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Leadership in Statistics and Data Science: Planning for Inclusive Excellence
by Amanda L. GolbeckThis edited collection brings together voices of the strongest thought leaders on diversity, equity and inclusion in the field of statistics and data science, with the goal of encouraging and steering the profession into the regular practice of inclusive and humanistic leadership. It provides futuristic ideas for promoting opportunities for equitable leadership, as well as tested approaches that have already been found to make a difference. It speaks to the challenges and opportunities of leading successful research collaborations and making strong connections within research teams. Curated with a vision that leadership takes a myriad of forms, and that diversity has many dimensions, this volume examines the nuances of leadership within a workplace environment and promotes storytelling and other competencies as critical elements of effective leadership. It makes the case for inclusive and humanistic leadership in statistics and data science, where there often remains a dearth of women and members of certain racial communities among the employees. Titled and non-titled leaders will benefit from the planning, evaluation, and structural tools offered within to contribute inclusive excellence in workplace climate, environment, and culture.
Leading for Organisational Change: Building Purpose, Motivation and Belonging
by Jennifer EmeryHarness the seven key elements of successful organisational change Leading for Organisational Change is an intelligent and practical guide to the human side of merger integration and other organisational change. Building a clear sense of common purpose and then reinforcing it through storytelling can underpin the success of an integration or significant change programme. Pulling together the best thinking from neuroscience, psychology and business, and her rich personal experience in twenty years of leading change projects in professional services organisations and other people-centred businesses, author Jennifer Emery presents a framework for change rooted in seven key themes that help organisations establish their BECAUSE: belonging, evolution, confidence, agility, understanding, simplicity and energy. Exploring the role each theme plays in the context of change, this insightful and warm book shares real-world examples and provides advice on building purpose and culture and strengthening motivation through listening, empowering and collaborating. Clear understanding of purpose, powerful communication techniques and carefully planned implementation strategies assist in navigating an often stressful and uncertain period of change, and can even enable organisations to thrive throughout this period. This book encourages you to apply important lessons to your own context, allowing you to: Focus on the human, cultural and practical elements of organisational change Apply central concepts of communication and motivation to a wide array of situations in your personal and business life Understand perspectives on change from a broad range of professional sectors Build and strengthen communication skills to promote a sense of shared purpose Leading for Organisational Change offers a warm and intelligent perspective on the personal and inter-personal factors that contribute to successful integration. An invaluable resource for professional services and people-focused organisations, this book provides advice that can cross sectors and lend insight to any major change programme.
Leading in Analytics: The Seven Critical Tasks for Executives to Master in the Age of Big Data (Wiley and SAS Business Series)
by Joseph A. CazierA step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You’ll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can’t control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big data Learn to define success and failure in analytics and big data projects Set your organization up for analytics success by identifying problems that have big data solutions Bring together the people, the tools, and the strategies that are right for the jobBy learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.
Lean Analytics: Use Data to Build a Better Startup Faster
by Alistair Croll Benjamin YoskovitzWhether you're a startup founder trying to disrupt an industry or an intrapreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products
Lean Analytics: Use Data to Build a Better Startup Faster
by Alistair Croll Benjamin YoskovitzWhether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction.This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without.Understand Lean Startup, analytics fundamentals, and the data-driven mindsetLook at six sample business models and how they map to new ventures of all sizesFind the One Metric That Matters to youLearn how to draw a line in the sand, so you'll know it's time to move forwardApply Lean Analytics principles to large enterprises and established products
Lean Customer Development: Building Products Your Customers Will Buy
