Data Management in Python

Data Science Institute delivers academically accredited, fully online programmes and professional certifications in Data Science, AI and Machine Learning. Designed with guidance from our Industry Advisory Board and taught live by expert faculty, each part-time course blends hands-on labs, real projects and personalised support so you can earn a globally recognised credential while you work. Join our free briefings, taster classes and masterclasses to map your next step in a data-driven career.

Data Science Institute

Learn how to clean, organise and prepare data in Python, using a simple step-by-step workflow with pandas.

Join Dr Madonna Ghanem for a practical Data Science Institute class on Data Management in Python.This session is designed for learners who want to understand how real data is prepared before it can be analysed. Using a simple, guided workflow, Dr Ghanem will show how to take a small raw dataset and turn it into a clean, organised dataset ready for reporting, dashboards, or further analysis.Learners will be introduced to key data preparation skills, including importing data, checking for missing values, cleaning column names, creating useful new columns, sorting and filtering data, combining simple datasets, and producing a clean final file.The focus is on building confidence and understanding the process, not just copying code. By the end of the class, learners will have a clearer sense of how data analysts prepare messy data and make practical decisions along the way.Date: Wednesday 13 May Time: 5:00pm GMT+1 Instructor: Dr Madonna GhanemThis class is ideal for near beginners, early-stage data learners, and anyone who wants a clear introduction to using Python for everyday data work.

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Data Management in Python

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Data Management in Python

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