Big Data Analysis with Python
Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control the data avalanche for you. With this book, you'll learn effective techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.
Offered by
Difficulty Level
Intermediate
Completion Time
9h12m
Language
English
About Book
Who Is This Book For?
Big Data Analysis with Python is designed for Python developers, data analysts, and data scientists who want to get hands-on with methods to control data and transform it into impactful insights. Basic knowledge of statistical measurements and relational databases will help you to understand various concepts explained in this book.
Big Data Analysis with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h12m total length
The Python Data Science Stack
Statistical Visualizations
Working with Big Data Frameworks
Diving Deeper with Spark
Handling Missing Values and Correlation Analysis
Exploratory Data Analysis
Reproducibility in Big Data Analysis
Creating a Full Analysis Report
Related Resources
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