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Podcasts
Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
Data is everywhere and everything is data! Visualization of data allows us to bring out the underlying trends and patterns inherent in the data and gain insights that enable faster and smarter decision making. Tableau is one of the fastest growing and industry leading Business Intelligence platforms that empowers business users to easily visualize their data and discover insights at the speed of thought. Tableau is a self-service BI platform designed to make data visualization and analysis as intuitive as possible. Creating visualizations with simple drag-and-drop, you can be up and running on Tableau in no time.Starting from the fundamentals such as getting familiarized with Tableau Desktop, connecting to common data sources and building standard charts; you will walk through the nitty gritty of Tableau such as creating dynamic analytics with parameters, blended data sources, and advanced calculations. You will also learn to group members into higher levels, sort the data in a specific order & filter out the unnecessary information. You will then create calculations in Tableau & understand the flexibility & power they have and go on to building story-boards and share your insights with others.Whether you are just getting started or whether you need a quick reference on a “how-to” question, This book is the perfect companion for you
Modular programming means dividing an application into small parts and then developing it. It is an approach taken by developers to build applications and helps them add efficiency in their development process, thus making it more effective.The book starts with the fundamentals of Modular Programming. Then we move on to the actual implementation, where we teach developers how to divide an application into different modules or layers (such as presentation, execution, security, lifecycle, services, and so on) for better management. Once readers are well-versed in these modules and their development, the book shows how to create bindings in order to join these different modules and form a complete application. Next, the readers will learn how to manage these modules through dependency injection.Later, we move on to testing; readers will learn how to test the different modules of an application. The book ends by teaching readers how to maintain different versions of their application and how to modify it. By the end of the book, readers will have a good understanding of modular programming and will be able to use it to build applications with Java.
Devin Knight, Erin Ostrowsky, Mitchell Pearson, Bradley Schacht
Updated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You’ll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.Throughout this book, you’ll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You’ll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there’s an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.As you progress, you’ll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You’ll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.By the end of this Power BI book, you’ll know how to get the most out of Power BI for better business intelligence.
Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you’ll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas.With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you’ll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You’ll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means.
Simulation for Data Science with R. Effective Data-driven Decision Making
Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world.The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results.By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems.
Erlend Sogge Heggen, Ruth Kusterer, Ruth Irene Kusterer
jMonkeyEngine 3.0 is a powerful set of free Java libraries that allows you to unlock your imagination, create 3D games and stunning graphics. Using jMonkeyEngine's library of time-tested methods, this book will allow you to unlock its potential and make the creation of beautiful interactive 3D environments a breeze.jMonkeyEngine 3.0 Beginner's Guide teaches aspiring game developers how to build modern 3D games with Java. This primer on 3D programming is packed with best practices, tips and tricks and loads of example code. Progressing from elementary concepts to advanced effects, budding game developers will have their first game up and running by the end of this book.From basic concepts and project creation to building a complex 3D Game, you will learn to layout 3D scenes, make them interactive and add various multi-media effects.You will find answers to common questions including best practices and approaches, how game characters can act and interact, how to simulate solid walls and physical forces, how to take it online to play over a network and much more.From Zero to Hero, start your journey to make your game idea a reality.
Monitoring increasingly complex IT environments can pose quite a challenge. Virtualization and cloud-based applications are finding their way into many IT estates over the world. Keeping a watchful eye out for your infrastructure is now more important than ever, and Opsview allows you to do just that.Monitoring with Opsview is a practical guide to the entire Opsview product range, consisting of various examples and screenshots to help you get up and running with Opsview. This book will show you the powerful features and modules available in Opsview, and will help you create an Opsview-based monitoring system suited for your needs.Starting with the installation of your own Opsview Core system, we will then go through the basic configuration followed by the various special features of the system, using practical examples to show how we can make use of these features. After covering the Core system, we will later look at the Pro and Enterprise offerings and how their additional features can benefit you.You will learn about the unique features of Opsview like viewing (and interacting with) your IT estate from mobile devices like smartphones and tablets, creating special views with keywords, and using templates for fast configurations. From there, we will move on to the Pro and Enterprise systems, looking at the powerful modules available like distributed monitoring and reporting, and finishing it all off with a discussion of the eye-catching dashboards.Monitoring with Opsview will show you the power of the Opsview system, keywords, attributes, dashboards, and all the tools you need to get that single view into your entire IT estate.