Augmented Data Visualization with Machine Learning

Description

Data Visualization is new Analytics and, Augmented Analytics is new Data Visualization! In this course you will work on machine learning models for predictive analytics and advanced data flow features through hands on training with Oracle Analytics. This course is designed to provide you with many hands-on activities to learn building modern data visualization projects. This is new business intelligence!

Are you a business analyst curious about what Oracle Analytics can do? Then this is the course for you. We’re assuming that you know the basics of using analytics in your business. So we designed this course for you to jump right in to a technical, hands-on product experience. Every section is packed with both video and screencast to show you each analytics capability, plus demo files and scripts to download, so you can try it yourself!

Since we can’t guess which use case you’re itching to try out, we’ve packed the course with different projects like sales analysis, school donation analysis, HR attrition analysis as well as advanced projects such as Machine Learning models for Predictive Analysis. Curious about some other application for analytics? Try it with your own data too!

As a day-to-day analyst and data visualization user, you will find this course fun and informative, try it out with your own data set! We hope that you have great time learning this exciting new data visualization capabilities.

Analytically Yours,
Your Instructors

What will you learn
  • Identify Cluster in your Data

  • Build and Apply ML Models

  • Machine Learning with Visualization

  • Regression Analysis

  • Correlation Analysis

  • Build Visualization with SaaS Applications

  • One Click Advanced Analytic Functions

  • Connecting Autonomous DW and Essbase

  • Data Sets from Big Data, Snowflake and other DBs

  • Managing Data Sources

  • Data Flow Advanced Topics

  • Data Aggregation with Data Flow

  • Advanced Visualization with Picto Charts

  • Modern Business Intelligence


Requirements
  • Passionate about Learning Modern Visualization
  • Basic understanding of Business Analysis
  • Basic Understanding of Statisitics

Lessons

  • 56 Lessons
  • 03:12:45 Hours
  • Introduction00:03:56
  • Course Sections and Learning Outcomes00:03:02
  • Key information & resource
  • Resource 00:01:05
  • Resource File
  • Future of Analytics and Innovation Cycle for Analytics00:05:31
  • Setup Oracle Analytics Data Visualization Environment00:05:16
  • Assignment1_Setup_Data_Visualization
  • Introduction to Data Sets and Data Sources00:01:45
  • Section2_Resources
  • Built-in Data Connectors with Oracle Analytics00:05:11
  • Connect to Relational Database and Create Data Set for00:06:15
  • Oracle Essbase Connection to Create Data Set for Visualization00:04:05
  • Connect to Big Data Source to Build Visualization00:03:17
  • SaaS Application as a Source for Data Set and Visualization00:08:30
  • Oracle Autonomous Database as a Source for Data Sets00:03:55
  • Leverage Snowflake Connection to Create Data Sets00:02:36
  • Management of Data Sets and Data Connections00:03:07
  • Augmented Data Visualization with Machine Learning - Udemy00:02:27
  • Section3_Data+Flow_Assignment
  • Section3_Resources
  • Build Your First Data Flow - Comprehensive Overview of00:14:31
  • Run and Manage Your Data Flow Process00:04:22
  • Create Multiple Targets with Single Data Flow!00:05:27
  • Create Execution Sequence with Multiple Data Flows00:03:35
  • Store Your Data Flow Target Data00:08:03
  • Introduction to Business Use Case for Advanced Analytics00:03:20
  • assignment_Resource
  • Resource
  • Section4_Advanced_Analytics_Assignment.pdf
  • Create Reference Line to Examine your Data00:07:17
  • Create Trend line to Understand Progressive Stat of Measure00:04:57
  • Create Clusters and Outliers on Data Using Single Click00:05:51
  • Compare and Understand Outliers with 'Explain' Driven00:04:12
  • Leverage Expression Builder to create Advanced Analytic00:05:48
  • Story Telling Your Discovery for Sales Performance00:04:41
  • Introduction to Business Use Case for Machine Learning00:02:43
  • demo lab
  • Resource
  • Analytics Tasks Classification00:00:00
  • Basics of Machine Learning Algorithms00:08:00
  • Learn to Make Machine Learn!00:03:08
  • Machine Learning for Business Users00:04:21
  • Bike Rental Data Exploration for Machine Learning00:05:08
  • Build Regression Based Model for Bike Rental Use Case00:04:14
  • Evaluate Machine Learning Model Performance00:03:33
  • Leverage Model to Predict Future Bike Rentals00:04:47
  • Dynamic Analysis with Scenario Modeling00:04:19
  • Demo Bonus Project Predicting00:05:10
  • Introduction to Top 10 Features of Oracle Analytics Cloud00:01:04
  • Resource
  • Resource
  • Top 5 Features for Stunning Visual Experience00:03:10
  • Top 5 Features for Machine Learning Driven Augmented00:04:31
  • https://www.youtube.com/watch?v=W0g7Tm10Nyg00:04:57
  • Thank You00:01:38

About instructor

Instructor
Name : Surenther I AP KCE
Reviews : 11 Reviews
Student : 309 Students
Courses : 10 Courses

Reviews

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19L141-Shivakumar V - Thu, 01-Jan-1970