Fundamentals of Watson Analytics
What you’ll learn
Learn the Fundamentals of Watson Analytics
Importing, joining, and refining data
Using natural language querying
Understanding key drivers
Data, discovery, and display
Displaying insights and interpreting decision trees
Requirements
Plus or Pro Watson Analytics to import use case data
Description
IBM Watson Analytics is an advanced data analysis and visualization solution in the cloud that guides you through analysis and discovery of your data.Watson Analytics is a smart data analysis and visualization service you can use to quickly discover patterns and meaning in your data – all on your own. With guided data discovery, automated predictive analytics and cognitive capabilities such as natural language dialogue, you can interact with data conversationally to get answers you understand. Whether you need to quickly spot a trend or you have a team that needs to visualize report data in a dashboard, Watson Analytics has you covered.
In this course, students will learn the fundamentals of Watson Analytics and become proficient with Watson’s tools. Students will learn how to use features such as machine learning and predictive analytics.
We will get into how to import and refine data from local or cloud-based sources; build new calculations, hierarchies, and data groups on the fly; and leverage cognitive starting points, natural language queries, and dynamic insights. Find out how to auto-detect trends and correlations and generate predictive models and decision trees quickly. Plus, learn how to create and share visualizations, dashboards, and infographics to bring your insights to life.
Overview
Section 1: Introduction
Lecture 1 Welcome
Lecture 2 Introduction
Lecture 3 Getting started
Section 2: Watson Analytics Overview
Lecture 4 What is Watson Analytics
Lecture 5 Version and registration details
Lecture 6 Data, Discover, and Display
Lecture 7 Account settings
Lecture 8 Data structure
Lecture 9 Add-ons: Social Media
Section 3: Import and Refine Data
Lecture 10 Features and functionality
Lecture 11 Importing the data set and refining
Lecture 12 Creating calculations, hierarchies, and groups
Section 4: Insights
Lecture 13 Cognitive starting points
Lecture 14 Natural language queries
Lecture 15 Customize visualizations
Lecture 16 Key drivers
Lecture 17 Decision rules and decision trees
Section 5: Display Findings
Lecture 18 Display interface
Lecture 19 Assemble multi-tabbed dashboard
Lecture 20 Creating new content within a display
Lecture 21 Share content
Anyone wanting to learn Watson Analytics,Developers
Course Information:
Udemy | English | 1h 4m | 300.72 MB
Created by: VICONIC Development
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