MC04: Python Masterclass
Our Python Masterclass introduces you to the most versatile programming language in data analytics. Designed for beginners and intermediate learners, this workshop equips you with the skills to clean, manipulate, and visualise data using Python’s powerful libraries like Pandas, Matplotlib, and Seaborn.
Introduction to Python for Data Analytics
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Overview of Python’s role in data analytics and its key features.
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Setting up your environment: Jupyter Notebook or Visual Studio Code.
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Writing your first Python script: Understanding syntax, variables, and data types.
Numerical Computing with NumPy
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Understanding arrays, indexing, and slicing.
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Performing mathematical operations and statistics efficiently.
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Practice session: Using NumPy for data analysis and computation.
Data Manipulation with Pandas
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Importing, cleaning, and transforming datasets with Pandas.
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Filtering, grouping, and aggregating data for analysis.
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Hands-on activity: Cleaning and reshaping a messy dataset.
Data Visualisation with Matplotlib and Seaborn
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Creating line charts, bar graphs, and scatterplots with Matplotlib.
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Enhancing visualisations with Seaborn: Heatmaps, pair plots, and custom styles.
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Practice session: Visualising trends and relationships in business data.
Real-World Application Project
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Creating line charts, bar graphs, and scatterplots with Matplotlib.
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Enhancing visualisations with Seaborn: Heatmaps, pair plots, and custom styles.
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Practice session: Visualising trends and relationships in business data.