2021 Introduction to Data Science

Introduction to Data Science - Microsoft Student Accelerator Program 2021

Agenda

This workshop will cover foundational topics as an introduction to data science. We aim that by the end of this workshop, you will be better prepared for subsequent MSA phases later in the year.

We will be covering the following topics:

Pandas, Jupyter, and scikit-learn
Data cleaning
Regression, classification, and cross-validation
Data visualisation with Microsoft Power BI

Each topic covered in this workshop has their own folder in this repository which houses the content and goes into detail of the learning outcomes.

What to Bring

Laptop & charger and power extension cord
Snacks, lunch, and water
And a Fresh mind 😃

Prerequisites and preparation

Software Needed

This is what we'll be using in the workshop. Ideally, if you can install the software and register for the services before the workshop, that would be great. If you can't, don't worry, we will have enough time during the workshop for everyone to install and register for the services.
✅ Install Visual Studio Code (https://code.visualstudio.com/) - Code editor.
✅ Install Git (https://git-scm.com/) - Version Control system software.
✅ Register for a GitHub Account (https://github.com/) - For hosting & storing our project.
✅ Register for Kaggle (https://www.kaggle.com/)
✅ Install Python or Anaconda (https://www.python.org/downloads/)(https://www.anaconda.com/products/individual)
✅ Install pip with

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

Wi-Fi

Non UoA students should be able to connect via Eduroam. Please familiarise yourself with how to login using your university credentials.