Adults and Teenagers
Learn the basics of data science by preparing, analysing and visualising data using Python.
Introduction to Data Science
We will take a brief look at what data science is and some typical data science applications.
Being a Data Scientist
We will look at what data scientists do, the skills they need and the tools they use.
The Machine Learning Process
We will work through a small example project using an “unplugged” paper-based approach, understanding the process for organising and executing a typical machine learning task. We will then repeat this task on a computer using Python.
Build more Machine Learning Techniques
Building on the first exercise, we will learn new techniques such as classification, regression, and evaluating algorithms using the Python.
Acquiring and Cleaning Data
We will look at where to collect data from and how to clean it and manipulate it into the right format to processing using Python.
We will look at ways to present and visualise data and implement some code to visualise our data using the Python.
Data Science Challenge
We will look at some typical data science questions and then work collaboratively to investigate and report back our answers.