Python for Data Analysis - Sue Bayes

Sue Bayes shows us how to analyse data with Python starting with the basics and focussing on actionable knowledge. If you are interested in understanding what Python is and how to use it, this talk is for you.
Topics:

• Introduction to Python and data analysis
• Python basics: syntax, variables, data types, control structures, functions and libraries
• The Pandas library: dataframes and series, data import/export, filter, sort
• Data cleaning & visualisation e.g., handling missing data
• Visualisation with the matplotlib/seaborn packages

This session aims to unlock Python’s potential for data analytics, making it accessible and practical for professionals seeking to enhance their analytical skills.

Speaker Bio
Our speaker,Sue Bayes, is a Microsoft certified Azure Enterprise Data Analyst Associate and Power BI Data Analyst Associate. She has over five years of independent work as a Power BI developer and data analyst, and delivered comprehensive reporting solutions across both public and private sectors. Her expertise spans a diverse range of areas including project management, financial reporting, sector-specific analysis, and bespoke data cleansing. improvements.

Her technical proficiency encompasses a broad spectrum of tools and languages including R, Python, SQL, C#, as well as M and DAX. Prior to founding DataBayes Ltd., she spent 15 years as a lecturer in Business and Computing, a role that honed her teaching skills and deepened her passion for data analytics.

Python, in particular, has been a focus of her teaching. It is an exceptionally useful language for data analytics, owing to its simplicity and the powerful suite of tools it offers.