DATA ANALYSIS USING SQL - DSQL

Course Overview

"This course is designed to help you understand how to manipulate and analyze data using SQL (Structured Query Language). SQL is the most widely used language for managing and analyzing data stored in relational databases, and mastering it is a crucial skill for any data analyst, data scientist, or business intelligence professional.

In this course, we will cover the fundamentals of SQL and guide you through essential techniques for data analysis. By the end of this course, you'll be able to write SQL queries to extract, filter, aggregate, and manipulate data to draw meaningful insights from large datasets.

Training Program Details

Training Duration	24 Hours (Flexible Schedules)
Certifications:	Data Analysis using SQL Certification from American Institute of Professional Studies (AIPS), Washington D.C, USA. Data Anlaysis using SQL Certification from Knowledge and Human Development Authority (KHDA) government of Dubai, UAE.
Examinations	American Institute of Professional Studies (AIPS) 2 hours Pen Paper Exam.
Learning Aids	Yes
Course Material	Hard Copy of Study Material
Language of Instruction	English
Instructor Helpline	N/A
Registration Requirements	Passport Copy Curriculum Vitae to assess eligibility 2 passport size photographs Course Fee
Mode of Payment:	Cash / Cheque / Credit Card / Bank Transfer.

Who needs this course?

Project Managers
Operations Manager
Marketing Analysts
Anyone Interested in Data-driven Decision making
Aspiring Data Analysts
Students and recent Graduates

Course Benefits

Improved ability to work with large datasets.

Easier decision-making using data-driven insights.

Enhanced career opportunities in data-intensive roles.

Course Contents

Introduction to Databases and SQL

What is SQL?
Basic Database Concepts
Setting Up the Environment
First Steps in SQL

Retrieving and Manipulating Data

Selecting Specific Columns
Filtering and Sorting Data
Using Functions for Data Analysis
Introduction to Aliases and Subqueries

Joins and Complex Queries

Understanding Joins
Advanced Filtering
Working with Date and Time Data
Subqueries and Nested Queries

Data Aggregation and Analysis

Grouping and Summarizing Data
Advanced Aggregates and Window Functions
Handling NULL Values
Using Case Statements

Real-World Data Analysis Applications

Common Analysis Use Cases
Data Visualization Integration