Introduction to Quantitative Social Science with Python

Part 1: "Executive Track" 1. Introduction to Data Analysis in Social Science 2. Data Collection and Cleaning 3. Descriptive and Exploratory Analysis 4. Causality and Hypothesis Testing 5. Linear Regression Analysis 6. Classification 7. Complex Network Analysis 8. Text As Data Part 2: "Technical Track" 9. Python Programming Fundamentals 10. Data Collection and Cleaning 11. Condition Checking and Descriptive and Exploratory Analysis 12. Loops and Hypothesis Testing 13. User-Defined Functions and Regression Analysis 14. Generators and Classification 15. More Generators and Network Analysis 16. Sets. Text as Data Conclusion A. Solutions to Select Exercises Bibliography

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• Ciência da Computação
• Probabilidade e Estatística
• Metodologia psicológica
• Mineração de Dados

Python;Network Analysis;Linear Regression Analysis;Data Analysis;Data Collection