Programming for Data Science with Python

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Overview

Programming For Data Science is divided into two ‘tracks’: R and Python. You can choose which programming language is right for you. Either way, both streams will cover other fundamental data tools like SQL, Git and Version Control.

Skills and learning outcomes

Python or R coding, SQL, Command Line, Git, Version Control, Numpy, Pandas, JOINs, Aggregations, data visualisation.

Recognition

After completing an RMIT Future Skills course, you will earn an RMIT certificate and credential which can be validated, recognised and shared on social media platforms.

Content

This course equips you with fundamental tools used by data scientists around the world: R or Python coding, SQL, command line and Git. Whether you’re new to data or an experienced analyst, this is your chance to upskill. Fast.

When can I do it ?