Learning Data Science
Learning Data Science
About the Bundle
Big Data Analytics
The book is intended to give you a Data Scientist’s point of view and the thought process in the field of Big Data Analytics. At the end of this book, you should be able to define your journey on a Big Data Analytics project.
The book is designed to walk you through the various stages of a data analytics project, concepts and possible avenues when dealing with huge and overwhelming amounts of structured and unstructured data. It is crisp and concise roadmap on a Big Data project.
The book contains graphical representations and numerous examples to enable effective learning and understanding of the concepts. Also, leverages scenario examples to showcase where our understanding could falter and concepts could be applied inaccurately, to reinforce learning and fence the concept for caveats.
This is your go-to book for understanding difficult concepts in Big Data Analytics in a lucid language.
Complimentary chapters included – Short description and distinguishing factors on the various Machine Learning Models, data visualizations and storyboarding techniques; in which scenarios they are most appropriate to be leveraged to empower you to make relevant decisions related to the analytics approach.
Sampling Techniques
The book is intended to give you a comprehensive understanding of the Sampling Techniques. At the end of this book, you should be able to define the data collection process and choose the sampling technique that works best for your data.
The book is designed in a student-friendly manner and explains the core concepts and terminologies using real-world examples. Remember the time we took our tests and jotted down a list of important points along with some pictorial representations to retain a concept, term or jargon... well we just did that with this book! This is your go-to book for understanding difficult concepts in Sampling Techniques in a lucid language.
Complimentary chapters included – Types of data collection and Probability for a holistic view of the Sampling Techniques.
Keep On Learning!
About the Books
Big Data Analytics
Data Scientist’s Viewpoint
The book is intended to give you a Data Scientist’s point of view and the thought process in the field of Big Data Analytics. At the end of this book, you should be able to define your journey on a Big Data Analytics project.
The book is designed to walk you through the various stages of a data analytics project, concepts and possible avenues when dealing with huge and overwhelming amounts of structured and unstructured data. It gives you a crisp and concise roadmap to building a project plan.
The book contains graphical representations and numerous examples to enable effective learning and understanding of the concepts. Also, leverages scenario examples to showcase where our understanding could falter and concepts could be applied inaccurately, to reinforce learning and fence the concept for caveats. This is your go-to book for understanding difficult concepts in Big Data Analytics in a lucid language.
Complimentary chapters included – Short description and distinguishing factors on the various Machine Learning Models, data visualizations and storyboarding techniques; in which scenarios they are most appropriate to be leveraged to empower you to make relevant decisions related to the analytics approach.
Sampling Techniques
A Comprehensive Overview
The book is intended to give you a comprehensive understanding of the Sampling Techniques. At the end of this book, you should be able to define the data collection process and choose the sampling technique that works best for your data.
The book is designed in a student-friendly manner and explains the core concepts and terminologies using real-world examples. Remember the time we took our tests and jotted down a list of important points along with some pictorial representations to retain a concept, term or jargon... well we just did that with this book!
This is your go-to book for understanding difficult concepts in Sampling Techniques in a lucid language.
Complimentary chapters included – Types of data collection and Probability for a holistic view of the Sampling Techniques.
Keep on Learning!
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