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Programming with Python for Social Scientists

Master Python Programming for Social Science Research with Practical Techniques

SLPB

Created by Sage Publishing Limited, Phillip D. Brooker

Explore how Python can transform your social science research by making data collection, analysis, and visualization more efficient. Through practical, research-focused examples, you will learn to apply programming skills directly to your projects and gain confidence working with real-world data.

Sage Publishing | May 2026 | 328 min

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LevelBeginner
CategoriesData Science, Object-Oriented Programming (OOP) and Related Languages, Python

What You Will Learn

You will build your skills step by step, starting with Python basics and advancing to more complex programming concepts. Each topic is grounded in real research scenarios, from web scraping to handling social media APIs. By applying what you learn to practical projects, you will see immediate results in your research workflow.

Key Features

  • Collect and analyze research data using Python tools designed for social scientists
  • Work with multiple data formats including CSV, JSON, and XML for flexible analysis
  • Visualize findings clearly to communicate insights and support your research conclusions

Target Audience

Designed for social scientists, researchers, and students who want to use Python in their work. If you have a basic understanding of research methods but little or no programming experience, you will find the content accessible and directly relevant to your goals in data collection, analysis, and visualization.

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