The.Hottest

Sunday, April 06, 2025 , , ,
Andres Fortino ... 440 pages - Language:‎ English - Publisher:‎ Mercury Learning and Information; (January, 2025).

In today’s data-driven world, the ability to analyze and interpret data is no longer optional-it’s a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you’ll gain the skills to make data-backed decisions that drive business success.

Features: • Includes hands-on exercises with industry-standard tools, including Excel, R, Python, and generative AI • Covers step-by-step instructions for advanced techniques like time series forecasting and contingency analysis • Uses real-world case studies to demonstrate the application of concepts to business scenarios
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Saturday, March 29, 2025 , ,
Ashoke Kumar Dasgupta ... 372 pages - Language:‎ English - Publisher: ‎CRC Press; (March, 2025).

This book aims to provide actual methods of calculation and standard details followed by professionals in industrial projects pertaining to Reinforced Cement Concrete (RCC) structures backed by practical design and standard details. It covers the engineering properties of soil and types of tests, different types of concrete grades, standard notes and codes, and workout examples of piles, foundations and superstructure elements. It provides all of the standard construction details, including reinforcement arrangements, generally used for RCC works in superstructures and foundations.

Features: Provides the strength design calculation for foundation and settlement analysis of the founding soil together + Discusses standard details of reinforced concrete joints and reinforcement placement + Describes suitable types of material and selection of structure according to the nature of the founding soil and service life of the plant + Explores standard construction details + Includes solved problems, design and workout examples as per Indian and US standards. This book is aimed at professionals in construction, structural and civil engineering.
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Thursday, March 20, 2025 , , ,

Nitin Jaglal Untwal, Utku Kose ... 138 pages - Language: ‎ English - Publisher: ‎ CRC Press; (December, 2024).

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you’ll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction. Through real-world case studies and examples, you’ll learn how to: Uncover hidden patterns and trends in financial data Build predictive models that drive investment decisions Optimize portfolio performance using data-driven insights Stay ahead of the competition with cutting-edge data analytics techniques Whether you’re a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve. This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics.

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