Data Science for Beginners Online Short Course

Details

Topics covered

• Introduction to Data Science: looking at what data science is and some typical data science applications
• Being a Data Scientist: looking at what data scientists do and the tools they use
• The Machine Learning Process: working through a small example project, understanding the general approach and process for organising and executing a typical machine learning task using Python
• Use of “unplugged” (i.e. non-computer based) activities to reinforce understanding
• Build more Machine Learning Techniques: building on the first exercise, we will learn new techniques such as classification, regression, and evaluating algorithms using Python
• Acquiring and Cleaning Data: looking at where to collect data from and how to clean it and manipulate it into the right format using Python
• Data Visualisation: looking at ways to present and visualise data and implement some code to visualise our data using Python
• Data Science Challenge: looking at some typical data science questions and then working collaboratively to investigate and report back our answers

Materials

Online short course materials

To take part in the Online sessions you will need:

• An up-to-date web browser (we recommend Chrome)
• Microphone and headphones (a headset with a microphone function is recommended. The built-in microphone in your device would also be fine)
• Webcam
• Strong Internet connection - we recommend a minimum of 2 Mbps download, and 1 Mbps upload, faster if possible. You can test your network speed here - https://www.speedtest.net

Please bring for the first session:

• notebook and pen