Data Analysis Using SQL
This course is part of Fractal Data Science Professional Certificate.
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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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
This course includes:
4 Hours PreRecorded video
11 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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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
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Fractal Data Science Professional Certificate
Instructor
Diverse, Industry-Focused AI and Data Science Courses
Fractal Analytics, as a leading Coursera partner, provides a comprehensive suite of online courses and professional certificates in English, covering topics such as Generative AI, data science, human behavior, coding, data storytelling, responsible AI, and quantum computing. Their offerings include foundational and advanced programs like "GenAI for Everyone," "Coding with Generative AI," "Data Frameworks for Generative AI," and "Python for Data Science," catering to learners from various backgrounds and industries. These courses are designed for continuous learning, blending instructor-led, eLearning, and blended formats, and aim to equip professionals and organizations with in-demand skills for the evolving digital economy, while also supporting career advancement through recognized certifications and practical, hands-on projects
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