Engage with each other and the programme, and explore the data science domain and essential data science competencies in this module. Discover your learning preferences and practice how to work with your action learning group.

Build on your pre-existing programming knowledge and give you a practical start with basic and intermediate level Python programming such as functions, iterators and lists. You will also be introduced to object-oriented programming (OOP)

Build on your skills in DataFrames in pandas, learn how to leverage pandas’ powerful data manipulation engine by extracting, filtering, and transforming data. 

Acquire the understanding and the skills to wrangle and extract data from relational databases using a language called SQL.

Become a master at communicating your insights by creating interactive data visualisations and hone your hacker statistics toolbox by performing statistical inferences, constructing and testing your hypotheses.

Deep dive into the brains of data science and artificial Intelligence, machine learning. Build predictive models and evaluate how well they perform in different scenarios.

Start your journey on deep learning, also known as neural networks, starting from the theoretical foundations and ending up in building your own neural networks.You will be introduced to certain ethics limitations of ML and also how interpretability of the ML models can help ease these concerns.