Data Science Foundations

About this course

Frame useful data questions, inspect data quality and communicate evidence while recognising uncertainty and common evaluation traps.

This foundation course is part of the Data Science & Analytics school. The curriculum includes an estimated 10 h of study content. Instructor-led delivery is available online or offline; session schedules are confirmed during enrollment.

Course curriculum

• Module 1 — What Data Science Is
• Module 2 — From Decision to Question and Metric
• Module 3 — Data: Types, Structure and Quality
• Module 4 — Describing Data Honestly
• Module 5 — Uncertainty, Experiments and Causation
• Module 6 — Prediction: Baselines, Metrics and Leakage
• Module 7 — Data Science in Practice

Applied learning

• Case Study — Wheelhouse's board meeting: four claims
• Lab 1 — Profile and clean the October export
• Lab 2 — Did the promotion work?
• Lab 3 — Who will cancel?
• Capstone — A Decision Brief from Data

Who this course is for

Student / Beginner; Data Professional; Technology Professional; Researcher

Prerequisites

No prerequisite course is listed in the academy catalog.

Course details

• Course code: NE-DSC-101
• Level: Foundation
• Estimated duration: 10 h
• Delivery: Self-Paced