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Fundamentals of Watson Analytics

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Based on 2,849 ratings
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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
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Traffic lights

Read about what's good
what should give you pause
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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Reviews summary

Foundational guide to ibm watson analytics

According to students, "Fundamentals of Watson Analytics" offers a largely positive and practical introduction to IBM Watson Analytics. Learners found the course provides a strong foundation in data analysis, especially appreciating the hands-on labs and clear explanations of features like natural language querying and predictive analytics. Many highlighted its relevance for working professionals seeking to apply AI in data. While some felt it was best for beginners and could benefit from more advanced case studies or deeper dives into underlying models, the course is praised for its up-to-date content and effective instruction in areas like importing and refining data and creating visualizations and dashboards.
Ideal for those new to Watson Analytics, potentially basic for experienced users.
"The content is good for absolute beginners, but I was looking for more depth in machine learning applications."
"If you already have some experience with BI tools, you might find it too superficial."
"As someone new to Watson, this course gave me exactly what I needed to get started effectively."
Course content appears to be regularly updated and relevant.
"The course content is up-to-date and very relevant."
"Sometimes the natural language processing felt limited, but that's more about the tool than the course."
"Some of the older demos seemed slightly off due to updates, but still usable; it shows the course is evolving."
Comprehensive coverage of Watson Analytics' key functionalities.
"I found the section on importing and refining data especially useful for real-world application."
"I particularly appreciated the modules on natural language querying and data visualization."
"The emphasis on cognitive starting points and decision trees was particularly insightful for me."
Labs and practical exercises enhance learning and application.
"The hands-on labs were incredibly helpful, making complex topics like predictive analytics feel accessible."
"I particularly appreciated the modules on natural language querying and data visualization."
"I liked the hands-on exercises in this course, they were very useful for understanding."
Provides a clear, hands-on foundation for using Watson Analytics.
"Fantastic course for anyone new to Watson Analytics. The hands-on labs were incredibly helpful, making complex topics like predictive analytics feel accessible."
"This course really delivers on its promise to teach the fundamentals. It's a very practical course that doesn't just stick to theory."
"Absolutely invaluable! As a professional looking to leverage AI in data analysis, this course provided a clear, concise, and practical guide."
Some reviewers found demos difficult to follow due to pacing.
"The demos were sometimes difficult to follow due to unclear instructions or fast pacing. I struggled with some of the exercises."
Could benefit from more advanced topics and detailed case studies.
"My only minor critique is that some parts felt a bit rushed, and I wished for more advanced case studies."
"I was looking for more depth in machine learning applications within Watson."
"I felt it could benefit from more detailed explanations on the underlying statistical models for key drivers."

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.
Show steps
  • 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
Show steps
  • 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.
Browse courses on Machine Learning
Show steps
  • 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
Five other activities
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Show all eight activities
Join Discussion Forums for Collaborative Learning
Engage with peers to exchange ideas, clarify concepts, and gain diverse perspectives on course topics.
Show steps
  • 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

Career center

Learners who complete Fundamentals of Watson Analytics will develop knowledge and skills that may be useful to these careers:

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Effort
1 total hour
Via
Udemy
Instructor
VICONIC Development
Language
English
Traffic lights
Read about what's good
what should give you pause
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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