by Cindy AlvarezHow do you develop products that people will actually use and buy? This practical guide shows you how to validate product and company ideas through customer development research—before you waste months and millions on a product or service that no one needs or wants.With a combination of open-ended interviewing and fast and flexible research techniques, you’ll learn how your prospective customers behave, the problems they need to solve, and what frustrates and delights them. These insights may shake your assumptions, but they’ll help you reach the "ah-ha!" moments that inspire truly great products.Validate or invalidate your hypothesis by talking to the right peopleLearn how to conduct successful customer interviews play-by-playDetect a customer’s behaviors, pain points, and constraintsTurn interview insights into Minimum Viable Products to validate what customers will use and buyAdapt customer development strategies for large companies, conservative industries, and existing products
Lean Six Sigma im Bankensektor: Operative und strategische Anwendungen für Theorie und Praxis
by Vijaya Sunder M L. S. GaneshDieses Buch untersucht eine Reihe möglicher Wege, Modelle sowie operativer und strategischer Ansätze für Lean Six Sigma (LSS), eine zeitgemäße Praxis der kontinuierlichen Verbesserung (CI) zur Erzielung eines qualitätsbasierten Wettbewerbsvorteils in Organisationen. Fallstudien von Lean-Six-Sigma-Projekten in Bankunternehmen helfen, die operativen Dimensionen von LSS zu veranschaulichen, während die hier vorgestellten fallspezifischen und fallübergreifenden Analysen den strategischen Wert von LSS demonstrieren. Die Falldaten, die zur Gewinnung der Erkenntnisse herangezogen wurden, stammen zwar aus dem Bankensektor, ermöglichen jedoch eine Verallgemeinerung über den Bank- und Finanzdienstleistungssektor hinaus.Das Buch vertritt die Auffassung, dass LSS nicht nur eine KI-Praxis ist, sondern eine übergeordnete organisatorische Fähigkeit, genauer gesagt eine dynamische Fähigkeit, die es Unternehmen ermöglicht, einen auf Qualität basierenden Wettbewerbsvorteil zu erzielen. Das Buch richtet sich an Praktiker und Forscher gleichermaßen und schafft ein Gleichgewicht zwischen Theorie und Praxis.Für Praktiker bietet es einen Leitfaden für den Einsatz von LSS zur Erzielung von Wettbewerbsvorteilen und für evidenzbasierte Praktiken im Qualitätsmanagement und der operativen Exzellenz. Für Wissenschaftler stellt es eine Fülle von Literatur vor und erweitert den Wissensschatz zum Qualitätsmanagement. Dementsprechend ist das Buch sowohl für Praktiker als auch für Forscher von unschätzbarem Wert, da es ersteren hilft, den Wert von LSS sowohl als operative als auch als strategische Ressource zu erschließen, und letzteren potenzielle Forschungsrichtungen und Anwendungen aufzeigt."Dieses Buch vermittelt ein tiefes Verständnis der Lean Six Sigma-Anwendungen. Es inspiriert, indem es die Prinzipien des Konzepts auf ungewöhnliche Bereiche von Betrieb und Management jenseits des üblichen Qualitäts- und Projektmanagements überträgt. Beim Lesen des Buches kam mir die großartige Idee, Lean Six Sigma auch in meinem digitalen Unternehmenanzuwenden. Am Ende des Buches hatte ich den Eindruck, dass die Möglichkeiten für den richtigen Einsatz von Lean Six Sigma grenzenlos sind, insbesondere wenn man es aus der Perspektive der dynamischen Fähigkeiten betrachtet. Die Leser dieses Buches werden sicherlich Einblicke in die Verbesserung ihrer Geschäftsprozesse sowohl in operativer als auch in strategischer Hinsicht erhalten. Obwohl sich das Buch auf den Bankensektor konzentriert, eignet es sich eigentlich für ein sehr breites Publikum. Es handelt sich um eine brillante Forschungsarbeit und ein Buch, das als Leitfaden für die Transformation durch das Prisma von Lean Six Sigma dienen wird."- Professorin. Dr. ZornitsaYordanova, Leitende Assistenzprofessorin für Innovationsmanagement, Universität für nationale und internationale Wirtschaft, Sofia, Bulgarien"Lean Six Sigma muss aus einer Systemperspektive heraus verstanden werden, undes besteht eine große Wissenslücke in diesem Bereich, wenn es darum geht, ganzheitliche Lösungen für Geschäftsprobleme zu finden. Dieses Buch ist ein sehr willkommenes Werk, das diese Forderung aufgreift. Es integriert die Ressourcen des Qualitätsmanagements und die Sichtweise der dynamischen Fähigkeiten in die Praxis. Der Bereich Banken und Finanzdienstleistungen wurde passend gewählt, da er für Sozialunternehmen am unmittelbarsten anwendbar ist. Jeder, der mit weniger Mitteln mehr Wirkung erzielen möchte, wird von der Lektüre dieses Buches profitieren.-Alex Abraham, Hauptgeschäftsführer, Lean Success Partners, Winnipeg, Manitoba, Kanada"Das Buch ist eine erfrischende Bereicherung für die Welt des Qualitätsmanagements, insbesondere im Kontext von Banken und Finanzdienstleistungen. Konzepte und Begriffe wie "Schnelligkeit von Lean & Robustheit von Six Sigma zur Lösung operativer Probleme" "Hybride Methodik" passen sehr gut zu dem, was wir heute in der Branche tun.Ein weiterer interessanter Aspekt des Buches ist die Anwendung des "Dynamic Capabilities"-Ansatze
Lean Six Sigma in Banking Services: Operational and Strategy Applications for Theory and Practice (Future of Business and Finance)
