AI Academy Year 1 — Foundations Data Literacy

AI Academy Year 1 — Foundations Data Literacy builds practical data judgment for modern AI work.

Topics: data types, tables, descriptive statistics, missing data, data quality, sampling, bias, outliers, visualization, privacy and data provenance.

Learning outcome: learners should be able to inspect a dataset, identify common quality problems, summarize patterns and document whether the data is suitable for an AI task.

Format: digital AI Academy professional course with guided study and practical exercises. It is not automatically a Northline semester-credit course; Northline academic credit follows separately published academic-hour and program requirements.

Price: $99. Course access and delivery instructions follow purchase.

Delivery: This is a digital product, delivered by email, download link or account access within 72 hours of purchase. Any question or resolution will be sorted within 72 hours.

Delivered within 72 hours of purchase. If we can't deliver within 72 hours, you'll receive a full refund.