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Saturday, August 12, 2023 , ,
Language: English - Level: Beginner - Number of Lessons: 78 - Duration: 5 hours and 26 minutes.

Statistics for Business Analytics: Data Analysis with Excel is a training course on the importance of statistics in business and business data analysis in Excel software, published by Udemy Academy. Statistical modeling is a very important skill for data analysts, and in this training course you will practice this skill with Excel software. Today, data has included all parts of our lives, and the success of business and various decisions in various industries depends on access to appropriate data and their correct analysis. The world is moving day by day towards a purely data-centric direction, and in this direction, many job positions have been created for data engineers and analysts.

This course is completely comprehensive and includes all the details of statistical modeling and business analysis. What you will learn?: Data Analysis with Excel:Basic principles and basics of statistics and their application in the world of business and various industries + Carrying out data analysis and analysis projects in the powerful Excel software environment + Various statistical methods and their exploitation to solve business problems and finalize data-driven decisions + Statistical assumption test with Excel software + Data-driven decision making and its principles + Business data analysis with descriptive statistics and statistical inference in Excel software + Construction and interpretation of various statistical models based on business data + Implementation of statistical analysis or regression analysis in Excel software to predict the future + Different techniques for analyzing huge and large data sets + Evaluation of different scenarios using available data ...
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Sunday, August 06, 2023 , , ,
Language: English - Education Time: 7 hours and 28 minutes - Level: Elementary, Secondary - Size: 2.72 GB.

Data analysis is one of the leading jobs in the current technology market. As per the forecasts of Glassdoor and World Economic Forum, the demand for data scientists will also increase in the next few years. We are generating huge data every day from different domains like Social Media, Healthcare, Sensor data… we have a great tool to analyze them and the tool is R. R programming is a powerful language used widely for data analysis and statistical computing. It is completely free and has rich repositories for packages.

In this course first, you will learn how to install R and start programming on it. It will also help you to know the programming structures and functions. This R programming in Data Science and Data Analytics covers all the steps of Exploratory data analysis, Data pre-processing, and Modelling process. In EDA sections you will learn how to import data sets and create data frames from it. Then it will help you to visualize the variables using different plots. It will give you an initial structure of your data points. In Data pre-processing sections you will get the full idea of Missing value & outliers treatment and data split methods. Finally, you will be able to generate machine learning models using Linear and Logistic Regression.

This R programming for data science and data analytics is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!
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Tuesday, August 01, 2023 ,
Yuan Jiang ... 281 pages - Publisher: Artech House; (September, 2010) - Language: English - ISBN-10: 1608070883 - ISBN-13: 978-1608070886.

This practical resource provides engineers with a comprehensive understanding of error control coding, an essential and widely applied area in modern digital communications. The goal of error control coding is to encode information in such a way that even if the channel (or storage medium) introduces errors, the receiver can correct the errors and recover the original transmitted information. This book includes the most useful modern and classic codes, including block, Reed Solomon, convolutional, turbo, and LDPC codes. Professionals find clear guidance on code construction, decoding algorithms, and error correcting performances. Moreover, this unique book introduces computer simulations integrally to help readers master key concepts. Including a companion DVD with MATLAB programs and supported with over 540 equations, this hands-on reference provides an in-depth treatment of a wide range of practical implementation issues. DVD is included! It contains carefully designed MATLAB programs that practitioners can apply to their projects in the field.
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Saturday, July 22, 2023 , ,
Punit Gupta, Dinesh Kumar Saini, Pradeep Singh Rawat, Kashif Zia ... 268 pages - Language:‎ English - Publisher: ‎Auerbach Publications; (January, 2023).

A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems?

Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature.

The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how: The existing fog and edge architecture is used to provide solutions to future challenges. + A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare. + An optimization framework helps in cloud resource management. + Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production. + Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers. + The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.
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Sunday, July 16, 2023 , ,
Mao-Hung Yo ... 341 pages - Language:‎ English - Publisher: Springer (July, 2023) - AmazonSIN: B0C3PMPR3F.

This book focuses on the unified solutions and analysis for the problems in soil mechanics based on the unified strength theory, which is a new theory on the yield and failure of materials under multi-axial stresses. Then, it provides a system of yield and failure criteria adopted for most materials, from metallic materials to rocks, concretes, soils, polymers, etc. It includes the Tresca criterion, Mohr–Coulomb theory, and Mises criterion as well, which are special cases or linear approximation of the UST.
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Sunday, July 09, 2023 , ,
A. C. Faul ... 334 pages - Language: English - Publisher: Chapman and Hall/CRC; (August, 2019) - AmazonSIN: ‎B07VYV4NLM.

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques.
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Tuesday, July 04, 2023 , ,
Franz Kronthaler ... 367 pages - Language: English - Publisher: ‎Springer; (November, 2022) - ISBN-10: 3662643189 - ISBN-13: 978-3662643181.

This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can be easily transferred to other data sets. 

Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform.
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Sunday, June 25, 2023 , ,
Jonathan Schwabish ... 384 pages - Language: English - Publisher: A.K. Peters/CRC Press; (May, 2023) - ISBN-10: ‎1032343265 - ISBN-13: ‎978-1032343266.

This book closes the gap between what people think Excel can do and what they can achieve in the tool. Over the past few years, recognition of the importance of effectively visualizing data has led to an explosion of data analysis and visualization software tools. But for many people, Microsoft Excel continues to be the workhorse for their data visualization needs, not to mention the only tool that many data workers have access to. Although Excel is not a specialist data visualization platform, it does have strong capabilities. The default chart types do not need to be the limit of the tool’s data visualization capabilities, and users can extend its features by understanding some key elements and strategies.

Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.
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Sunday, June 18, 2023 , ,
Shuvra Das ... 313 pages - Language: ‎English - Publisher: ‎Springer (March, 2023) - AmazonSIN: ‎ B0BSF5M5RL.

This book is an attempt to develop a guide for the user who is interested in learning the method by doing. There is enough discussion of some of the basic theory so that the user can get a broad understanding of the process. And there are many examples with step-by-step instructions for the user to quickly develop some proficiency in using FEA. We have used Matlab and its PDE toolbox for the examples in this text. The syntax and the modeling process are easy to understand and a new user can become productive very quickly. The PDE toolbox, just like any other commercial software, can solve certain classes of problems well but is not capable of solving every type of problem. For example, it can solve linear problems but is not capable of handling non-linear problems. Being aware of the capabilities of any tool is an important lesson for the user and we have, with this book, tried to highlight that lesson as well.
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