by Vijaya Sunder M L. S. GaneshThis book explores a range of prospective avenues, models, and operational and strategic approaches to Lean Six Sigma (LSS), a contemporary Continuous Improvement (CI) practice for achieving a quality-based competitive edge in organisations. Lean Six Sigma project case studies from banking organizations help to illustrate the operational dimensions of LSS, while the case-specific and cross-case analyses presented here demonstrate its strategic value. While the case data used to arrive at the findings come from the Banking firms, it allows generalizability beyond the Banking and Financial Services sector. The book contends that LSS is not merely a CI practice, but a higher-order organizational capability, more precisely a dynamic capability, that allows firms to gain a competitive edge based on quality. Addressing the interests of practitioners and researchers alike, the book strikes a balance between theory and practice. For practitioners, it offers guidance on using LSS to gain a competitive advantage, and on evidence-based practice in quality management and operational excellence. For researchers, it presents a wealth of literature and expands the body of knowledge on quality management. Accordingly, the book is of immense value to both practitioners and researchers, helping the former unlock the value of LSS as both an operational and strategic resource, and highlighting potential research directions and applications for the latter.“This book provides a deep understanding of Lean Six Sigma applications. It inspires by transferring the principles of the concept into uncommon areas of operations and management behind the usual quality and project management. While reading the book I got hit by a great idea of applying Lean Six Sigma in my digital business as well. My impression at the end of the book was that sky is the limit for the right employment of Lean Six Sigma, especially while viewing it from a dynamic capabilities’ lens. Readers of this book will surely receive insights for improving their business processes both operationally and strategically. Although the book is focused on banking, it is actually suitable for a really wide audience. This is a brilliant piece of research as a book that will serve as a guide for transformation by the prism of Lean Six Sigma.” - Professor. Dr. ZornitsaYordanova, Chief Assistant Professor of Innovation Management, University of National and World Economy, Sofia, Bulgaria “Lean Six Sigma needs to be understood from a systems perspective and there exists a huge knowledge gap in this area of finding holistic solutions to business problems. This book is a very welcome work that addresses this call. It integrates quality management resources and dynamic capabilities view towards practice. Banking and Financial Services was aptly chosen as it has the most direct applicability for social enterprises. Anyone interested in creating more impact with less will surely benefit from reading the book” -Alex Abraham, Chief Executive Officer, Lean Success Partners, Winnipeg, Manitoba, Canada “The book is a refreshing booster to the world of Quality Management especially in the context of Banking and Financial Services. Concepts and terms like “Rapidness of Lean & robustness of Six Sigma to solve operational problems” “Hybrid methodology” resonate very well with what we do in the industry today. Another interesting fact about the book is applying “Dynamic Capabilities approach” to Quality Management, that sets a fresh Quality Oven and ensures this book is definitely a good investment of authors’ intellect.Best part – Even if a reader is new to the world of Quality,this book will be appropriate and resonating. For Researchers and Practitioners, both being leaders orfresh entrants, this book stands out to be a must-read, as it demonstrates the success of the Lean Six Sigma methodology via case studies and practical applications.” -Udit Salvan, Di
Lean and Green Supply Chain Management: Optimization Models and Algorithms (International Series in Operations Research & Management Science #273)
by Gerhard-Wilhelm Weber Turan Paksoy Sandra HuberThis book presents the latest developments in optimization and optimal control models; exact, approximate and hybrid methods; and their applications in lean and green supply chains. It examines supply chain network design and modeling, closed loop supply chains, and lean, green, resilient and agile or responsive networks, and also discusses corporate social responsibility and occupational health and safety. It particularly focuses on supply chain management under uncertainty – employing stochastic or nonlinear modeling, simulation based studies and optimization – multi-criteria decision-making and applications of fuzzy set theory, and covers various aspects of supply chain management such as risk management, supplier selection or the design of automated warehouses. Lastly, using experimental applications and practical case studies, it shows the impact of lean and green applications on vehicle/fleet management and operations management.
