Build reusable, analysis-ready datasets in Oracle Fusion Data Intelligence with this tutorial playlist designed for new and intermediate authors. Follow a practical progression from importing external files and combining data sources to improving data quality and preparing columns for analysis.
In this playlist you’ll learn how to:
- Upload and import external data, including multi-sheet Excel files, for use in Fusion Data Intelligence.
- Create datasets from multiple sources, including local subject areas and files.
- Improve dataset quality by identifying and addressing common data-quality issues.
- Replace null or missing values during self-service data preparation.
- Modify dataset columns by changing data types, adding new columns, and renaming existing columns.
- Apply auto-generated recommendations to streamline data preparation.
Together, these tutorials provide a practical path for turning raw business data into clean, reusable datasets that are ready for analysis. Watch the full Import and Prepare Data in Fusion Data Intelligence playlist to build your data preparation skills and learn practical techniques for creating reliable, analysis-ready datasets.
For more information about working with data and creating analytics content in Oracle Fusion Data Intelligence, see the Oracle Fusion Data Intelligence user guide and Get Started with Oracle Fusion Data Intelligence.
To continue developing your analytics skills, explore self-paced short courses in the Oracle Analytics and AI Learning Hub.
Explore the full Oracle Analytics Cloud and Fusion Data Intelligence tutorial playlist for additional hands-on tutorials.
If there is a playlist you are interested in seeing curated, please share your requests!
