Data Analytics Toolkit
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Data Analytics Toolkit
Author: Eric Gaze
language: en
Publisher: Addison-Wesley Professional
Release Date: 2025-01-10
Expand your data analysis toolkit with Python, R, and Tableau Data Analytics Common Core is designed to help professionals transition from spreadsheet-based analysis to more powerful tools like Python, R, and Tableau. With spreadsheets being the foundation of modern data analysis, this book bridges the gap for those without innate programming skills, offering a practical guide to enhancing your data analysis toolkit. Through a series of real-world case studies, the book demonstrates how to create the same graphics using Excel, Tableau, Python, and R. By starting with Excel and gradually moving to more advanced tools, readers will learn the strengths and limitations of each platform. This comparative approach not only teaches how to use these tools but also deepens understanding of core data analysis concepts, making it easier to choose the right tool for each task. Ideal for both beginners and those looking to expand their existing skills, Data Analytics Common Core provides step-by-step instructions, including software installation and file management, to ensure a smooth transition. Whether you're just starting out or looking to enhance your data visualization and analysis capabilities, this book is a valuable resource for mastering Python, R, and Tableau.
Big Data Analytics Toolkit for Business Data Based on Social Network Analysis
Social network analysis (SNA) measures the relationships and structures with a set of metrics by building graphs for capturing influential actors and patterns. In this thesis, we investigate the SNA approaches for solving real-world business applications, and propose a general-purpose software system that combines big data analytics and social network analysis techniques. The system's workflow consists of data collection, graph generation, graph reuse, network property calculation, SNA result interpretation, and application integration. The system operations are executable in a Hadoop-based distributed cluster with high throughput on large-scale data. We evaluate our prototype system with a case study on stock network. The result shows that the system is capable of analyzing business data at-scale and using SNA approach to solve business problems.
Big Data Analytics
The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.