Learn ASP.NET Core 3: Develop modern web applications with ASP.NET Core 3, Visual Studio 2019, and Azure, 2nd Edition
by Jason De Oliveira Michel Bruchet Kenneth Yamikani FukiziA beginner's guide to building fully functioning web applications from scratch using the latest features of ASP.NET Core 3 and C# 8 Key Features Get to grips with the new features and APIs in ASP.NET Core 3, EF Core 3, and Blazor Create web APIs that integrate your applications with other systems and services Learn to deploy your web applications in new environments such as the cloud and Docker containers Book Description ASP.NET Core is an open source framework from Microsoft that makes it easy to build highly efficient and dynamic cross-platform web applications. Updated for the latest features of ASP.NET Core 3, this second edition will equip you with the skills you need to build powerful web applications. The book starts with an introduction to ASP.NET Core and its features, giving you a complete understanding of the framework. You will also learn how to set up your development environment with Visual Studio 2019 and build a fully functioning application from scratch. You'll then understand core concepts for building web applications such as Model View Controller (MVC), dependency injection, and WebSockets. As you advance, you'll discover how to use Entity Framework Core 3 to automate all database-related activities for your application. You will then build and document secure web APIs using security best practices to protect your web applications from threats and vulnerabilities. Finally, you will learn how to use Azure DevOps as a CI/CD tool to deploy and monitor your applications using Microsoft Azure, Amazon Web Services (AWS), and Docker. By the end of this book, you'll have the skills you need to develop efficient and robust web applications in ASP.NET Core 3. What you will learn Delve into basic and advanced ASP.NET Core 3 concepts with the help of examples Build an MVC web application and use Entity Framework Core 3 to access data Add web APIs to your web applications using RPC, REST, and HATEOAS Create a fully automated continuous integration and continuous delivery (CI/CD) pipeline using Azure DevOps Use Azure, Amazon Web Services, and Docker to deploy and monitor your applications Secure your web application from common attacks such as Cross-Site Scripting and SQL injection Explore client-side development using C# Razor components Who this book is for This book is for developers who want to build modern web applications with ASP.NET Core. The book will also be helpful for anyone working in infrastructure engineering and operations to monitor and diagnose problems during the runtime of ASP.NET Core 3.0 web applications. Although no prior understanding of ASP.NET or .NET Core is required, basic C# programming knowledge is assumed.
Learn AWS Serverless Computing: A beginner's guide to using AWS Lambda, Amazon API Gateway, and services from Amazon Web Services
by Scott PattersonBuild, deploy, test, and run cloud-native serverless applications using AWS Lambda and other popular AWS services Key Features Learn how to write, run, and deploy serverless applications in Amazon Web Services Make the most of AWS Lambda functions to build scalable and cost-efficient systems Build and deploy serverless applications with Amazon API Gateway and AWS Lambda functions Book Description Serverless computing is a way to run your code without having to provision or manage servers. Amazon Web Services provides serverless services that you can use to build and deploy cloud-native applications. Starting with the basics of AWS Lambda, this book takes you through combining Lambda with other services from AWS, such as Amazon API Gateway, Amazon DynamoDB, and Amazon Step Functions. You'll learn how to write, run, and test Lambda functions using examples in Node.js, Java, Python, and C# before you move on to developing and deploying serverless APIs efficiently using the Serverless Framework. In the concluding chapters, you'll discover tips and best practices for leveraging Serverless Framework to increase your development productivity. By the end of this book, you'll have become well-versed in building, securing, and running serverless applications using Amazon API Gateway and AWS Lambda without having to manage any servers. What you will learn Understand the core concepts of serverless computing in AWS Create your own AWS Lambda functions and build serverless APIs using Amazon API Gateway Explore best practices for developing serverless applications at scale using Serverless Framework Discover the DevOps patterns in a modern CI/CD pipeline with AWS CodePipeline Build serverless data processing jobs to extract, transform, and load data Enforce resource tagging policies with continuous compliance and AWS Config Create chatbots with natural language understanding to perform automated tasks Who this book is for This AWS book is for cloud architects and developers who want to build and deploy serverless applications using AWS Lambda. A basic understanding of AWS is required to get the most out of this book.
