| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | SQL Databases Data Analysis Queries Data Aggregation |
About the SQL for Data Analysis Course
The SQL for Data Analysis course is a free, beginner-friendly self-paced program designed to help learners understand how to use SQL (Structured Query Language) to work with and analyze data stored in databases.
The course introduces key concepts such as querying data, filtering, sorting, grouping, and extracting insights from structured datasets. Learners will explore how SQL is widely used in business analytics, reporting, and data-driven decision-making. This course is ideal for beginners who want to start working with databases and data analysis.
Program Highlights
• Free beginner-level SQL course
• Online self-paced learning format
• Simple explanation of database and query concepts
• Covers data retrieval, filtering, and aggregation basics
• Real-world examples from business and analytics
• Suitable for students and non-programmers
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to SQL and Databases
- What is SQL?
- What are Databases and Tables?
- Importance of SQL in Data Analysis
- Applications of SQL in Business and Technology
Module 2: Basic SQL Queries
- SELECT Statements
- Filtering Data using WHERE
- Sorting Results using ORDER BY
- Selecting Specific Columns
Module 3: Working with Data
- Using Conditions and Logical Operators
- Aggregating Data (COUNT, SUM, AVG)
- Grouping Data using GROUP BY
- Filtering Groups using HAVING
Module 4: Data Analysis with SQL
- Joining Multiple Tables
- Combining Data for Analysis
- Understanding Relationships Between Tables
- Extracting Insights from Data
Module 5: Applications and Next Steps
- SQL in Business Reporting and Analytics
- Using SQL in Data Science Workflows
- Career Opportunities in Data and Analytics
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
SQL Databases Data Analysis Queries Data Aggregation
Real-World Applications
- Retrieving and analyzing data from databases
- Generating business reports and insights
- Working with structured data in organizations
- Supporting decision-making using data queries
- Preparing for advanced data science and analytics learning
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals who want to learn SQL for data analysis.
- It is also useful for learners from business, management, engineering, computer science, and non-technical backgrounds interested in data.
Certification
