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In this course, you will learn:-
- Data Sets and Data Mash-ups
- Correlation Charts should be made
- Create a narrative and a storey
- Data Visualization Desktop should be installed
- Experiment with various filter types
- Search and ASK for NLP-based insights
- Create bar, pie, and map charts
- Heatmap, Treemap, and Trellis are three new charts
- Make a cause-and-effect diagram
- Regression Plots should be created
- Data Enrichment with Added Value
- Data Flow and Data Blending
- Create trendlines and forecasts.
- Visualization based on machine learning.
- Visualization of Advanced Maps.
- Learn how to use the Advanced Expression Builder.
- Business intelligence in the 21st century
Syllabus:-
- Introduction
- Course Sections and Learning Objectives
- Resources
- Important Update for Desktop Setup
- Setup Data Visualization for Oracle Analytics
- Setup your Data Visualization Environment
- Welcome to Building Your First Data Visualization Project
- What is Modern or Augmented Analytics?
- Project Overview: Attrition Analysis
- Overview of Oracle Analytics Home
- Bring Your Data to Oracle Analytics
- Build a Data Visualization Project
- Augmented Data Visualization for Attrition Data
- Working with Chart Properties
- Working with Projects and Filters
- Visual Interaction with Canvases
- ASK Data for Auto-Visualization with Natural Language Query
- Build your First Data Visualization Project for Attrition Analysis
- Bonus Project: School Donation Analysis
- Data Visualization with Oracle Analytics - Basics
- Section Overview for Data Preparation
- Project Overview: Sales Analysis
- Loading Multiple Data Sets
- Data Preparation Basics with Oracle Analytics
- Augmented Data Enrichment with Recommendations
- Data Preparation Script to Manage Enrichments
- Enhanced Insights with Enriched Datasets
- Bonus: Demo Data Enrichment for School Donation Data Set
- Build your Data Prep Project for Sales Analysis
- Bonus Project: Data Enrichment for School Donation Analysis
- Data Preparation and Augmented Enrichment Quiz
- Project Overview: Soccer Half-Time Analysis
- Load and Enrich Soccer Data Set
- Augmented Analysis using Explain Feature
- Auto Generated Insights to build Canvas
- Build Calculated Metrics
- Create Multiple Canvases to Build Discovery Story
- Enhance Visualization with Plug-in Charts
- Add Advanced Analysis to Support Your Discovery Story
- Provide Narration for Story Telling and Collaboration
- Bonus: Demo - What are key factors contributing to attrition?
- Build Your Story Telling Project
- Bonus Project: Detailed Analysis on Attrition Data with Multiple Data Sets
- Quiz: Story Telling and Collaboration with Oracle Analytics
- Project Overview: FARS Accident Analysis
- Explore Built-in Charts and Auto-Suggest Visualization
- Pattern Brushing to Visually Inspect Co-related Data
- Understand Filter Types to Focus on Relevant Data
- Advanced Map Visualization
- Leverage Built-in Time Series Functions
- Navigation Actions Across Visual Components
- Advanced Properties for Charts and Canvas
- Manage Your Project
- Demo FARS Analysis
- Build Your Advanced Visualization Project
- Bonus Project: Map Visualization Examples
- Quiz: Advanced Visualization with Oracle Analytics
- Cricket World Cup 2019: Insight into Strategies to Win - An Analytic Story
