You will learn:
- an introduction to Python explaining foundational concepts like data types, variables, mathematical operators, flow control, and functions
- using Python for data analysis including how to load data from different sources, and explore data visualisation libraries.
- automating Excel workflows using Python
- creating template reports that update live with the latest data.
- how to better interrogate a model, and partner with data scientists and others in an organisation to drive adoption and use of Machine Learning
- how to understand the basic workings of a machine learning model and its relationship to data science, Big Data and Artificial Intelligence.
- how to apply to real-world machine learning examples to meet practical objectives such as evaluating and improving the model, and error detection/correction.
