SQL

SQL for Data Analyst

Target Audience:

This course is intended for individuals with a basic understanding of machine learning concepts who are interested in exploring the world of Generative AI. Students with programming experience will benefit most from the hands-on projects, but it's not mandatory.

Course Duration:

The duration can be adjusted based on the desired depth and coverage, ranging from 8 Hours to 10 Hours.

Course Goals:

Gain a thorough understanding of the relational database model and SQL.

Develop practical skills in writing data retrieval queries using SELECT statements.

Master essential data manipulation techniques like INSERT, UPDATE, and DELETE.

Understand and utilize data filtering using WHERE clauses and operators.

Explore join operations for working with multiple tables.

Learn basic data aggregation functions like MIN, MAX, SUM, and AVERAGE.

Gain familiarity with database management concepts like schemas, constraints, and indexes.

Course Modules:

Module 1: Introduction to Databases and SQL

What is a relational database?

Key components of a database: tables, columns, records

Introduction to SQL: its purpose and basic syntax

Setting up a development environment for practicing SQL

Module 2: Data Retrieval with SELECT Statements

Writing basic SELECT queries to retrieve specific columns and rows

Understanding different data types and handling formatting

Applying WHERE clauses to filter data based on conditions

Utilizing operators like AND, OR, and NOT for complex filtering

Sorting data using ORDER BY clause

Module 3: Data Manipulation with INSERT, UPDATE, and DELETE

Adding new data records to a table using INSERT statements

Modifying existing data in a table using UPDATE statements

Removing unwanted data records using DELETE statements

Understanding data integrity and constraints

Module 4: Joining Tables for Relational Analysis

Introduction to the concept of joins: inner, left, right, and full joins

Utilizing joins to combine data from multiple tables

Writing queries with multiple joins for complex relationships

Module 5: Working with Functions and Aggregation

Applying built-in functions for calculations and data manipulation

Utilizing aggregate functions like MIN, MAX, SUM, and AVERAGE

Grouping data and applying aggregate functions for analysis

Creating subqueries for nested queries

Module 6: Database Management and Optimization

Understanding database schemas and table creation

Defining data types, constraints, and indexes

Basic concepts of database security and user permissions

Optimizing queries for improved performance

Assessment:

Hands-on assignments and projects involving real-world data scenarios