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Enrollment openData ScienceIntermediate
Python for Data Analysis
Use Python, Pandas and visualization libraries to explore, clean and analyze real datasets.
Objectives
- Manipulate data with Pandas and NumPy
- Clean and prepare datasets
- Perform exploratory data analysis
- Visualize results with Matplotlib and Seaborn
Target audience
Analysts and professionals who want to automate and improve the reliability of their data analysis.
Prerequisites
No programming experience required; basic logic skills are an asset.
Skills you will gain
PythonPandasData cleaningVisualization with Matplotlib/Seaborn
Detailed programme
Modules 1
Python fundamentals
Syntax, data structures and best practices.
Modules 2
Data manipulation with Pandas
DataFrames, filtering, aggregation and merging data.
Modules 3
Cleaning and preparation
Missing values, duplicates and normalization.
Modules 4
Data visualization
Matplotlib, Seaborn and charting best practices.
Modules 5
Hands-on project
Complete analysis of a real-world dataset.
Tools used
PythonPandasJupyter Notebook
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