Complete Data Visualization with Machine Learning

  • Duration – 20 hour


  • Course completion certificate
  • Mode of Study – Self Paced Learning
  • 24/7 support

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Complete Data Visualization with Machine Learning

Section 1: Course Introduction


  1. Introduction


  1. Course Sections and LearningOutcomes


  1. Resources


  1. Future of Analytics and InnovationCycle for Analytics


  1. Setup Oracle Analytics DataVisualization Environment


Section 2: Selecting Data Sets from Different Data Sources


  1. Introduction to Data Sets and DataSources


  1. Built-in Data Connectors with OracleAnalytics


  1. Connect to Relational Database andCreate Data Set for Visualization


  1. Oracle Essbase Connection to CreateData Set for Visualization


  1. Connect to Big Data Source to BuildVisualization


  1. SaaS Application as a Source for DataSet and Visualization


  1. Oracle Autonomous Database as aSource for Data Sets


  1. Leverage Snowflake Connection toCreate Data Sets


  1. Management of Data Sets and DataConnections


Section 3: Data Flow Deep-Dive with Oracle Analytics


  1. Introduction to Data Flow Business


  1. Build Your First Data Flow -Comprehensive Overview of Data Flow …


  1. Run and Manage Your Data FlowProcess


  1. Create Multiple Targets with SingleData Flow!


  1. Create Execution Sequence withMultiple Data Flows


  1. Store Your Data Flow Target Data


Section 4: Advanced Analytics Made Easy with Oracle Analytics


  1. Introduction to Business Use Case forAdvanced Analytics


  1. Create Reference Line to Examineyour Data


  1. Create Trend-line to UnderstandProgressive Stat of Measure in your Data


  1. Create Clusters and Outliers on DataUsing Single Click Analytics


  1. Compare and Understand Outlierswith ‘Explain’ Driven Analysis


  1. Leverage Expression Builder to createAdvanced Analytic Function


  1. Story Telling Your Discovery for SalesPerformance


Section 5: Machine Learning with Data Visualization


  1. Introduction to Business Use Case forMachine Learning


  1. Analytics Tasks Classification


  1. Basics of Machine LearningAlgorithms


  1. Learn to Make Machine Learn!


  1. Machine Learning for Business Users


  1. Bike Rental Data Exploration forMachine Learning


  1. Build Regression Based Model forBike Rental Use Case


  1. Evaluate Machine Learning ModelPerformance


  1. Leverage Model to Predict FutureBike Rentals


  1. Dynamic Analysis with ScenarioModeling


  1. Demo Bonus Project: PredictingChronic Kidney Disease


Section 6: Top 10 Features Worth Learning about Oracle Analytics


  1. Introduction to Top 10 Features ofOracle Analytics Cloud


  1. Top 5 Features for Stunning VisualExperience


  1. Top 5 Features for Machine LearningDriven Augmented Analytics


  1. Demo: Top 10 Features


  1. Thank You!

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What People Are Saying

Abhilash -

A very good match. i am enjoying every bit.


Experience was quite good and it was very useful and well elaborated course.




I find that the explanation is good and also understandable.


Really helpful, recommended to everyone to grow up your future skills for next level especially in this competitive market.


I really like this course, it was a good match for me :))


Standard process and hands on covered nicely.



Perfect, with complete hands on. Well structured and nicely covered.


Great Content, nice and up to the mark course.



Great courses. Beginner friendly and the explanations are clear and very easy to understand.


Instructor showed multiple ways of using a concept and how to solve the problem. Excellent course and lecture by the instructor.


A very detailed explanation and quite handy tips and tricks! loved it



Excellent lecture, pace of the instructor is very good, easy to understand


Instructor showed multiple ways of using a concept and how to solve the problem. Excellent course and lecture by the instructor.


This Courses is really useful for my career and surely i will recommend other to fulfill their career goals.

 Mauricio Roldan -

A pesar de no dominar perfectamente el idioma, se entiende bien.


Yes lessons are very good. Not so fast, well explained


Worth course for the beginner to invest their time to learn this demanding skills.

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