Learning Einstein Analytics

While creating a dashboard, you will learn about the dashboard inspector and
connecting your static step with dashboard components. Chapter 7, Security and
Sharing in Einstein Analytics, is an important chapter as it covers security and ...

Learning Einstein Analytics

Learn to confidently setup and create app, lenses, dashboards using Salesforce Einstein Analytics. Key Features Explore Einstein analytics on desktop as well as mobile platforms Turn data into smarter sales with Einstein Analytics for Sales Visualize your data with preloaded as well as customized dashboards Book Description Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way. What you will learn Create app, lenses, and dashboards using Einstein. Visualize data utilizing all the widgets available with Einstein. Understand Einstein for Sales, Service, and Marketing separately. Use Data monitoring tools to monitor data flow and system jobs. Abstract machine learning constructs and make predictions on events Who this book is for This book is for data scientists, business users, developers who want to explore business data using the Salesforce Einstein Analytics. Knowledge of the Salesforce platform is required.

Getting Started with Salesforce Einstein Analytics

In this chapter, we learned that Einstein Analytics is a platform by itself and the
data is stored in the Einstein Analytics platform (not in the Salesforce platform),
but you can configure to sync necessary fields and objects. We discussed why
we ...

Getting Started with Salesforce Einstein Analytics

Build interactive dashboards using Salesforce Einstein analytics. Explore all of your data quickly and easily by providing AI-powered advanced analytics, right in Salesforce. You will manage datasets, query data with Salesforce Analytics Query Language (SAQL), and customize dashboards. Because Einstein Analytics is new, the curve to learn this technology can be difficult. This book guides you step-by-step in simple, easy-to-understand terms to get data from the Salesforce platform to the Einstein Analytics platform and also shows you how to import external data (e.g., CSV files). Core chapters focus on understanding data sources, dataflow, dataset, and lens leading up to building dashboards from scratch. Advanced features such as data transformation using computeExpression and computeRelative as well as dataflow with a multi-value lookup are explored. What You Will Learn Use data from Salesforce and external sources Create a dataflow to build a flexible dataset Build dashboards using Einstein Analytics Explore and analyze data using Einstein Analytics Utilize SAQL and binding to create advance dashboards Who This Book Is For IT users getting started with Einstein Analytics, Salesforce consultants starting new Einstein Analytics projects, and power users familiar with Salesforce reporting and dashboards who want to get up to speed on new analytics features

Learning Salesforce Einstein

Note that you will need an Einstein Sales Cloud license to get access to the
Automated Activity Capture feature. Each organization gets five Wave app (
applications from Salesforce to build analytics) permission set licenses. If you
assign a ...

Learning Salesforce Einstein

Incorporate the power of Einstein in your Salesforce application About This Book Make better predictions of your business processes using prediction and predictive modeling Build your own custom models by leveraging PredictionIO on the Heroku platform Integrate Einstein into various cloud services to predict sales, marketing leads, insights into news feeds, and more Who This Book Is For This book is for developers, data scientists, and Salesforce-experienced consultants who want to explore Salesforce Einstein and its current offerings. It assumes some prior experience with the Salesforce platform. What You Will Learn Get introduced to AI and its role in CRM and cloud applications Understand how Einstein works for the sales, service, marketing, community, and commerce clouds Gain a deep understanding of how to use Einstein for the analytics cloud Build predictive apps on Heroku using PredictionIO, and work with Einstein Predictive Vision Services Incorporate Einstein in the IoT cloud Test the accuracy of Einstein through Salesforce reporting and Wave analytics In Detail Dreamforce 16 brought forth the latest addition to the Salesforce platform: an AI tool named Einstein. Einstein promises to provide users of all Salesforce applications with a powerful platform to help them gain deep insights into the data they work on. This book will introduce you to Einstein and help you integrate it into your respective business applications based on the Salesforce platform. We start off with an introduction to AI, then move on to look at how AI can make your CRM and apps smarter. Next, we discuss various out-of-the-box components added to sales, service, marketing, and community clouds from salesforce to add Artificial Intelligence capabilities. Further on, we teach you how to use Heroku, PredictionIO, and the force.com platform, along with Einstein, to build smarter apps. The core chapters focus on developer content and introduce PredictionIO and Salesforce Einstein Vision Services. We explore Einstein Predictive Vision Services, along with analytics cloud, the Einstein Data Discovery product, and IOT core concepts. Throughout the book, we also focus on how Einstein can be integrated into CRM and various clouds such as sales, services, marketing, and communities. By the end of the book, you will be able to embrace and leverage the power of Einstein, incorporating its functions to gain more knowledge. Salesforce developers will be introduced to the world of AI, while data scientists will gain insights into Salesforce's various cloud offerings and how they can use Einstein's capabilities and enhance applications. Style and approach This book takes a straightforward approach to explain Salesforce Einstein and all of its potential applications. Filled with examples, the book presents the facts along with seasoned advice and real-world use cases to ensure you have all the resources you need to incorporate the power of Einstein in your work.

