1.1 Introduction (2:27) - the basic components of Origin and how they are organised.
1.2 Locating Data (8:55) - the data browser, locate and analysis tools.
1.3 Data Collections (2:45) - how multiple queries are grouped into meaningfull collections.
1.4 Resource Library (4:19) - Observatory style functions for sharing other documents and reports.

2.1 Data Table (3:29) - viewing and pivoting tabular data.
2.2 Charting (10:31) - creating charts.
2.3 Mapping (4:54) - creating maps.
2.4 Correlation (4:55) - detailed analyis using correlations and double indicator mapping.

3.1 User Profiles (6:41) - Saving data queries and maps for later retrieval.
3.2 Collections (10:03) - Sharing multiple sets of data as meaningfull Collections.
3.3 Creating and sharing tables, charts and maps. (9:47)
3.4 Resource Library (8:57) - Creating documents and reports.
3.5 Collaboration (9:09) - through commenting and discussion forums.

4.1 Area Profiling (4:00) - geographic profiles using postcodes, wards etc.
4.2 Stats On Maps (4:09) - regional views of profile data on maps.
4.3 Point or Incident Data Analysis (05:40) - deeper analyis of point/incident data.
Please note: this example contains only de-personalised and geographically amended data. The points shown do not relate to actual incident/locations.

5.1 Analysis Scenarios (20:52) - 4 scenarios demonstrated.
5.2 Publisher Tools 1 - data baskets - training exercises.
5.3 Publisher Tools 2 - resources - training exercises.

6.1 Configuring and uploading a basic dataset.
6.2 Datasets with manual aggregation and standardisation of data.
6.3 Datasets with automatic aggregation.
6.4 Datasets with automatic aggregation and standardisation.