Certification Program - Analytics
Certified SQL Developer
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Certified Database Developer (SQL)
Difficulty Level
Beginner
Skills students will develop
- Database Management
- SQL queries
- MIS Management
- Flexible learning
- Adaptive-Pace Lectures
- Free placement support portal
- 1:1 Career Guidance
- Support till you find a Job
About the Course
The SQL training program is designed to provide participants with a comprehensive understanding of SQL and its practical applications in working with relational databases. The course covers fundamental concepts of databases, including tables, relationships, and data organisation. Participants will learn SQL syntax, query construction, and techniques for retrieving, manipulating, and analysing data. The course also emphasises best practices for database design and optimisation, ensuring data integrity, and writing efficient SQL queries. Through hands-on exercises and real-world examples, participants will gain practical experience in working with SQL, enabling them to proficiently interact with databases and effectively manage data.
- Type :
- Duration :
- Award :
- Language :
- Level :
- Career Guidance :
- Placement Portal :
- Support :
- Online
- 30 hours (2 months)
- Certification
- English
- Beginner
- One-to-One
- Yes (Free)
- 360° support until placed
This course is a part of the Analytics Masters Program in both AI Computing & IT Project Management
Program Objective
The objective of the training program is to equip participants with the essential knowledge and skills required to work with relational databases using SQL. The program aims to provide a comprehensive understanding of SQL syntax, query construction, data retrieval, data manipulation, and basic database design principles. Participants will learn to write efficient SQL queries, perform data analysis, and ensure data integrity. Through hands-on exercises and practical examples, the program will empower participants to confidently navigate and utilize SQL to effectively manage and manipulate data in various database environments.
Career prospects of Database developers
JOB ROLES POST LEARNING DATABASE
SQL
Developer
SQL Database
Administrator
Database
Tester
SQL Data
Analyst
Business/FInancial
Data Analyst
SQL Data
Scientist
Data
Modeler
Database
Architect
PROGRAM STRUCTURE
- Module 1
- Module 2
- Module 3
- Module 4
- Module 5
- Module 6
- Module 7
- Module 8
- Module 9
Introduction to Database Management System
- Database-System Applications
- Purpose of Database Systems
- View of Data
- Database Languages
- Relational Databases
- Database Design
- Data Storage and Querying
- Transaction Management
- Database Architecture
- Data Mining and Information Retrieval
Introduction to Relational Model
- Structure of Relational Databases
- Database Schema
- Keys
- Schema Diagrams
- Relational Query Languages
- Relational Operations
Introduction To SQL
- What is SQL?
- Why SQL?
- What are relational databases?
- SQL command group
- MS SQL Server installation
- Exercises
SQL Data Types & Operators
- SQL Data Types
- Filtering Data
- Arithmetic Operators
- Comparison operators
- Logical Operators
- Exercises
Useful Operations in SQL
- Distinct Operation
- Top N Operation
- Sorting results
- Combine results using Union
- Null comparison
- Alias
- Exercises
Aggregating Data in SQL
- Aggregate functions
- Group By clause
- Having clause
- Over clause
Writing Sub-Queries in SQL
- What are sub-queries?
- Sub-query rules
- Writing sub-queries
- Exercises
Common function in SQL
- Ranking functions
- Date & time functions
- Logical functions
- String functions
- Conversion functions
- Mathematical functions
- Exercises
Analytic Functions in SQL
- What are analytic functions?
- Various analytic functions
- SQL syntax for analytic functions
- Exercises
- Module 10
- Module 11
- Module 12
- Module 13
- Module 14
- Module 15
- Module 16
- Module 17
Writing DML Statements
- What are DML Statements?
- Insert statement
- Update statement
- Delete statement
- Exercises
Writing DDL Statements
- What are DDL Statements?
- Create statement
- Alter statement
- Drop statement
- Exercises
Using Constraints in SQL
- What are constraints
- Not Null Constraint
- Unique constraint
- Primary key constraint
- Foreign key constraint
- Check constraint
- Default Constraint
- Exercises
SQL Joins
- What are joins
- Cartesian Join
- Inner Join
- Left & Right Join
- Full Join
- Self Join
Views in SQL
- What are views?
- Create View
- Drop view
- Update view
Introduction to Data Warehouse
- Decision-Support Systems
- Data Warehousing
- Components of a Data Warehouse
- Data Warehouse Schemas
Introduction to Data Mining
- Classification
- Decision-Tree Classifiers
- Support Vector Machines
- Regression
- Association Rules
- Other Types of Associations
- Clustering
- Other Forms of Data Mining
- Data Visualisation
Exercises
Case Studies
Problem Solving