Big data is not all about digitalising existing data. It is also about collecting our lifestyle in data and displaying them in real time. Data must always be made available to the public in an understandable form for the correct application domain and portion so that it becomes intelligent while not compromising others’ privacy and security.

The demand for data scientists has increased significantly as the field of big data has grown. In the industry, skilled individuals who can leverage the information extracted from data using big data tools and techniques are required. Data scientists require a wealth of knowledge, not only from practical experience but also from reading various big data books.

Data Science and Machine Learning: Mathematical and Statistical Methods

This book offers comprehensive and rigorous information on the mathematics underlying modern machine learning techniques. This book’s topic selection is current and appropriate for a data science course for advanced undergraduate and early graduation mathematics students.

Key Features:

• Focuses on mathematical understanding.
• Presentation is self-contained, accessible, and comprehensive.
• Extensive list of exercises and worked-out examples.
• Many concrete algorithms with Python code.
• Full color throughout.

Download Here: DSML

The Numbers Game Deciphered

This 11-page e-book provides a clear and concise overview of the big data world. It begins by setting the stage discussing the most significant developments in data science. It explains who data scientists are and what their roles are, as well as the history of big data.

Download Here: The Numbers Game

Ethics of Big Data

This book provides a framework for fruitful debate and perspectives on the ethics of big data technologies and business environments. With the increasing size and scope of information provided by big data, it is critical to understand the importance of adhering to ethical practices based on a common operational framework. This e-book will help its readers understand and apply ethics when using big data for business operations.

8 Essential Concepts of Big Data and Hadoop

This e-book will be a valuable asset for understanding the fundamentals of big data and Hadoop. It is a quick primer on the fundamentals of big data concepts and Hadoop fundamentals that will bring readers up to speed on the details of the one tool that will outperform all others in the future. This e-book provides a solid foundation in the world of big data and assists in navigating the technology ecosystem.

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Secret to Unlocking Tableau’s Hidden Potential

Tableau simplifies and makes analytics accessible not only for data analytics but also for top executives such as IT professionals, tech business leaders, and everyone in between. It is also regarded as a market leader in self-service business intelligence. This book contains helpful hints, hacks, and secret techniques for reaping the full benefits of Tableau.

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Top Programming Languages For A Data Scientist

This e-book provides a comprehensive overview of the programming languages that aspiring data scientists should learn in order to have a successful career in big data and data science. Readers will find brief descriptions and the complexities of learning each programming language, such as Java, Python, Ruby, SQL, and others.

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