Einstein Analytics and Discovery Consultant

DISCOVERY CONSULTANT What are two core design principles to consider
when building Analytics apps or ... C Explanation: https://trailhead.salesforce.com
/en/content/learn/modules/analytics- app-design/principles-good design role ...

Einstein Analytics and Discovery Consultant

Einstein Analytics and Discovery Consultant exam tests experience with end to end Einstein Analytics implementations — everything from dataflows to dashboard design and even some Einstein Discovery concepts. Einstein Analytics is an app used to visualize the activity occurring in your Salesforce environment. Whether you use Salesforce for Sales, Marketing, or Service, this visibility tool offers insights into the data (like contacts, campaigns, or accounts) your users add to the CRM every day.

Learn Power BI

Visualization software includes venerable tools such as SSRS and Crystal
Reports, as well as more software such as Birst, Domo, MicroStrategy, Qlik Sense
, Salesforce Einstein Analytics, SAS Visual Analytics, SiSense, Tableau,
ThoughtSpot, ...

Learn Power BI

Solve business challenges with Microsoft Power BI's advanced visualization and data analysis techniques Key Features Create effective storytelling reports by implementing simple-to-intermediate Power BI features Develop powerful analytical models to extract key insights for changing business needs Build, publish, and share impressive dashboards for your organization Book Description To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This Power BI book is an entry-level guide that will get you up and running with data modeling, visualization, and analytical techniques from scratch. You'll find this book handy if you want to get well-versed with the extensive Power BI ecosystem. You'll start by covering the basics of business intelligence and installing Power BI. You'll then learn the wide range of Power BI features to unlock business insights. As you progress, the book will take you through how to use Power Query to ingest, cleanse, and shape your data, and use Power BI DAX to create simple to complex calculations. You'll also be able to add a variety of interactive visualizations to your reports to bring your data to life. Finally, you'll gain hands-on experience in creating visually stunning reports that speak to business decision makers, and see how you can securely share these reports and collaborate with others. By the end of this book, you'll be ready to create simple, yet effective, BI reports and dashboards using the latest features of Power BI. What you will learn Explore the different features of Power BI to create interactive dashboards Use the Query Editor to import and transform data Perform simple and complex DAX calculations to enhance analysis Discover business insights and tell a story with your data using Power BI Explore data and learn to manage datasets, dataflows, and data gateways Use workspaces to collaborate with others and publish your reports Who this book is for If you’re an IT manager, data analyst, or BI user new to using Power BI for solving business intelligence problems, this book is for you. You’ll also find this book useful if you want to migrate from other BI tools to create powerful and interactive dashboards. No experience of working with Power BI is expected.

Artificial Intelligence Supported Educational Technologies

This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019.

Artificial Intelligence Supported Educational Technologies

This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.

How Your Child Learns and Succeeds

Discovering Your Child's Learning Style and Teaching to His Or Her Strenghts
Cynthia Ulrich Tobias. even be able to remember the exact words the speaker
said . Since analytics naturally tune in to details , it's sometimes difficult for them
to identify the overall concept the details are ... Both groups were to design a
lesson plan that would effectively teach extremely global students about
Einstein's Special ...

