Preview Augmented Data Visualization with Machine Learning

Getting Started

01 Introduction

04 Future of Analytics and Innovation

05 Setup Oracle Analytics Data

06 Introduction to Data Sets and Data SOURCES

07 Built-in Data Connectors with Oracle

08 Connect to Relational Database and create dataset

09 Oracle Essbase Connection to Create dataset

10 Connect to Big Data Source to Build visualization

11 SaaS Application as a Source for Data set

12 Oracle Autonomous Database as a source

13 Leverage Snowflake Connection to create data sets

16 Build Your First Data Flow - Comprehensive Overview of Data Flow Process

17 Run and Manage Your Data Flow

18 Create Multiple Targets with Single data flow

19 Create Execution Sequence with multiple data flow

20 Store Your Data Flow Target Data

21 Introduction to Business Use Case for advance analytics

22 Create Reference Line to Examine data

23 Create Trend-line to Understand Progressive Stat of Measure in your Data

25 Compare and Understand Outliers with 'Explain' Driven Analysis

26 Leverage Expression Builder to create Advanced Analytic Function

27 Story Telling Your Discovery for Sales performance

28 Introduction to Business Use Case for

29 Analytics Tasks Classification

30 Basics of Machine Learning

31 Learn to Make Machine Learn!

32 Machine Learning for Business Users

33 Bike Rental Data Exploration for ML

34 Build Regression Based Model for Bike Rental Use Case

35 Evaluate Machine Learning Model PERFORMANCE

36 Leverage Model to Predict Future BIKE RENTALS

37 Dynamic Analysis with Scenario

38 Demo Bonus Project Predicting CHRONIC DISEASES

39 Introduction to Top 10 Features of

40 Top 5 Features for Stunning Visual

41 Top 5 Features for Machine Learning

42 Demo Top 10 Features