1.Introduction to IBM Watson Analytics

£ What is IBM Watson Analytics
£ Key features and benefits of IBM Watson Analytics
£ The IBM Watson Analytics editions.
£ Request an IBM ID (Live)
£ Accessing IBM Watson Analytics

2. Working with Data

£ Preparing the Data
£ Good Data Structures vs Poor Data Structures
£ Uploading Data
£ Creating Data Sets
£ Refining Data Sets
£ Replacing Data in Data Sets
£ Navigating Watson Analytics
£ Using functions in calculations

3. Asking Questions / Exploring Insights

£ Exploring data by asking questions
£ Visualizing the Data
£ Using the Insight bar
£ Using the Data Tray
£ Setting aside Visualizations to use in dashboards / stories
£ Filtering / Sorting Data

4. Finding out what drives outcomes

£ Using the Predict Capability
£ Basic flow for creating Predictions
£ Exploring Predictions
£ The Corresponding Snapshot Visualization
£ Editing Predictions
£ Setting aside Predictions to use in dashboards
£ Understanding Field Roles
£ Changing Measurement levels of fields
£ Factors that Affect Data Quality Scores

5. Assembling Insights to share with others

£ Using the Assembling capability
£ Create Dashboards and Stories
£ Testing a Story or a Scene
£ Changing Modes
£ Create a Story form a dashboard
£ Using Templates
£ Creating / Customizing Views
£ Changing the Properties of Objects
£ Collecting
£ Sharing with Others
£ IBM Watson Analytics and Administration

6. Getting started with Watson Analytics for Social Media

£ Hands-on Demo