10:20 - 11:20
Workshop (60 min)
Part 1/2: Learning Data Science in Python
Want to perform Data Science but don’t know how to go about it? Have a dataset that you really want to analyze but not sure where to start?
This hands-on session teaches how to explore datasets, use Machine Learning algorithms and derive insights from predictive models using popular tools in Python like Jupyter, pandas, sklearn and numpy. This tutorial is aimed at budding data scientists who have previous programming experience, though it doesn’t have to be in Python.
By the end of this tutorial, participants will be able to clean and investigate datasets, create and evaluate predictive models and visualize the results. The vision is that participants feel motivated to create or pick up a dataset, investigate it and answer questions based on the insights derived - whether it’s to make informed business decisions or book a flight that is likely to be on time.