Learn Business Analytics in Six Steps Using SAS and R
by Subhashini Sharma TripathiApply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster. Learn Business Analytics in Six Steps Using SAS and R teaches you how to solve problems and execute projects through the "DCOVA and I" (Define, Collect, Organize, Visualize, Analyze, and Insights) process. You no longer need to choose between the two most popular software tools. This book puts the best of both worlds—SAS and R—at your fingertips to solve a myriad of problems, whether relating to data science, finance, web usage, product development, or any other business discipline.What You'll LearnUse the DCOVA and I process: Define, Collect, Organize, Visualize, Analyze and Insights. Harness both SAS and R, the star analytics technologies in the industry Use various tools to solve significant business challengesUnderstand how the tools relate to business analytics See seven case studies for hands-on practiceWho This Book Is ForThis book is for all IT professionals, especially data analysts, as well as anyone whoLikes to solve business problems and is good with logical thinking and numbers Wants to enter the analytics world and is looking for a structured book to reach that goalIs currently working on SAS , R, or any other analytics software and strives to use its full power
Learn Data Science Using Python: A Quick-Start Guide
by Engy FoudaHarness the capabilities of Python and gain the expertise need to master data science techniques. This step-by-step book guides you through using Python to achieve tasks related to data cleaning, statistics, and visualization. You’ll start by reviewing the foundational aspects of the data science process. This includes an extensive overview of research points and practical applications, such as the insightful analysis of presidential elections. The journey continues by navigating through installation procedures and providing valuable insights into Python, data types, typecasting, and essential libraries like Pandas and NumPy. You’ll then delve into the captivating world of data visualization. Concepts such as scatter plots, histograms, and bubble charts come alive through detailed discussions and practical code examples, unraveling the complexities of creating compelling visualizations for enhanced data understanding. Statistical analysis, linear models, and advanced data preprocessing techniques are also discussed before moving on to preparing data for analysis, including renaming variables, variable rearrangement, and conditional statements. Finally, you’ll be introduced to regression techniques, demystifying the intricacies of simple and multiple linear regression, as well as logistic regression. What You’ll Learn Understand installation procedures and valuable insights into Python, data types, typecasting Examine the fundamental statistical analysis required in most data science and analytics reports Clean the most common data set problems Use linear progression for data prediction Who This Book Is For Data Analysts, data scientists, Python programmers, and software developers new to data science.
Learn Java 12 Programming: A step-by-step guide to learning essential concepts in Java SE 10, 11, and 12
by Nick SamoylovA comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programmingKey FeaturesStrengthen your knowledge of important programming concepts and the latest features in JavaExplore core programming topics including GUI programming, concurrency, and error handlingLearn the idioms and best practices for writing high-quality Java codeBook DescriptionJava is one of the preferred languages among developers, used in everything right from smartphones, and game consoles to even supercomputers, and its new features simply add to the richness of the language. This book on Java programming begins by helping you learn how to install the Java Development Kit. You will then focus on understanding object-oriented programming (OOP), with exclusive insights into concepts like abstraction, encapsulation, inheritance, and polymorphism, which will help you when programming for real-world apps. Next, you’ll cover fundamental programming structures of Java such as data structures and algorithms that will serve as the building blocks for your apps. You will also delve into core programming topics that will assist you with error handling, debugging, and testing your apps. As you progress, you’ll move on to advanced topics such as Java libraries, database management, and network programming, which will hone your skills in building professional-grade apps.Further on, you’ll understand how to create a graphic user interface using JavaFX and learn to build scalable apps by taking advantage of reactive and functional programming.By the end of this book, you’ll not only be well versed with Java 10, 11, and 12, but also gain a perspective into the future of this language and software development in general.What you will learnLearn and apply object-oriented principlesGain insights into data structures and understand how they are used in JavaExplore multithreaded, asynchronous, functional, and reactive programmingAdd a user-friendly graphic interface to your applicationFind out what streams are and how they can help in data processingDiscover the importance of microservices and use them to make your apps robust and scalableExplore Java design patterns and best practices to solve everyday problemsLearn techniques and idioms for writing high-quality Java codeWho this book is forStudents, software developers, or anyone looking to learn new skills or even a language will find this book useful. Although this book is for beginners, professional programmers can benefit from it too. Previous knowledge of Java or any programming language is not required.
