CareerIntermediate14 hours of learning

AI Data Analysis

Use AI to analyze data, create visualizations, and generate insights. From spreadsheets to Python — no statistics degree required.

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Chapter 1

AI for Data Analysis: Overview

AI can clean messy data, find patterns, create charts, write SQL queries, and generate reports. Tools: ChatGPT Code Interpreter, Julius AI, Tableau AI, Python with pandas. Start with your data in CSV or Excel.

Chapter 2

Data Cleaning and Preparation with AI

Upload messy data to ChatGPT. Ask it to: identify missing values, suggest imputation methods, remove duplicates, standardize formats, create new columns. AI generates the code to clean your data.

Chapter 3

Analysis and Insights Generation

Ask AI to: compute summary statistics, segment data by categories, identify correlations, perform trend analysis, create cohort analysis. Always verify insights against raw data.

Chapter 4

Data Visualization with AI

AI creates chart code (matplotlib, plotly, seaborn). Describe the chart you want and the data. Ask for: bar charts, heatmaps, scatter plots, time series, dashboards. Customize colors and styling.

Chapter 5

Automated Reporting and Dashboards

Build automated reports: data source → AI analysis → formatted report. Tools: Google Sheets + Apps Script, Python scripts, Streamlit dashboards. Schedule regular reports with AI summarization.

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