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Getting Started with Python in Microsoft Fabric
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This is an Online event, the Teams link will be published on the right of this page for those who have registered. 18:30: Getting Started with Python in Microsoft Fabric - Sue Bayes 19:55 Prize Draw - Packt eBooks
Session details: 1. Getting Started with Python in Microsoft Fabric - Sue Bayes In this introductory session, you'll gain practical experience with Python in Microsoft Fabric. We'll start with connecting to a Lakehouse, exploring how to access and navigate data within Fabric. Attendees will learn various methods to ingest data, including uploading files directly. You’ll also discover how to use Python commands to make modifications to your data, such as cleaning, transforming, and preparing it for analysis. Finally, we’ll cover efficient ways to save and export your data, ensuring that your work is ready for further use.
Whether you’re a complete beginner or looking for a structured introduction, this session provides the nuts and bolts of getting started with Python in Fabric—empowering you to confidently take the next steps in your data journey.
This event is sponsored by Humand Talent Solutions, who provide the best technical talent for local start-ups and scale-ups, and Packt Books who provide the eBooks for the prize draw.
Bio: Sue Bayes Data Platform MVP Microsoft Certified: Azure Enterprise Data Analyst Associate Microsoft Certified: Power BI Data Analyst Associate
Over 5 years successfully working as an independent Power BI developer and data analyst within the public and private sector. Reporting solutions range from project management, planning , financial reporting, specific service sector reporting, bespoke data cleansing and sentiment analysis. 15 years of lecturing in Business and Computing before starting my own business. I am passionate about data in general and how we can harness information to grow business. Knowledge of R, Python, SQL and C# but main love is M and DAX.
When not in front of the screen, I love to run and walk my dog and be outside.
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