Current and aspiring technical professionals in data, including analytics, statistics, data science, business intelligence, data engineering, machine learning, and artificial intelligence, among others.

You will learn (1) the basic framework for data quality, rooted in global data management standards; (2) what data quality means for analytics practitioners and how that differs from analytical design; (3) the various sources of data defects in an analytics project; (4) a methodology for effective audit and understanding of data collected/extracted, to reduce project delays caused by data quality issues.

While the participants are expected to have basic proficiency in scripting/programming for conceptual reasons, no specific scripting language is assumed.

The course contains approximately 1.5 hours of video + materials. It is self-paced, so you can take it as fast or slow as you want and need. Live consultation/Q&A session may be coordinated for an added fee. Please contact us.

Yes! You will receive a certificate after successfully completing the course requirements, including the end-of-the-course assessment.

Contact us below for special student pricing.

You will have access to the materials for 365 days from the date of enrollment.