How Your Child Learns and Succeeds

How many wonderful ways can your child be smart? For starters, every child has some degree of linguistic intelligence, spatial intelligence, and bodily-kinesthetic intelligence. In How Your Child Learns -- and Succeeds , popular author and speaker Cynthia Ulrich Tobias not only clearly explains various innate abilities and learning styles, but also offers tips to concerned parents on how to nurture and motivate their child's unique ability to learn. Dealing with issues like How Do We Concentrate?, How Do We Remember?, and How Do We Understand?, this book is an essential tool for parents and teachers who are eager to help children identify and achieve their full potential. Discover how to recognize the difference between a learning style and a learning disability, and how to work together with teachers to meet your child's individual needs.

Human Capital Analytics

—Albert Einstein ... data, You that and have run is more now the designed a
study, gathered all statistical modeling, and you or less interesting. ... The
elevator pitch is exactly that: A concise statement of what was learned from the
analysis ...

Human Capital Analytics

An insightful look at the implementation of advanced analytics on human capital Human capital analytics, also known as human resources analytics or talent analytics, is the application of sophisticated data mining and business analytics techniques to human resources data. Human Capital Analytics provides an in-depth look at the science of human capital analytics, giving practical examples from case studies of companies applying analytics to their people decisions and providing a framework for using predictive analytics to optimize human capital investments. Written by Gene Pease, Boyce Byerly, and Jac Fitz-enz, widely regarded as the father of human capital Offers practical examples from case studies of companies applying analytics to their people decisions An in-depth discussion of tools needed to do the work, particularly focusing on multivariate analysis The challenge of human resources analytics is to identify what data should be captured and how to use the data to model and predict capabilities so the organization gets an optimal return on investment on its human capital. The goal of human capital analytics is to provide an organization with insights for effectively managing employees so that business goals can be reached quickly and efficiently. Written by human capital analytics specialists Gene Pease, Boyce Byerly, and Jac Fitz-enz, Human Capital Analytics provides essential action steps for implementation of advanced analytics on human capital.

Learning Core Data for iOS

Get Started Fast with iOS 7 Core Data App Development Covers iOS 7 and Xcode 5 This is the first Core Data book to fully reflect Apple’s latest platform innovations, including its dramatic recent improvements to iCloud support.

Learning Core Data for iOS

Get Started Fast with iOS 7 Core Data App Development Covers iOS 7 and Xcode 5 This is the first Core Data book to fully reflect Apple’s latest platform innovations, including its dramatic recent improvements to iCloud support. Hands-on from start to finish, it teaches you step-by-step as you create a modern data-driven iOS app using Storyboards, ARC, iOS 7, and Xcode 5. Tim Roadley introduces new patterns and best practices designed to overcome the frustrations of Core Data development. One step at a time, you’ll build and extend your skills--even mastering advanced techniques such as complex model migration, deep copy, background processing, and integration with Dropbox, StackMob, and iCloud. Downloadable versions of this book’s main project are provided with each chapter, so you can see exactly what your app project should look like--and get cookbook-style code for your own projects. Chapter exercises help you explore even further, whether you’re a self-learner or a student in an iOS development course. If you’re an experienced iOS developer, this guide brings together all the skills, tools, code, and patterns you need to add powerful data management capabilities to any app--quickly, easily, and painlessly. Coverage includes the following: Understanding Core Data Adding Core Data to an existing project Designing, upgrading, and migrating data models (automatically and manually with progress indication) Populating views with data, including table-views and picker-views Preloading a “default data” persistent store from XML Deep-copying from one persistent store to another Performance tuning with Instruments, using large photos as the example Background processing, using thumbnail generation as the example Efficient search Seamlessly backing up and restoring with Dropbox Stable integration with iCloud--with full support for multiple accounts, seeding, and de-duplication Web service integration with StackMob

Applications and Modelling in Learning and Teaching Mathematics

training of teachers , mathematical training for physicists and training in physics
for mathematicians . I shall end with one more remark , I think that in the first ... A
Posterior Analytics . Bkouche , R . ( 1982a ) . Historique in B . Sénéchal ( ed . ) ...

Applications and Modelling in Learning and Teaching Mathematics

Indeholder de fem hovedindlæg og 65 udvalgte indlæg præsenteret på Third International Conference on the Teaching of Mathematical Modelling and Applications (ICTMA-3), Kassel University (FRG), 8-11 September 1987