Data Science for Beginners Online Short Course

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

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