Advanced SQL: MySQL for Ecommerce Data Analysis
Learn advanced SQL data analysis & business intelligence with SQL + MySQL Workbench, with real-world Ecommerce projects!
4.69 (5821 reviews)

47 209
students
8 hours
content
Nov 2024
last update
$159.99
regular price
What you will learn
Write advanced SQL queries to explore and analyze databases with MySQL Workbench
Learn how to use subqueries and temporary tables to handle complex multi-step data problems
Solve practical hands-on assignments and real-world eCommerce use cases
Analyze data across multiple tables with powerful MySQL JOIN statements
Master unique tips and tools that you won't find anywhere else
Get LIFETIME access to resource files, quizzes, assignments, and expert support
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Our Verdict
Advanced SQL: MySQL for Ecommerce Data Analysis is a solid course for those looking to enhance their data analysis skills with a focus on ecommerce. However, some assignments may be too challenging for newcomers, and the poorly structured lectures can lead to frustration. Despite these shortcomings, the custom-designed SQL relational database provides valuable experience for corporate data analyst and data scientist careers. Overall, this course is recommended for those with some SQL knowledge looking to expand their skills in a practical setting, but may not be suitable for beginners.
What We Liked
- Comprehensive course covering advanced SQL data analysis with a focus on ecommerce projects
- Heavy emphasis on practical exercises that mimic real-world business scenarios
- Custom-designed SQL relational database provides realistic and valuable experience
- In-depth exploration of subqueries, temporary tables, and JOIN statements
Potential Drawbacks
- Some assignments are overly challenging and could benefit from slower pacing
- Lack of clear instructions for certain tasks can lead to confusion
- Poorly structured lectures that jump around in terms of difficulty level and require advanced SQL knowledge upfront
- Limited coverage of advanced SQL concepts, such as CTEs and views
Related Topics
2554557
udemy ID
11/09/2019
course created date
22/11/2019
course indexed date
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