Data Science for Decision Makers by Erik Herman (.ePUB)+

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File Size: 20.6 MB

Data Science for Decision Makers: Using Analytics and Case Studies by Erik Herman
Requirements: .ePUB, .PDF reader, 20.6 MB
Overview: This book is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today’s fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital. It bridges the complex world of Data Science and the strategic decision-making process, providing readers with the knowledge and tools they need to leverage data effectively. With a clear focus on practical application, this book demystifies key concepts in Data Science, from data collection and analysis to predictive modeling and visualization. Via real-world examples, case studies, and actionable insights, readers will learn how to extract insights from data and translate them into strategies that drive organizational growth. Whether you’re a seasoned executive looking to sharpen your strategic acumen or a manager seeking to enhance your team’s data literacy, this essential reference provides the foundation to navigate the complex landscape of Data Science. Python libraries like Pandas and NumPy are essential for data manipulation and analysis, offering powerful functions for handling structured data. Python libraries such as Matplotlib, Seaborn, and Plotly, and JavaScript libraries like D3.js and Highcharts are widely used for creating static and interactive visualizations.
Genre: Non-Fiction > Tech & Devices

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