Learn how to define data quality requirements and become a smart data asset manager, data provider and data consumer.

Click to see the full course description for Data Quality Fundamentals by TDWI.

2. Data Visualization Fundamentals by TDWI (8 hours)

Turn large volumes of data into comprehensible presentations.

In this online course you will learn the foundational skills to explore, develop and communicate insights generated from data. Without visualization, numbers and statistics can be difficult to interpret to those who need to turn data into knowledge. Learn how to communicate as effectively in visual form as you do with verbal and written communications skills.

Click to see the full course description for Data Visualization Fundamentals by TDWI.


  • Create an actionable definition of data quality
  • Understand the typical causes of data quality problems
  • Apply processes and techniques for data quality assessment and improvement
  • Prepare data for visualization
  • Identify visual design techniques
  • Understand the value visual storytelling


Data quality and data governance professionals; data stewards, architects, and administrators; anyone needing to modernize a data governance program for agile, business intelligence (BI), big data or cloud services. Business analysts and data analysts; business intelligence (BI) leaders and managers; and anyone who develops charts and graphs to communicate data.