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Python Programming in SQL Certification with an Extra Boost Course.

Empower Your Cloud Journey with Python Excellence.

Dynamic Online Learning with Virejetech Certified Instructors.
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"Advance your career with our holistic App Development Program, meticulously designed to cultivate the skills of a modern app developer. This sought-after course covers key modules, including App Development Foundations and Techniques, providing extensive exposure to diverse domains. Empower yourself with cutting-edge tools for Visualization and Insights, ensuring a well-rounded skill set in the dynamic field of app development."

25 hrs

Learning content

Python Programming in SQL

Module1:Introduction to SQL

2 Quizzes

1 Project

2 Quizzes

1 Project

1.1. Overview of SQL
1.1.1. History and Evolution
1.1.2. Importance of SQL
1.2.Relational Databases
1.2.1. Understanding Relational Data
1.2.2. Key Concepts: Tables, Rows, Columns, and Relationships
1.3. SQL Syntax Basics
1.3.1. SQL Statements
1.3.2. SQL Keywords
1.3.3. SQL Comments

Module 2:SQL Data Manipulation

1 Quiz

1 Project

1 Quiz

1 Project

2.1. Querying Data
2.1.1. SELECT Statement
2.1.2. Filtering Data with WHERE Clause
2.1.3. Sorting Data with ORDER BY
2.1.4. Limiting Results with LIMIT
Filtering and Comparison Operators
2.2.1. Comparison Operators (=, <>, <, >, <=, >=)
2.2.2. Logical Operators (AND, OR, NOT)
2.2.3. BETWEEN and IN Operators
2.3. Working with Functions
2.3.1. Aggregate Functions (SUM, AVG, COUNT, MAX,MIN)
2.3.2. String Functions (CONCAT, LENGTH, SUBSTRING)

Module 3:SQL Data Definition

1 Quiz

1 Project

1 Quiz

1 Project

3.1. Creating and Modifying Tables
3.1.1. CREATE TABLE Statement
3.1.2. ALTER TABLE Statement
3.1.3. Dropping Tables with DROP TABLE
3.2. Data Types and Constraints
3.2.1. Numeric Data Types
3.2.2. Character Data Types
3.2.3. Date and Time Data Types
3.2.4. Primary Key and Foreign Key Constraints
3.3.3. Option and Try for Error Handling

Module 4:SQL Data Manipulation and Transactions

1 Quiz

1 Project

1 Quiz

1 Project

4.1.Inserting Data
4.1.1. INSERT INTO Statement
4.1.2. Specifying Values and NULL
4.1.3. INSERT INTO SELECT Statement
4.2. Updating and Deleting Data
4.2.1. UPDATE Statement
4.2.2. DELETE Statement
4.3.Transactions and ACID Properties
4.3.1. Transaction Concepts
4.3.2. COMMIT and ROLLBACK
4.3.3. ACID Properties (Atomicity, Consistency,Isolation,Durability)

Module 5:SQL Joins and Subqueries

1 Quiz

1 Project

1 Quiz

1 Project

5.1. Understanding Joins
5.1.1. INNER JOIN
5.1.2 LEFT JOIN (OUTER JOIN)
5.1.3. RIGHT JOIN (OUTER JOIN)
5.1.4. FULL OUTER JOIN
5.2.Subqueries
5.2.1. Subquery Syntax
5.2.2. Correlated Subqueries

Module 6:SQL Views, Indexes, and Optimization

1 Quiz

1 Project

1 Quiz

1 Project

6.1.Creating and Managing Views
6.1.1. CREATE VIEW Statement- 6.1.2. Updating Views
6.1.3. Dropping Views
6.2.Indexes and Performance Optimization
6.2.1. Index Types (B-tree, Hash, Bitmap)
6.2.2. Indexing Best Practices
6.2.3. Query Optimization Techniques

Module 7:Advanced SQL Concepts

1 Quiz

1 Project

1 Quiz

1 Project

7.1.Stored Procedures and Functions
7.1.1. Creating and Executing Stored Procedures
7.1.2. User-Defined Functions
7.2. Triggers

Module 8:SQL Security and Permissions

1 Quiz

1 Project

1 Quiz

1 Project

8.1. User Authentication and Authorization
8.1.1. User Roles and Privileges
8.1.2. GRANT and REVOKE Statements
8.2.SQL Injection and Prevention

Module 9:SQL Best Practices and Tips

1 Quiz

1 Project

1 Quiz

1 Project

9.1. SQL Coding Best Practices
9.1.1. Naming Conventions
9.2. Performance Tuning Strategies
9.2.1. Query Performance

Module 10:Real-World Applications and Case Studies

1 Quiz

1 Project

1 Quiz

1 Project

10.1. Database Design Case Study
10.1.1. Requirements Analysis
10.2. Practical SQL Projects
10.2.1. Building a Web Application with SQL

Module 11:SQL in Big Data and NoSQL Environments

1 Quiz

1 Project

1 Quiz

1 Project

11.1. SQL in Big Data Ecosystems
11.1.1. SQL in Hadoop (Hive)
11.2. SQL in NoSQL Databases
11.2.1. SQL-like Querying in NoSQL (e.g., MongoDB)

Module 12:SQL and Cloud Databases (Optional)

1 Quiz

1 Project

1 Quiz

1 Project

12.1. Database as a Service (DBaaS)
12.1.1. Cloud Database Providers
12.2. Migrating to the Cloud
12.2.1. Data Migration Strategies

Module 13.Final Project and Course Review

1 Quiz

1 Project

1 Quiz

1 Project

13.1 Capstone Project: Students will work on a complex SQL project to apply their skills.
13.2 Course Review and Exam: A comprehensive review of key SQL concepts and an assessment to evaluate students' knowledge.

Resume building and Mock interviews