Lynda - Database Clinic - SQLite
01-Welcome.mp46.54MB
02-The Databa<x>se Clinic series.mp49.16MB
03-What you should know.mp46.62MB
04-Use the exercise files.mp45.15MB
05-A brief overview of SQLite.mp46.65MB
06-Strengths of SQLite.mp44.45MB
07-Weaknesses of SQLite.mp44.32MB
08-Databa<x>se creation.mp415.61MB
09-Overview of solution.mp44.12MB
10-SQLite import with Firefox.mp416.59MB
11-SQLite import with DB Browser for SQLite.mp49.20MB
12-SQLite import with SQLite3 comnd line tool.mp431.97MB
13-Join datasets.mp410.61MB
14-Overview of solution.mp47.68MB
15-Import the accidents data using Python.mp423.25MB
16-Import the vehicles data using Python.mp414.93MB
17-Import Excel files using Python.mp414.70MB
18-Calculations with SQLite and Python.mp414.03MB
19-Code review for R.mp421.44MB
20-Search a databa<x>se.mp410.47MB
21-Overview of solution.mp43.36MB
22-Correct infortion wrong format.mp410.03MB
23-Subqueries and queries in SQLite.mp416.31MB
24-CRUD operations.mp412.25MB
25-Overview of solution.mp43.50MB
26-Create records in SQLite with Python.mp418.99MB
27-Update records in SQLite with Python.mp410.66MB
28-Delete records in SQLite with Python.mp45.45MB
29-Read records in SQLite with Python.mp47.66MB
30-CRUD operations in SQLite with R.mp418.98MB
31-Calculations.mp48.67MB
32-Overview of solution.mp49.44MB
33-Create a demographic split table.mp411.99MB
34-Create a forecast.mp413.96MB
35-Insights on this problem.mp44.04MB
36-Next steps.mp42.63MB
- CreateTime2021-12-23
- UpdateTime2021-12-29
- FileTotalCount76
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