Topics:

• Overview of the course and objectives
• Understanding relational databases
• Exploring the relational database model
• Introduction to tables, data types, and constraints
• Basics of SQL and its purpose
• Overview of schemas and database objects
• Getting started with MySQL Workbench

Topics:

• – Overview of Python
• – Python’s Role in Data Science
• – Setting Up the Python Environment
• – Writing Your First Program: “Hello, World”

Topics:

• Introduction to the employee data model
• Understanding SQL commands
• Writing basic SELECT statements
• Exploring SQL operations and clauses
• Filtering data with the WHERE clause
• Introduction to SQL functions

Topics:

• Using SQL for data analysis
• Exploring the significance and benefits of SQL
• Fundamentals of queries and their purpose
• Applications of SQL in different industries
• Getting started with MySQL

Topics:

• Introduction to SQL database administration
• Overview and navigation of MySQL Workbench
• Writing SQL with best practices in syntax
• Creating databases in MySQL
• Defining and creating tables in databases
• Using SHOW and DROP commands
• Using the INSERT INTO command

Topics:

• Fundamentals of SQL operations
• Acquiring datasets for practice
• Using the Table Data Import Wizard
• Writing SELECT * FROM queries
• Applying the LIMIT statement
• Understanding and using aliases

Topics:

• Introduction to filtering data in SQL
• Sorting data with the ORDER BY clause
• Applying the WHERE clause for data selection
• Using logical operators like AND, OR, and NOT
• Working with the IN operator
• Searching patterns with the LIKE operator

Topics:

• Overview of aggregation and summary functions
• Using the COUNT function
• Finding minimum and maximum values with MIN and MAX
• Summing data using the SUM function
• Calculating averages with AVG
• Grouping data with the GROUP BY clause

Topics:

• Exploring advanced analysis features in SQL
• Converting data types with the CAST function
• Handling date and time data
• Concatenating text with the CONCAT function
• Creating histograms in SQL
• Replacing text with the REPLACE function

Topics:

• – Understanding Modules and Their Purpose
• – Installing and Using Modules
• – Fetching External Modules
• – Key Modules and Libraries in Python

Topics:

• Understanding table-to-table relationships
• Exploring different types of relationships in SQL
• Learning about keys and their role in databases
• Designing Entity-Relationship Diagrams (ERDs)

Topics:

• Introduction to combining tables in SQL
• Using the JOIN clause to merge tables
• Applying the UNION clause to combine data

Topics:

• Introduction to advanced data analysis in SQL
• Using the CASE statement for conditional logic
• Filtering groups with the HAVING clause
• Implementing window functions in SQL
• Ranking data with the RANK function
• Calculating moving averages
• Utilizing regular expressions in SQL

Topics:

• Introduction to efficient data analysis techniques
• Creating and using temporary tables
• Leveraging views for streamlined queries
• Understanding and using SQL indexes
• Automating tasks with stored procedures
• Normalizing databases for optimization