Overview of Course

Einstein Discovery is a cutting-edge AI-powered analytics tool that helps businesses make data-driven decisions with ease. Skillzcafe's Einstein Discovery course is designed to provide you with a comprehensive understanding of how to use this powerful tool to discover insights and make data-driven decisions.

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Course Highlights

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Learn to use Einstein Discovery for data analysis and insights

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Expert-led training from industry professionals

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Hands-on exercises & real-world scenarios

Key Differentiators

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    Personalized Learning with Custom Curriculum

    Training curriculum to meet the unique needs of each individual

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    Trusted by over 100+ Fortune 500 Companies

    We help organizations deliver right outcomes by training talent

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    Flexible Schedule & Delivery

    Choose between virtual/offline with Weekend options

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    World Class Learning Infrastructure

    Our learning platform provides leading virtual training labs & instances

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    Enterprise Grade Data Protection

    Security & privacy are an integral part of our training ethos

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn


How to use Einstein Discovery for data analysis and insights


Identifying trends and patterns in data


Making data-driven decisions


Creating predictive models using AI and machine learning


Interpreting results and making recommendations based on insights

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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  • Adapt to new technologies & processes and increase efficiency and profitability.
  • Improve employee morale, job satisfaction, and retention rates.
  • Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
  • Obtain long-term organizational growth and success.

Course Reviews


  • Discovery Meeting
  • Getting Logged In
  • Planning the Development

  • Overview of Wave Analytics Editions, Licenses, and Permissions
  • Creating Wave Analytics Permission Sets
  • Assigning Permission Set Licenses and Permission Sets
  • Creating and Sharing Wave Analytics Apps

  • Overview of Connecting Data
  • Data Mapping
  • Overview of the Dataflow Process
  • Designing a Dataflow
  • Loading External CSV Data into a Dataset

  • Combining Multiple Datasets in a Dataflow Using Transformations
  • Running, Monitoring, and Scheduling a Dataflow.

  • Overview of Security in Wave Analytics v Determining Security Requirements
  • Overview of Using Predicate Filters with Salesforce Data
  • Implementing Ownership-Based Row-Level Security
  • Implementing Role-Based Row-Level Security
  • Implementing Team-Based Row-Level Security
  • Implementing Row-Level Security with External Data
  • Overriding Security for Implementation and Testing

  • Overview of JSON for Dashboards
  • Updating the Dashboard JSON File from the lens.apex Page
  • How the Widgets Section of Dashboard JSON Works
  • Building a Dashboard Using an Existing Layout
  • Wave Analytics Dashboard Templates
  • Translating Browser Dashboards to a Mobile Device
  • Creating Mobile Dashboard Layouts in the Dashboard JSON.

  • Limitations of Filters in Lenses and Dashboard in the UI
  • Creating a Dynamic Top-N Filter
  • Creating a Multi-Dataset Dashboard with Selection Binding
  • Creating a Dynamic Filter with Results Binding.

  • Overview of Modifying Queries in a Dashboard
  • SAQL Overview
  • Adding a SAQL Tester Bookmarklet
  • Creating a YoY Growth Dashboard

  • Overview of Extended Metadata (XMD)
  • Backing Up and Uploading a Dataset’s XMD File
  • Adding Quick Action Menus For Records in Wave
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Contact Learning Advisor
  • RedtickMeet the instructor and learn about the course content and teaching style.
  • RedtickMake informed decisions about whether to enroll in the course or not.
  • RedtickGet a perspective with a glimpse of what the learning process entails.
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Target Audience:

  • Data analysts
  • Business analysts
  • Data scientists
  • Marketing professionals
  • IT professionals
    Anyone interested in using AI for data-driven decision making
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  • Basic knowledge of statistics
  • Familiarity with data analysis tools
  • Experience working with data
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Benefits of the course:

  • In-depth understanding of AI-powered analytics
  • Hands-on experience with Einstein Discovery
  • Ability to make data-driven decisions with confidence
  • Improved career prospects
  • Certification from Skillzcafe
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Exam details to pass the course:

  • Online exam
  • Multiple-choice questions
  • Passing score: 70%
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Certification path:

  • Einstein Discovery Essentials
  • Einstein Discovery Administrator
  • Einstein Analytics and Discovery Consultant
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Career options:

  • Data analyst
  • Business analyst
  • Data scientist
  • Marketing analyst
  • AI analyst
  • IT analyst

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Expert-led training from industry professionals
  • Bullet Icon Flexible learning options
  • Bullet Icon Comprehensive course materials and resources
  • Bullet Icon Hands-on experience with real-world scenarios
  • Bullet Icon Certificate of completion<br />&nbsp;


The course is self-paced, and the duration depends on the individual's learning speed.

Yes, Skillzcafe offers a 30-day money-back guarantee.

Yes, you'll have lifetime access to the course materials and resources.

Yes, basic knowledge of statistics, familiarity with data analysis tools, and experience working with data are required.

Yes, you'll need access to Salesforce Einstein Discovery software.

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