Business Intelligence on Oracle Analytics Cloud Ed1 -

Business Intelligence on Oracle Analytics Cloud Ed1

Duration : 3 Days (24 Hours)

Overview

Course Details

Prerequisites

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:

Master key functionalities of Oracle Analytics Cloud for efficient data aggregation and analysis.
Derive meaningful insights by analyzing diverse datasets.
Create visual narratives and build interactive dashboards for effective data representation.
Utilize predictive modeling to make informed decisions based on data trends and patterns.
Harness machine learning capabilities within the Oracle platform for predictive analysis.
Deploy self-service analytics to promote data-driven decision-making within an organization.
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

Classroom

Interaction and collaboration
Networking opportunities
Real-time feedback
Personal attention

Onsite

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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