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VICONIC Development

IBM Watson Analytics is an advanced data analysis and visualization solution in the cloud that guides you through analysis and discovery of your data.

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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.

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What's inside

Learning objectives

  • 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

Syllabus

What is Watson Analytics
Introduction
Welcome
Getting started
Read more
Watson Analytics Overview
Version and registration details
Data, Discover, and Display
Account settings
Data structure
Add-ons: Social Media
Import and Refine Data
Features and functionality
Importing the data set and refining
Creating calculations, hierarchies, and groups
Insights
Cognitive starting points
Natural language queries
Customize visualizations
Key drivers
Decision rules and decision trees
Display Findings
Display interface
Assemble multi-tabbed dashboard
Creating new content within a display
Share content

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by VICONIC Development who have built a reputation for their work in data analytics
Develops skills and knowledge useful for personal growth and professional development
Teaches skills, knowledge, and tools that are highly relevant to industry
Teaches skills, knowledge, and tools that are highly relevant to an academic setting
Takes a creative approach to an otherwise established topic
Offers a multi-modal and interactive learning experience

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Fundamentals of Watson Analytics with these activities:
Consolidate Course Materials for Easy Reference
Organize and review course materials to improve comprehension and retention.
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  • Download and organize lecture slides, assignments, and other course materials
  • Create a study guide or summary sheet to consolidate key concepts
  • Review materials regularly to reinforce understanding
Review Data Analysis Fundamentals
Strengthen your foundation in data analysis concepts and techniques to enhance your learning in Watson Analytics.
Browse courses on Data Analysis
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  • Review basic data analysis concepts and techniques
  • Practice working with different data structures and data types
  • Use statistical tools and techniques to analyze data
Review Machine Learning Concepts
Refresh your knowledge of machine learning concepts and algorithms to enhance your understanding of Watson Analytics' predictive capabilities.
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  • Review supervised learning algorithms, such as linear regression and decision trees
  • Understand the process of training and evaluating machine learning models
  • Explore different machine learning libraries and tools
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Join Discussion Forums for Collaborative Learning
Engage with peers to exchange ideas, clarify concepts, and gain diverse perspectives on course topics.
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  • Join discussion forums related to Watson Analytics
  • Participate in discussions, asking questions and sharing insights
  • Review and contribute to discussions initiated by other participants
Explore Watson Analytics Insights and Key Drivers
Enhance your understanding of Watson Analytics' capabilities by following guided tutorials on utilizing insights and identifying key drivers.
Show steps
  • Use natural language queries to ask questions about your data
  • Explore cognitive starting points to uncover hidden insights
  • Identify key drivers that influence your data's behavior
Build Data Visualizations Using Watson Analytics
Develop your skills in creating interactive data visualizations using Watson Analytics to bring insights to life.
Browse courses on Data Visualization
Show steps
  • Create a data visualization from scratch
  • Customize the visualization with different chart types and colors
  • Add interactivity to the visualization using custom filters and drill-downs
Develop a Predictive Model Using Machine Learning
Apply your knowledge of machine learning and predictive analytics to build a predictive model that can make forecasts and identify trends.
Browse courses on Machine Learning
Show steps
  • Choose a suitable machine learning algorithm
  • Train the model using historical data
  • Evaluate the model's performance and make necessary adjustments
Develop a Data Analytics Project
Apply your skills by initiating a data analytics project to solve a real-world problem or explore a topic of interest.
Browse courses on Data Analytics
Show steps
  • Define the project scope and goals
  • Gather and prepare data
  • Analyze data using Watson Analytics and other tools
  • Develop insights and recommendations
  • Present findings and communicate results

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