
Discover the fundamentals of Watson Analytics, including version options (free, plus, professional) and how to import data. Explore the new dynamic user interface with data, discover, and display sections.
Open Watson Analytics, load and refine data, discover insights, and display discoveries in interactive dashboards—the three d's of the analytics workflow.
Explore Watson Analytics add-ons for social media, a cloud based self-service tool on a monthly subscription with a ten day trial, plus analytics exchange offering data sets and expert storybooks.
Discover cognitive starting points to reveal price sensitivity and insights from airline satisfaction data set by creating visualizations in the discovery set, and drill down by origin state to city.
Create customized visualizations in Watson Analytics by building a combination chart, dragging fields into data trays to compare satisfaction by status and gender and reveal insights.
Explore how key drivers influence satisfaction through a built-in linear regression model, using spiral charts and heatmaps to drill into travel type, age, gender, and airline.
Learn to assemble a flexible multi-tabbed dashboard in Watson Analytics by configuring the discoveries pane visuals, applying global and local filters, and creating tabs for key insights, drivers, and profiles.
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.