Python for Data Science

About this course

Develop practical Python skills for exploring, cleaning, combining and visualising data with notebooks, NumPy and pandas.

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 — Notebooks and Python Basics
• Module 2 — Collections and Control Flow
• Module 3 — Functions and Modules
• Module 4 — NumPy Essentials
• Module 5 — pandas I: Load, Inspect, Clean
• Module 6 — pandas II: Transform and Combine
• Module 7 — Charts and Communication

Applied learning

• Case Study — Tropica Air Monitoring Network: from spreadsheets to answers
• Lab 1 — Build a reusable function module
• Lab 2 — Clean a messy sensor export
• Lab 3 — Analyse a public dataset
• Capstone — Mini Analysis Notebook

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-102
• Level: Foundation
• Estimated duration: 10 h
• Delivery: Self-Paced