Learn Java with Math: Using Fun Projects and Games
by Ron DaiThere are many good Java programming books on the market, but it's not easy to find one fit for a beginner. This book simplifies the complexity of Java programming and guides you through the journey to effectively work under the hood. You'll start with the fundamentals of Java programming and review how it integrates with basic mathematical concepts through many practical examples. You'll witness firsthand how Java can be a powerful tool or framework in your experimentation work.Learn Java with Math reveals how a strong math foundation is key to learning programming design. Using this as your motivation, you'll be programming in Java in no time.What You'll LearnExplore Java basicsProgram with Java using fun math-inspired examplesWork with Java variables and algorithmsReview I/O, loops, and control structuresUse projects such as the Wright brothers coin flip gameWho This Book Is ForThose new to programming and Java but have some background in mathematics and are at least comfortable with using a computer.
Learn Penetration Testing: Understand the art of penetration testing and develop your white hat hacker skills
by Rishalin PillayGet up to speed with various penetration testing techniques and resolve security threats of varying complexityKey FeaturesEnhance your penetration testing skills to tackle security threatsLearn to gather information, find vulnerabilities, and exploit enterprise defensesNavigate secured systems with the most up-to-date version of Kali Linux (2019.1) and Metasploit (5.0.0)Book DescriptionSending information via the internet is not entirely private, as evidenced by the rise in hacking, malware attacks, and security threats. With the help of this book, you'll learn crucial penetration testing techniques to help you evaluate enterprise defenses.You'll start by understanding each stage of pentesting and deploying target virtual machines, including Linux and Windows. Next, the book will guide you through performing intermediate penetration testing in a controlled environment. With the help of practical use cases, you'll also be able to implement your learning in real-world scenarios. By studying everything from setting up your lab, information gathering and password attacks, through to social engineering and post exploitation, you'll be able to successfully overcome security threats. The book will even help you leverage the best tools, such as Kali Linux, Metasploit, Burp Suite, and other open source pentesting tools to perform these techniques. Toward the later chapters, you'll focus on best practices to quickly resolve security threats.By the end of this book, you'll be well versed with various penetration testing techniques so as to be able to tackle security threats effectivelyWhat you will learnPerform entry-level penetration tests by learning various concepts and techniquesUnderstand both common and not-so-common vulnerabilities from an attacker's perspectiveGet familiar with intermediate attack methods that can be used in real-world scenariosUnderstand how vulnerabilities are created by developers and how to fix some of them at source code levelBecome well versed with basic tools for ethical hacking purposesExploit known vulnerable services with tools such as MetasploitWho this book is forIf you’re just getting started with penetration testing and want to explore various security domains, this book is for you. Security professionals, network engineers, and amateur ethical hackers will also find this book useful. Prior knowledge of penetration testing and ethical hacking is not necessary.
Learn Physics with Functional Programming: A Hands-on Guide to Exploring Physics with Haskell
by Scott N. WalckDeepen your understanding of physics by learning to use the Haskell functional programming language.Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell.You&’ll use Haskell&’s type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.As you work your way through the book&’s numerous examples and exercises, you&’ll learn how to:Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equationsExpress fundamental physical principles using the logic of Haskell&’s type system to clarify Newton&’s second law, Coulomb&’s law, the Biot-Savart law, and the Maxwell equationsUse higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) methodCreate graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic fieldWhether you&’re using this book as a core textbook for a computational physics course or for self-study, Learn Physics with Functional Programming will teach you how to use the power of functional programming to explore the beautiful ideas of theoretical physics.
Learn Python by Building Data Science Applications: A fun, project-based guide to learning Python 3 while building real-world apps
by David Katz Philipp KatsUnderstand the constructs of the Python programming language and use them to build data science projects Key Features Learn the basics of developing applications with Python and deploy your first data application Take your first steps in Python programming by understanding and using data structures, variables, and loops Delve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in Python Book Description Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You'll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You'll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you'll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you'll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice. By the end of the book, you'll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards. What you will learn Code in Python using Jupyter and VS Code Explore the basics of coding – loops, variables, functions, and classes Deploy continuous integration with Git, Bash, and DVC Get to grips with Pandas, NumPy, and scikit-learn Perform data visualization with Matplotlib, Altair, and Datashader Create a package out of your code using poetry and test it with PyTest Make your machine learning model accessible to anyone with the web API Who this book is for If you want to learn Python or data science in a fun and engaging way, this book is for you. You'll also find this book useful if you're a high school student, researcher, analyst, or anyone with little or no coding experience with an interest in the subject and courage to learn, fail, and learn from failing. A basic understanding of how computers work will be useful.
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics
by Eric Goh HuiGain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will LearnDiscover R, statistics, data science, data mining, and big dataMaster the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functionsWork with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplotsUse inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressionsWho This Book Is ForThose who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.
