Lesson 1: Overview of Watson Analytics
o Identify Watson Analytics components and the user interface (Overview).
Lesson 2: Data
o Identify data structure limitations and requirements
o Upload data from flat files
o Shape data before uploading
o Upload data from Twitter.
Lesson 3: Work with data connections
o Create a secure connection
o Create a secure gateway.
Lesson4: Refine data
o Join data sets
o Add a calculation to the data set
o Add a data group to the data set
o Add a hierarchy.
Lesson 5: Discover patterns, relationships, and predictive insights
o Change column headings
o Sort data
o Perform analysis using natural language questions
o Edit targets in a predictive analysis
o Navigate the spiral in a predictive analysis
o View decision rules and the decision tree.
Lesson 6: Provide added value to the analysis
o Share the analysis through email.
Lesson 7: Assemble a display
o Change visualization types in a display
o Modify properties of a display
o Filter visualizations in a display. Lesson 8: Control access
o Share assets and set access permissions.