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
You 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. You will then repeat this task on a computer using Python.
Build more Machine Learning Techniques
Building on the first exercise, you will learn new techniques such as classification, regression, and evaluating algorithms using the Python.
Acquiring and Cleaning Data
You will learn how to collect data and how to clean it and manipulate it into the right format for processing using Python.
You will learn how to use various visualisation techniques to understand the data.
Data Science Challenge
We will look at some typical data science questions. You will work individually or collaboratively on a specific challenge, and investigate and report back your findings.
Prices depend on location and start around £160 (£120 concs). See individual dates for details.
Skills you should have before you attend
Ideally you should have some exposure to Python programming, but this is not essential.
Skills you will pick up in the course
Key skill categories
- Data analysis
- Python programming
- AI and data science
- Data visualisation
On successful completion of this course, students will be able to
- Understand the typical tasks and activities of a data scientist.
- Load and manipulate data sets.
- Write Python code to analyse data.
- Write Python code to visualise data.