Learn R: As a Language (Chapman & Hall/CRC The R Series)
by Pedro J. AphaloLearning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward on overcoming them. This book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. Although rarely mentioned separately, fluency in a computer programming language involves both writing and reading. The parallels between natural and computer languages are many, but differences are also important. For students and professionals in the biological sciences, humanities, and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2020 and beyond. Features R as it is currently used Few prescriptive rules—mostly the author’s preferences together with alternatives Explanation of the R grammar emphasizing the "R way of doing things" Tutoring for "programming in the small" using scripts The grammar of graphics and the grammar of data described as grammars Examples of data exchange between R and the foreign world using common file formats Coaching for becoming an independent R user, capable of both writing original code and solving future challenges What makes this book different from others: Tries to break the ice and help readers from all disciplines feel at home with R Does not make assumptions about what the reader will use R for Attempts to do only one thing well: guide readers into becoming fluent in the R language Pedro J. Aphalo is a PhD graduate from the University of Edinburgh, and is currently a lecturer at the University of Helsinki. A plant biologist and agriculture scientist with a passion for data, electronics, computers, and photography, in addition to plants, Dr. Aphalo has been a user of R for 25 years. He first organized an R course for MSc students 18 years ago, and is the author of 13 R packages currently in CRAN.
Learn R: As a Language (Chapman & Hall/CRC The R Series)
by Pedro J. AphaloLearning a computer language like R can be either frustrating, fun or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward for overcoming them. The book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. For students and professionals in the biological sciences, humanities and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2024 and beyond.What is new in the second edition? Text expanded by more than 25% to include additional R features and gentler and more detailed explanations Contains 24 new diagrams and flowcharts, seven new tables, and revised text and code examples for clarity All three indexes were expanded, and answers to 28 frequently asked questions added What will you find in this book? Programming concepts explained as they apply to current R Emphasis on the role of abstractions in programming Few prescriptive rules—mostly the author’s preferences together with alternatives Presentation of the R language emphasizing the “R way of doing things” Tutoring for “programming in the small” using scripts for data analysis Explanation of the differences between R proper and extensions for data wrangling The grammar of graphics is described as a language for the construction of data visualisations Examples of data exchange between R and the foreign world using common file formats Coaching to become an independent R user, capable of writing original scripts and solving future challenges
Learning Algorithms: A Programmer's Guide to Writing Better Code
by George HeinemanWhen it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively.Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of essential concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, you'll get to apply what you've learned to a novel challenge problem -- simulating the experience you might find in a technical code interview.With this book, you will:Examine fundamental algorithms central to computer science and software engineeringLearn common strategies for efficient problem solving -- such as divide and conquer, dynamic programming, and greedy approachesAnalyze code to evaluate time complexity using big O notationUse existing Python libraries and data structures to solve problems using algorithmsUnderstand the main steps of important algorithms
Learning Analytics
by Johann Ari Larusson Brandon WhiteIn education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e. g. , intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.
Learning Analytics Methods and Tutorials: A Practical Guide Using R
by Sonsoles López-Pernas Mohammed SaqrThis open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere.The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources.This is an open access book.
Learning Analytics und Künstliche Intelligenz in Studium und Lehre: Erfahrungen und Schlussfolgerungen aus einer hochschulweiten Erprobung (Doing Higher Education)
by Peter Salden Jonas LeschkeIn dem Sammelband werden die Ergebnisse aus dem Projekt „KI:edu.nrw - Didaktik, Ethik und Technik von Learning Analytics und KI in der Hochschulbildung“ im Zeitraum 2020-2023 vorgestellt. Ziel des Projekts war es, sowohl an der im Schwerpunkt geförderten Ruhr-Universität Bochum als auch an der partnerschaftlich verbundenen RWTH Aachen exemplarisch zu erarbeiten, wie Regeln, Konzepte, Prozesse und Technik für den Einsatz von Learning Analytics und KI in Studium und Lehre ausgestaltet werden können. Die Besonderheit: Alle lehrbezogenen Akteurinnen und Akteure wurden in einem umfassenden Ansatz einbezogen, um zu verstehen, wie Hochschulen sich als Gesamtorganisationen auf die kommenden Herausforderungen in diesem Bereich einstellen müssen. Der Band zeigt damit Wege in eine zukünftige Hochschulwelt, die nicht mehr in allzu weiter Ferne liegt.