The purpose of this course is to introduce relational database concepts and to learn and apply foundational knowledge of the SQL language. It is also intended to provide a foundation to performing SQL access in a data science environment.
- Getting Started with SQL
- Introduction to Databases
- SELECT Statements
- COUNT, DISTINCT, LIMIT Statements
- INSERT Statements
- UPDATE and DELETE Statements
- Introduction to Relational Databases and Tables
- Relational Database Concepts
- Types of SQL statements (DDL vs. DML)
- CREATE TABLE Statement
- ALTER, DROP, and Truncate tables
- Create and Load Tables using SQL Scripts
- Intermediate SQL
- Refining your Results
- String Patterns, Ranges, Sorting, and Grouping
- Functions, Multiple Tables, and Sub-queries
- Built-in Database Functions
- Sub-Queries and Nested SELECTS
- Working with Multiple Tables
- Refining your Results
- Accessing Databases using Python
- How to Access Databases Using Python
- Writing Code using DB-API
- Connecting to a Database Instance
- Creating Tables, Inserting, and Querying Data
- SQL Magic
- Analysing Data with Python
- Course Assignment
- Working with Real World Datasets
- Getting Table and Column Details
- Loading Data
- Bonus Module: Advanced SQL for Data Engineering
- Views, Stored Procedures, and Transactions
- Using Views
- Stored Procedures
- ACID Transactions
- Committing and Rolling Back a Transaction
- JOIN Statements
- Join Overview
- Inner Join
- Outer Joins
- Views, Stored Procedures, and Transactions
- Analysing data within a database using SQL and Python
- Creating relational databases on Cloud and working with tables
- Comparing and contrasting DDL to DML
- Writing SQL statements including SELECT, INSERT, UPDATE, and DELETE
- Generating joins to query data from multiple tables
To verify the certificates, click the images to follow the links.
