markdown_files/Data_Analysis_with_Python.md

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title: Data Analysis with Python
original_url: >-
  https://tds.s-anand.net/#/data-analysis-with-python?id=data-analysis-with-python
downloaded_at: '2025-06-08T23:24:24.926726'

Data Analysis with Python

You’ll learn practical data analysis techniques in Python using Pandas, covering:

• Reading Parquet Files: Utilize Pandas to read Parquet file formats for efficient data handling.
• Dataframe Inspection: Methods to preview and understand the structure of a dataset.
• Pivot Tables: Creating and interpreting pivot tables to summarize data.
• Percentage Calculations: Normalize pivot table values to percentages for better insights.
• Correlation Analysis: Calculate and interpret correlation between variables, including significance testing.
• Statistical Significance: Use statistical tests to determine the significance of observed correlations.
• Datetime Handling: Extract and manipulate date and time information from datetime columns.
• Data Visualization: Generate and customize heat maps to visualize data patterns effectively.
• Leveraging AI: Use ChatGPT to generate and refine analytical code, enhancing productivity and accuracy.

Here are the links used in the video:

• Data analysis with Python - Notebook
• Card transactions dataset (Parquet)
• 10 minutes to Pandas
• Python Pandas tutorials

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