Course Overview

Course Title: Practical Data Science with Python
Credit Points: 12
Nominal Hours:
Course Coordinator: Yongli Ren
Course Coordinator Phone:
Course Coordinator Email: yongli.ren@rmit.edu.au
Course Summary

The course gives you a set of practical skills for handling data that comes in a variety of formats and sizes, such as texts, spatial and time series data. These skills cover the data analysis lifecycle from initial access and acquisition, modelling, transformation, integration, querying, application of statistical learning and data mining methods, and presentation of results. This includes data wrangling, the process of converting raw data into a more useful form that can be subsequently analysed. The course is hands-on, using Python.

Full Course Information
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