July 2017
Beginner to intermediate
312 pages
7h 27m
English
Overview
Dive into the dynamic world of social media analytics with 'Python Social Media Analytics.' This book guides you through acquiring, cleaning, and analyzing data from platforms like Twitter, YouTube, and GitHub using Python. Master these techniques to harness the power of social data and uncover actionable insights for your business or personal projects.
What this Book will help me do
- Understand how to gather and preprocess data from social platforms.
- Analyze Twitter sentiment and Facebook user reactions effectively.
- Use Python tools to extract insights from YouTube and Pinterest data.
- Store and manage social media data efficiently with MongoDB and PyMongo.
- Perform scalable analytics using cloud frameworks like Spark.
Author(s)
The authors, Baihaqi Siregar, Michal Krystyanczuk, and Siddhartha Chatterjee, bring a combined wealth of knowledge in data analytics and Python programming. They have a proven track record in guiding readers through technical concepts with a practical and approachable writing style, ensuring you can confidently apply what you learn to real-world scenarios.
Who is it for?
This book is ideal for programmers or data analysts familiar with Python, seeking to analyze social media data for actionable insights. Whether you're new to data analysis processes or looking to expand your skills, this book offers a clear and structured path to mastering social media analytics.
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