May 1, 2024
Updated May 9, 2025
22 minute read
Big Data Analytics is the process of examining large and complex datasets, often referred to as "big data," to uncover hidden patterns, unknown correlations, market trends, and customer preferences. The primary aim is to extract actionable insights that provide tangible value, enabling organizations to make more informed strategic decisions, identify new opportunities, and foster innovation. This field has become increasingly vital as the amount of data generated from diverse sources like social media, Internet of Things (IoT) sensors, financial transactions, and smart devices continues to grow exponentially.
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Find a path to becoming a Big Data Analytics. Learn more at:
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Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Big Data Analytics.
This comprehensive guide to Hadoop is written by one of the project's original developers. It covers all aspects of Hadoop, from installation and configuration to programming and optimization. It must-read for anyone who wants to learn more about Hadoop.
This comprehensive textbook provides a broad overview of big data analytics, covering topics such as data collection, storage, processing, analysis, and visualization. It is suitable for both beginners and experienced practitioners.
Explores the intersection of machine learning and big data. It covers topics such as supervised and unsupervised learning, feature engineering, and model evaluation. It is suitable for readers with a background in machine learning who want to learn how to apply their skills to big data problems.
Explores the applications of big data analytics in healthcare. It covers topics such as electronic health records, medical imaging, and disease surveillance. It valuable resource for healthcare professionals and researchers who want to learn how to use big data to improve patient care.
Provides a comprehensive introduction to Spark, a popular open-source framework for big data processing. It covers all aspects of Spark, from installation and configuration to programming and optimization. It valuable resource for anyone who wants to learn more about Spark.
This classic textbook covers the fundamental concepts of data mining, including data cleaning, transformation, and visualization. It also introduces a variety of data mining algorithms, such as decision trees, clustering, and association rules. It valuable resource for anyone who wants to learn more about data mining.
Provides a comprehensive introduction to natural language processing, a subfield of artificial intelligence that deals with the understanding of human language. It covers topics such as text classification, language modeling, and machine translation. It valuable resource for anyone who wants to learn more about natural language processing.
Focuses on the use of Hadoop, a popular open-source framework for big data processing. It provides detailed instructions on how to install and use Hadoop, as well as how to develop and deploy big data analytics applications.
Provides a comprehensive overview of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone who wants to learn more about machine learning.
This hands-on guide provides step-by-step instructions on how to implement big data analytics projects. It covers topics such as data engineering, data mining, and machine learning. It is suitable for readers with some experience in data analysis.
This practical guide introduces the fundamental concepts of data analytics, including data cleaning, transformation, and visualization. It is written in a clear and concise style, making it accessible to readers with no prior experience in the field.
This approachable book is designed for readers with no prior knowledge of big data. It covers the basics of big data, including data collection, storage, processing, and analysis. It good starting point for those who want to learn more about the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/etivxz/big
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