markdown_files/Data_Analysis_with_SQL.md

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title: Data Analysis with SQL
original_url: https://tds.s-anand.net/#/data-analysis-with-sql?id=data-analysis-with-sql
downloaded_at: '2025-06-08T23:22:33.461136'

Data Analysis with SQL

You’ll learn how to perform data analysis using SQL (via Python), covering:

• Database Connection: How to connect to a MySQL database using SQLAlchemy and Pandas.
• SQL Queries: Execute SQL queries directly from a Python environment to retrieve and analyze data.
• Counting Rows: Use SQL to count the number of rows in a table.
• User Activity Analysis: Query and identify top users by post count.
• Post Concentration: Determine if a small percentage of users contribute the majority of posts using SQL aggregation.
• Correlation Calculation: Calculate the Pearson correlation coefficient between user attributes such as age and reputation.
• Regression Analysis: Compute the regression slope to understand the relationship between views and reputation.
• Handling Large Data: Perform calculations on large datasets by fetching aggregated values from the database rather than entire datasets.
• Statistical Analysis in SQL: Use SQL as a tool for statistical analysis, demonstrating its power beyond simple data retrieval.
• Leveraging AI: Use ChatGPT to generate SQL queries and Python code, enhancing productivity and accuracy.

Here are the links used in the video:

• Data analysis with databases - Notebook
• SQLZoo has simple interactive tutorials to learn SQL
• Stats database that has an anonymized dump of stats.stackexchange.com
• Pandas read_sql
• SQLAlchemy docs

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