Data Analytics for Marketing. A practical guide to analyzing marketing data using Python

Guilherme Diaz-Bérrio

Most marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial.In this book, you’ll learn how to give context to your data and turn it into useful information. You’ll understand how and where to use a tool or dataset for a specific question, exploring the what and why questions to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you’ll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you’ll delve into customer analytics and insights. Finally, you’ll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making.By the end of this book, you’ll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.

Salesforce B2C Solution Architect's Handbook. Leverage Salesforce to create scalable and cohesive business-to-consumer experiences - Second Edition

Mike King, Melissa Murphy

In today’s competitive landscape, the ability to create a unified view of the customer and turn data into actionable insights is a game-changer for businesses. With Salesforce B2C Solution Architect's Handbook, you’ll gain a deeper understanding of the integration options and products that help you deliver value for organizations. The book will guide you through the tools, techniques, and scenarios needed to confidently tackle the B2C Solution Architect exam. You’ll start by building a robust understanding of each component within the Customer 360 ecosystem, diving into their capabilities, data models, and governance structures. As you progress, you'll explore the role of a B2C solution architect in planning critical requirements and implementation sequences to avoid costly reworks and unnecessary delays. You’ll learn about the available options for integrating products with the Salesforce ecosystem and demonstrate best practices for data modeling across Salesforce products and beyond. By the end of this journey, you’ll not only be prepared to ace the exam but also to excel as a Salesforce B2C Solution Architect, ready to shape the future of customer engagement.

Modern Full-Stack Web Development with ASP.NET Core. A project-based guide to building web applications with ASP.NET Core 9 and JavaScript frameworks

Alexandre Malavasi

In the ASP.NET Core ecosystem, choosing the right JavaScript framework is key to addressing diverse project requirements. Witten by a four-time Microsoft MVP with 16 years of software development experience, this book is your comprehensive guide to mastering full-stack development, combining ASP.NET Core’s robust backend capabilities with the dynamic frontend power of Vue.js, Angular, and React.This book uses ASP.NET Core to teach you best practices for integrating modern JavaScript frameworks, and creating responsive, high-performance applications that deliver seamless client–server interactions and scalable RESTful APIs. In addition to building expertise in ASP.NET Core’s core strengths, such as API security, architecture principles, and performance optimization, the chapters will help you develop the essential frontend skills needed for full-stack development. Sections on Blazor take a C#-based approach to creating interactive UIs, showcasing ASP.NET Core’s flexibility in handling both server and client-side needs.By the end of this book, you will have a complete toolkit for designing, deploying, and maintaining complex full-stack applications, along with practical knowledge of both backend and frontend development.

The Kaggle Book. Data analysis and machine learning for competitive data science

Konrad Banachewicz, Luca Massaron, Anthony Goldbloom

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career.The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won't easily find elsewhere, and the knowledge they've accumulated along the way. As well as Kaggle-specific tips, you'll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You'll design better validation schemes and work more comfortably with different evaluation metrics.Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this audiobook is for you.

Data Literacy in Practice. A complete guide to data literacy and making smarter decisions with data through intelligent actions

Angelika Klidas, Kevin Hanegan

Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin—data literacy.This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights.You’ll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights.By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making.

Beginning C++ Game Programming. Learn C++ from scratch by building fun games - Third Edition

John Horton

Always dreamed of creating your own games? With the third edition of Beginning C++ Game Programming, you can turn that dream into reality! This beginner-friendly guide is updated and improved to include the latest features of VS 2022, SFML, and modern C++20 programming techniques. You'll get a fun introduction to game programming by building four fully playable games of increasing complexity. You'll build clones of popular games such as Timberman, Pong, a Zombie survival shooter, and an endless runner.The book starts by covering the basics of programming. You'll study key C++ topics, such as object-oriented programming (OOP) and C++ pointers and get acquainted with the Standard Template Library (STL). The book helps you learn about collision detection techniques and game physics by building a Pong game. As you build games, you'll also learn exciting game programming concepts such as vertex arrays, directional sound (spatialization), OpenGL programmable shaders, spawning objects, and much more. You’ll dive deep into game mechanics and implement input handling, levelling up a character, and simple enemy AI. Finally, you'll explore game design patterns to enhance your C++ game programming skills.By the end of the book, you'll have gained the knowledge you need to build your own games with exciting features from scratch.

C++ and Algorithmic Thinking for the Complete Beginner. Learn to think like a programmer by mastering C++ and foundational algorithms from scratch

Aristides Bouras

Embark on your programming journey with a thorough introduction to how computers work, setting the stage for understanding C++ and its applications. This course begins with the basics, including setting up your development environment and installing necessary software packages. As you progress, you'll delve into fundamental algorithmic concepts, variables, constants, and handling input and output efficiently.As you build your knowledge, the course introduces more complex topics such as sequence control structures, decision-making processes, and loop control structures. You will learn to manipulate numbers, strings, and understand the intricacies of operators through practical exercises and real-world examples. Visual aids like trace tables and flowcharts will help you visualize the flow of your programs and improve your debugging skills.Towards the end of the course, you'll explore advanced topics such as arrays, data structures, subprograms, and an introduction to object-oriented programming. By the conclusion, you will also gain insights into file handling and advanced algorithmic strategies. Each chapter is designed to build on the previous one, ensuring a cohesive and comprehensive learning experience that equips you with the skills needed to excel in C++ programming and algorithmic thinking.

Learn Python Programming. A comprehensive, up-to-date, and definitive guide to learning Python - Fourth Edition

Fabrizio Romano, Heinrich Kruger

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book.Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.