SQL Masterclass: Practical SQL for Data Analysis Success
What you will learn
Learn to use SQL professional way, learn new SQL!
Quickly apply ChatGPT AI techniques while learning
Write complex queries using AI Prompt Engineering skills
Learn pgAdmin GUI tool for PostgreSQL server
Learn to write analysis queries for business intelligence
How to JOIN multiple table to get single result set for analysis reports
Create DASH BOARD figures using aggregate functions
Know how to simplify reports like spreadsheets! with huge data sets
Apply Data Science techniques using SQL language
Learn how to secure data by doing backup and restore methods!
Learn What is Generative AI / Gen AI
Participate in Coding Exercise to test your learning skills
Course Gallery
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Comidoc Review
Our Verdict
SQL Masterclass: Practical SQL for Data Analysis Success on Udemy has earned a solid 4.5-star rating with over 8000 subscribers, demonstrating its value in providing learners with crucial data analysis skills and practical experience for success in their careers. From the testimonials, it's clear that the course excels at delivering comprehensive SQL knowledge through real-life case studies and exercises. However, it might not cater to advanced analytics specialists seeking in-depth tutorials, nor does it consistently accommodate learners with lower English proficiency. Overall, this Masterclass serves as an excellent starting point for those beginning their data analysis journey and wanting to gain a solid foundation in SQL while also exploring the integration of AI tools for enhanced learning.
What We Liked
- The course offers a strong foundation in SQL, covering both theory and practical use, making it beneficial for beginners or those looking to improve their skills.
- Real-world examples and interactive exercises maintain engagement throughout the course, leading to proficiency in using SQL for data analysis.
- Learners appreciate the inclusion of advanced topics such as AI Prompt Engineering and ChatGPT AI methods for simplifying complex queries.
- The well-structured curriculum progressively builds upon prior knowledge, allowing users to grasp challenging concepts more easily.
Potential Drawbacks
- A few reviewers mention that the course can be basic in certain areas and may not provide sufficient challenge or depth for advanced users looking for analytics specialization.
- Some learners find the English difficult to understand, which slightly impacts their overall experience.
- While most users appreciate the balance between theory and practice, some feel that the pace could be faster and more intense.
- A minority of students mention the course material could benefit from improved organization for better clarity.