Einstein Analytics Training

Einstein Analytics course makes you a proficient Einstein Analytics expert even if you have not worked in any visualization platform before. Salesforce Einstein is a collection of Artificial Intelligence methodologies that allow Salesforce customers to utilize algorithms in order to interpret data in Salesforce.

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Learn more about the course below.

Training Options in Washington DC

Customized trainings available in Washington DC contact us at sales@greycampus.com

Einstein Analytics training program overview

This course is for individuals who want to move forward in their career by building skills in data science and data visualization. In this course, you will learn how to work in Salesforce with Einstein. Determine exactly what the effective answer has to present to determine if the solution fits with the needs of your organization. Also, learn how to design a dataflow, determine security requirements, creating a dynamic Top-N Filter and creating a YoY growth dashboard.

Overview

Skills

With this course, you will learn how to automate reports, identify workflow requirements, and also analyze the efficiency of the team.

The registration process

Once you have completed our simplified enrolment process, you’ll receive an email confirmation with your payment receipt in your registered email ID. You can then access the entire content of the online student portal immediately by logging in to your account on our site. Should you require any assistance please reach out to us via email (support@greycampus.com) or via our online chat system.

The course curriculum

The curriculum for Einstein Analytics training course covers following list of broad topics.

  • Discovery Meeting
  • Getting Logged In
  • Establishing Users and Development Process
  • User Access on the Einstein Analytics Platform
  • Creating Einstein Analytics Permission Sets
  • Assigning Permission Set Licenses and Permission Sets
  • Creating and Sharing Einstein Analytics Apps
  • Data Mapping
  • Overview of the Dataflow Process
  • Designing a Dataflow
  • Loading External CSV Data into a Dataset
  • Creating and Running a Dataflow
  • Optimizing Data flows
  • Running, Monitoring, and Scheduling a Dataflow
  • Preparing Data with Dataset Recipes
  • Additional Data Flow Transformations
  • Determining Security Requirements
  • Using Predicate Filters with Salesforce Data
  • Implementing Ownership-Based Row-Level Security
  • Implementing Role-Based Row-Level Security
  • Implementing Team-Based Row-Level Security
  • Overriding Security for Implementation and Testing
  • Einstein Analytics Dashboard Layout Templates
  • JSON for Dashboards
  • Building a Dashboard Using an Existing Layout
  • Translating Browser Dashboards to a Mobile Device
  • Creating/Updating Mobile Dashboard Layouts
  • Limitations of Filters in Lenses and Dashboard in the UI
  • Creating a Dynamic Top-N Filter
  • Optimize a Multi-Dataset Dashboard by Connecting Data Sources
  • Creating a Dynamic Filter with Results Binding
  • Dynamically Adjust a Chart with Static Steps
  • Creating a YoY Growth Dashboard
  • Creating a Sales Delta Dashboard
  • Overview of Modifying Queries in a Dashboard
  • SAQL Overview
  • Add an External Salesforce Object to an Einstein Analytics Dashboard
  • Backing Up and Uploading a Dataset’s XMD File
  • Adding Quick Action Menus for Records in Einstein Analytics