Watson Analytics Training

COURSE CURRICULUM – Watson analytics

• Module 1 - Overview of Watson Analytics
1. Identify Watson Analytics components and the user interface (Overview)

• Module 2 - Data
1. Identify data structure limitations and requirements
2. Upload data from flat files
3. Create a secure connection
4. Create a secured gateway
5. Shape data before uploading
6. Upload data from Twitter

• Module 3 - Refine data
1. Join data sets
2. Add a calculation to the data set
3. Add a data group to the data set
4. Add a hierarchy

• Module 4 - Discover patterns, relationships, and predictive insights
1. Change column headings
2. Sort data
3. Perform analysis using natural language questions
4. Edit targets in a predictive analysis
5. Navigate the spiral in a predictive analysis
6. View decision rules and the decision tree

• Module 5 - Provide added value to the analysis
1. Share the analysis through email
2. Add social commentary to the analysis

• Module 6 - Assemble a display
1. Change visualization types in a display
2. Modify properties of a display
3. Filter visualizations in a display

• Module 7 - Control access
1. Share assets and set access permissions