Home »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)
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| 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.
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| Examinations | - American Institute of Professional Studies (AIPS) 2 hours Pen Paper Exam.
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| Learning Aids | |
| Course Material | - Hard Copy of Study Material
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| Language of Instruction | |
| Instructor Helpline | |
| Registration Requirements | - Passport Copy
- Curriculum Vitae to assess eligibility
- 2 passport size photographs
- Course Fee
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| Mode of Payment: | - Cash / Cheque / Credit Card / Bank Transfer.
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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
*Note: The course duration and topics may vary based on specific requirements.
