What you’ll learn
Backup a database
Restore a database
Create stored procedures
Write SQL queries with confidence
Select data from specific table column
Select data from all table columns
Join data from multiple tables
Insert records into the database
Extract data from database using subqueries
Query databases with multiple operators
Filter Data from database
Sort data from database
SQL or Structured Query Language is a critical tool for data professionals. It is undoubtedly the most important language for getting a job in the field of data analysis or data sciences.
Millions of data points are being generated every minute and raw data does not have any story to tell. After all this data gets stored in databases and professionals use SQL to extract this data for further analysis.
SQL is the most common language for extracting and organising data that is stored in a relational database.
A database is a table that consists of rows and columns. SQL is the language of databases.
It facilitates retrieving specific information from databases that are further used for analysis.
SQL can be used to:
- Execute queries against a database
- Retrieve data from a database
- Insert records into a database
- Update records in a database
- Delete records from a database
- Create new databases, or new tables in a database
- Create stored procedures & views in a database
- Set permissions on tables, procedures, and views
- Backup and restore data
- Join data from multiple tables
Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other
software applications—which may run either on the same computer or on another computer across a network.
PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance.
Who this course is for:
- Beginners to SQL
SQL for beginners with: Microsoft SQL Server | PostgreSQL
Query and interact with databases using SQL