RiseUpp Logo
Educator Logo

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.

4.5

(27 ratings)

2,725 already enrolled

Instructors:

English

Powered by

Provider Logo
Data Analysis Using SQL

This course includes

15 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

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Provided by

Certificate

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.

icon-0icon-1icon-2icon-3icon-4

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

Analytics Vidhya
Analytics Vidhya

4.8 rating

14 Reviews

14,063 Students

4 Courses

Data Science and AI Education Leade

Analytics Vidhya, partnered with Fractal Analytics, offers professional training in advanced machine learning algorithms, SQL data analysis, and business intelligence tools like Power BI through Coursera. Their courses emphasize hands-on projects, practical skills such as regularization, ensemble learning, hyperparameter tuning, and model selection, preparing learners for real-world data science challenges. Through expert instruction and comprehensive modules, Analytics Vidhya supports continuous upskilling in AI, machine learning, and data analytics, empowering professionals to excel in dynamic tech environments.

Data Analysis Using SQL

This course includes

15 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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.