Data analytics helps organizations turn complex information into evidence that supports planning, performance improvement, and informed decision-making. Poor data quality, weak analytical methods, unclear reporting, or inadequate governance can produce misleading conclusions and reduce confidence in business decisions. The Data Analytics course covers analytical thinking, data strategy, the analytics lifecycle, data architecture, preparation, statistical methods, predictive modelling, forecasting, machine learning, business intelligence, visualization, Canadian data governance, artificial intelligence, and analytics leadership. Learners will strengthen their ability to prepare data, apply analytical methods, communicate insights, support responsible governance, and contribute to data-informed organizational decisions. Certification is provided upon successful completion of the course.
