This is part of the #30DaysOfDataScience. In the series we will go from understanding the Python language to working with real life data and finally creating Machine Learning models both on Azure and in Python.

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What is the session about?
Real world Data is messy.

In this session we will cover Basics of using Python for data exploration with libraries such as Pandas. Additionally, we will explore data techniques for cleaning and transforming the data to handle challenges of missing, inaccurate, or incomplete data.

Who is it aimed at?
This session is for students, early career and professionals who are interested in setting themselves up to starting working with Data Science using Python

Why should you attend?
This session guides you on how to work with real life data and ensure your data is ready for modelling.

Speaker Bio:

Korey Stegared-Pace, Regional Cloud Advocate, Microsoft

Korey has a passion for both educating and inspiring others on what is possible with AI and how they can use it to build a new generation of products. He has mentored and guided startups through both the challenges and successes of working with AI. As a Cloud Advocate in the Microsoft Stockholm Reactor, his main goal is to expand AI literacy, support developers, and grow the AI community in Stockholm and beyond.

Connect with Korey:
Twitter: https://twitter.com/koreyspace
Linkedin: https://www.linkedin.com/in/koreypace/