Chapter 1, Getting Started with Einstein Analytics, gives an overview of Einstein Analytics. It also covers the concepts and terminologies used in Einstein Analytics. We will sign up to Salesforce special developer edition in this chapter.
Chapter 2, Setting Up Einstein Analytics, covers creating and understanding users and user types. We are going to learn how to create and assign permission sets.
Chapter 3, Say Hello to Einstein, covers building your first lenses and dashboards.
Chapter 4, Diving Deep into Einstein Analytics, covers creating a simple summary dashboard and understanding quota, dataflow, and dataflow scheduling. This chapter also explains Classic Designer Dashboard and Wave Designer Dashboard. In addition, it will cover faceting and declarative binding.
Chapter 5, Einstein for Sales, explains how to create an executive dashboard. While creating dashboards, you will learn about creating static steps, selection, and result binding.
Chapter 6, Einstein at Your Service, covers creating a service dashboard. 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 sharing in Einstein Analytics. This chapter covers Salesforce data access, data sharing, and data security, while also taking you through adding row-level security to a dataset.
Chapter 8, Recipe in Einstein, covers how to create a recipe. When working with data, there are times when we realize that we have added a lot of unnecessary fields and data, and we need to remove them. We also need to add new fields to the same dataset if we have missed a required field or, if we need to add a new one in the future. This is called data preparation and it is easier with Einstein Analytics.
Chapter 9, Embedding Einstein Dashboards, is all about Einstein Analytics providing the flexibility to embed dashboards within other Salesforce environments. It covers all the different methods of embedding dashboards and adding filters to embedded dashboards.
Chapter 10, Advanced Technologies in Einstein Analytics, covers advanced technologies or methods in Einstein Analytics. This chapter also covers the use of JSON, XMD, and SAQL for working on complex solutions.
Chapter 11, Machine Learning and Deep Learning, gives an overview of machine learning, deep learning, and NLP. You will also see the implementation of all these technologies in Einstein Analytics: Einstein Language and Einstein Sentiment.
