Business Intelligence on Oracle Analytics Cloud Ed1

Duration : 3 Days (24 Hours)

Business Intelligence on Oracle Analytics Cloud Ed1 Course Overview:

The Business Intelligence on Oracle Analytics Cloud Ed1 certification validates an individual’s understanding and expertise in using the Oracle Analytics Cloud service for business intelligence and data analysis. This certification focuses on creating, managing, and utilizing content on the cloud-based platform, including visualization, exploration, reporting, and augmentation capabilities. Industries utilize this certification to empower their technical and analytical staff to leverage cloud-based data analytics for decision-making processes. Certified professionals can harness the potential of big data, providing valuable insights and creating data-driven strategies to drive success for their organizations.

Intended Audience:

  • Business analysts seeking advanced data analysis skills to derive valuable insights from data.
  • IT professionals responsible for managing Oracle Cloud environments, including Oracle Analytics Cloud.
  • Decision-makers who aim to leverage data-driven insights for making informed strategic decisions.
  • Data scientists looking to utilize Oracle Analytics Cloud for their data analysis and visualization needs.
  • Enterprises that are implementing Oracle Analytics Cloud solutions to enhance their data analytics capabilities and gain a competitive edge.

Learning Objectives of Business Intelligence on Oracle Analytics Cloud Ed1:

The learning objectives of the Business Intelligence on Oracle Analytics Cloud Ed1 course are designed to help students achieve the following:

  1. Master key functionalities of Oracle Analytics Cloud for efficient data aggregation and analysis.
  2. Derive meaningful insights by analyzing diverse datasets.
  3. Create visual narratives and build interactive dashboards for effective data representation.
  4. Utilize predictive modeling to make informed decisions based on data trends and patterns.
  5. Harness machine learning capabilities within the Oracle platform for predictive analysis.
  6. Deploy self-service analytics to promote data-driven decision-making within an organization.
  7. Gain proficiency in leveraging the Oracle Analytics Cloud platform to drive business intelligence and enhance overall organizational performance.

By achieving these objectives, students will be well-equipped to use Oracle Analytics Cloud to its full potential, enabling them to make data-driven decisions and contribute significantly to their organization’s success.

Module 1: Introduction to Cloud Computing and Oracle Analytics Cloud Services

  • Cloud Computing Overview
  • Introduction to Oracle Analytics Cloud

Module 2: Accessing and Organizing Content

  • Finding and Exploring Your Content
  • Renaming Items
  • Sharing Items

Module 3: Create Analyses and Apply Sorts

  • Managing Columns and Hierarchies
  • Sorting Values in Views
  • Access and Apply Multiple Sorts
  • Views in Analyses
  • Displaying Data in a Table
  • Edit Analysis Properties
  • Work with Totals and Subtotals
  • Working with Pivot Tables
  • Calculated Item Versus Calculated Group
  • Trellis View, Tree Map, Ticker
  • Formatting
  • Column Styles
  • Column Format
  • Conditional Format
  • Advanced Data Formats

Module 4: Filters and Selection Steps

  • Drill In Results
  • Create a Filter
  • Group Filters to Limit Data in Analyses
  • Apply a Condition
  • Prompts and Variables
  • Repository Variables
  • Presentation Variables
  • Create a Prompt Filter
  • Create a Column Prompt
  • Create a Presentation Variable Prompt

Module 5: Use Master Detail Views, Map Views, and Action Links

  • Linking Views in Master Detail Relationships
  • Background Maps
  • Add a Map View
  • Interactive Analyses
  • Create Inline Actions

Module 6: Working with Expressions

  • Aggregate Functions
  • Time Series Functions
  • Use the Bin Function

Module 7: Unions and Direct Data Warehouse Access

  • Set Operators
  • Create Additional Subject Area and Queries for a Union

Module 8: Create Dashboards and Add Content to Dashboard

  • Introduction to Dashboards
  • Dashboard Pages and Page Options
  • Personal and Shared Dashboards
  • Using Dashboard Builder
  • Drill In Place
  • Using Filters to Limit Data in Analyses
  • Grouping Filters to Limit Data in Analyses
  • Deleting Dashboard Pages
  • Using Master-Detail Views, Map Views, and Action Links
  • Linking Views in Master-Detail Relationships
  • Map Views
  • Creating Dashboards

Module 9: Create and Publish Model

  • Overview of Data Modeler
  • Create Fact and Dimensional Tables
  • Create a Time Dimension
  • Create Hierarchies and Calculated Measures
  • Synchronize Model with Database
  • OAC Developer Client Tool
  • Install and Configure
  • Create a Data Model
  • Create a Business Model
  • Create Joins and Hierarchies
  • Differences Between Data Modeler & Developer Client

Business Intelligence on Oracle Analytics Cloud Ed1 Course Prerequisites:

  • Basic understanding of cloud technology.
  • Knowledge in Oracle Database concepts.
  • Familiarity with SQL.
  • Experience in data modeling.
  • Hands-on experience with Oracle Analytics Cloud.
  • Understanding of business intelligence concepts.
  • Proficiency in data visualization and reporting.

Discover the perfect fit for your learning journey

Choose Learning Modality

Live Online

  • Convenience
  • Cost-effective
  • Self-paced learning
  • Scalability


  • Interaction and collaboration
  • Networking opportunities
  • Real-time feedback
  • Personal attention


  • Familiar environment
  • Confidentiality
  • Team building
  • Immediate application

Training Exclusives

This course comes with following benefits:

  • Practice Labs.
  • Get Trained by Certified Trainers.
  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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