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SQL for Data Analysis

SQL for Data Analysis

Original price was: USD $40.00.Current price is: USD $20.00.

This course introduces learners to the fundamentals of SQL and databases, including how to retrieve, filter, sort, group, and analyze data using basic SQL queries. It also covers SQL applications in business reporting, analytics, data science workflows, and career opportunities in data and technology.

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Category:
Attribute
Detail
Format
Online, self-paced course
Level
Basic / Beginner
Duration
2–3 Weeks
Certification
e-Certification
Fee
Free Course
Tools
SQL, Data Analysis Basics
About the 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.

Prerequisites: No prior SQL or programming knowledge is required. Basic computer knowledge and interest in data and analysis are sufficient.

Frequently Asked Questions
1. Is this SQL for Data Analysis course free?
Yes. This is a free online self-paced course designed for beginners.
2. Do I need coding experience to learn SQL?
No. SQL is beginner-friendly and easy to learn for data analysis.
3. What will I learn in this course?
You will learn how to query data, filter, sort, group, and analyze datasets using SQL.
4. Who can join this course?
Students, beginners, and professionals from any background can join.
5. Will I receive a certificate?
Yes. Learners receive an e-Certification after completing the course.
6. What is SQL used for?
SQL is used to store, retrieve, filter, and analyze data in databases, especially in business analytics and reporting.
7. Is SQL useful for data science?
Yes. SQL is an essential skill in data science for accessing and preparing data before analysis and modeling.
8. What is the duration of this course?
The SQL for Data Analysis course is designed as a 2–3 week online self-paced course.
9. Is this course suitable for non-programmers?
Yes. This course is beginner-friendly and suitable for non-programmers who want to work with data.
10. What makes this SQL course beginner-friendly?
The course explains databases, queries, filtering, grouping, and data analysis concepts in simple language with practical examples.
The SQL for Data Analysis course provides a simple and structured introduction to working with databases and analyzing data using SQL. It is an ideal starting point for learners who want to build skills in data analytics, business intelligence, and data-driven decision-making.

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