What 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 PythonÂ
- Create 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
- Understand the basic workings of a machine learning model and its relationship to data science, Big Data and Artificial Intelligence.
- Apply to real-world machine learning examples to meet practical objectives such as evaluating and improving the model, and error detection/correction.
About this certificate
This course will provide a view of what lies under the surface of a machine learning output, help to better interrogate a model, and partner with data scientists and others in an organisation to drive adoption and use of machine learning. ​Digital finance knowledge and skills are essential components of the technology transformation as business becomes increasingly customer focused. And having the skills to understand how these technologies are deployed and integrated into a customer centric business strategy is essential. With 16 Jupyter Notebooks available, alongside corresponding solution notebooks, and bonus exercises you will quickly become skilled in specific time-saving Machine.Key information
- self-paced interactive learning
- complete all 20 hours of learning and assessment to gain your certificate to show your knowledge
