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Certification Program - Analytics

Certified SQL Developer

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Certified Database Developer (SQL)

Difficulty Level

Beginner

Skills students will develop
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.

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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

Average Entry Level Salary
0 pa
Avg. Salary Growth in 2 years
0 pa
Average HIgh End Salaries
0 pa
Global Average Salary
$ 0 pa

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

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

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

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