- [Narrator] Database Clinic uses data sets that have been carefully selected. These data sets are in the public domain. They represent real information and illustrate key database concepts. Some data sets are quite large. Smaller database management systems may have problems handling that amount of data. The Exercise Files folder contains a reference page for each database. And because the data sets are publicly hosted and may be updated from time to time, a copy of the exact data set used by the author in this course is included in the exercise files, as well.
If you look carefully, you'll see that although the data has similarities, it is represented differently. As we progress through Database Clinic, our instructors will have to address these challenges to get the answers they're looking for.
- Strengths and weaknesses of SQLite
- Creating a database
- Joining data sets
- Calculations with SQLite and Python
- Searching a database
- Subqueries and queries in SQLite
- CRUD operations in SQLite with R
Skill Level Intermediate
1. SQLite in Five Minutes
2. Create a Database
3. Join Two Datasets
4. Search a Database
5. Create, Read, Update, and Delete Operations
6. Averages and Calculations
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