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Data Analysis Using SQL

Master data analysis through SQL queries, from basic data extraction to complex multi-table analysis

Master data analysis through SQL queries, from basic data extraction to complex multi-table analysis

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Fractal Data Science Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Data Analysis Using SQL

This course includes

18 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Extract and analyze data using SQL queries

  • Manage and manipulate large datasets effectively

  • Create and modify database structures

  • Perform complex multi-table analysis

  • Implement CRUD operations in databases

Skills you'll gain

SQL
Data Analysis
MySQL Workbench
Data Manipulation
Relational Databases
Query Optimization
Database Management

This course includes:

4 Hours PreRecorded video

11 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course covers SQL fundamentals through advanced data analysis techniques. Students learn to write efficient queries, manage databases, and analyze complex datasets. The curriculum includes hands-on practice with real-world business scenarios, from basic data extraction to advanced multi-table analysis.

Introduction to Data Analysis using SQL

Module 1 · 4 Hours to complete

Data Analysis with SQL on a Single Table

Module 2 · 3 Hours to complete

Advanced functions on Single Tables in SQL

Module 3 · 3 Hours to complete

Analyzing Multiple Tables in SQL

Module 4 · 3 Hours to complete

CRUD Operations in SQL

Module 5 · 4 Hours to complete

Fee Structure

Instructor

Analytics Vidhya
Analytics Vidhya

5,029 Students

4 Courses

Leading Data Science Education Platform Empowering Future Analytics Professionals

Analytics Vidhya, a subsidiary of Fractal Analytics, has established itself as a premier educational platform specializing in data science and machine learning education. The platform offers a comprehensive 28-week Data Science Immersive bootcamp with over 500 hours of live online instruction, alongside four core professional courses: Advanced Machine Learning Algorithms, Data Analysis Using SQL, Foundations of Machine Learning, and Insights of Power BI. The curriculum is designed to accommodate both beginners and professionals, with classes scheduled during weeknights and weekends to suit working professionals. Students receive hands-on experience through more than 20 industry projects, covering essential topics from Python programming and SQL to advanced concepts in machine learning and deep learning. The platform maintains a strong reputation with a 4.4/5 rating from student reviews, offering a 100% job placement guarantee and potential scholarships up to INR 20,000. The program's effectiveness is enhanced by its partnership with Fractal Analytics, a multinational artificial intelligence company, ensuring that the curriculum remains aligned with industry needs and current technological trends

Data Analysis Using SQL

This course includes

18 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.