SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL

🌟 **SQL & Database Design A-Z™: Master MS SQL Server & PostgreSQL for Data Science** 🌟 **Course Headline:** Learn Both SQL Server & PostgreSQL By Doing. Enhance Your Data Analytics Career With Real World Data Science Exercises. --- ### Are you ready to dive into the world of databases? 💻 In the realm of Data Science and Data Analytics, interacting with databases is an inevitable part of your journey. But how do you effectively communicate with these vast repositories of information? The answer is SQL – the backbone of database interactions. --- **What is SQL?** SQL, or Structured Query Language, is the tool that allows you to manage data within a database, from creating new records to querying and updating existing ones. It's a language that's consistently used across different types of databases, making it an invaluable skill for any Data Scientist or Analyst. --- ### Why Choose This Course? 🏆 With countless SQL courses available today, you might wonder what sets this course apart. The secret ingredient is **Database Design**. This course not only teaches you the ins and outs of SQL but also provides a deep dive into the principles of database design. And here's why that matters: --- **Course Highlights:** - **SQL Mastery:** Learn to write efficient queries in PostgreSQL, a versatile SQL database, and understand how these skills can be applied across various SQL databases like MS SQL Server, Oracle, MySQL, etc. - **Database Design Fundamentals:** Gain a comprehensive understanding of OLAP vs. OLTP databases, normalization techniques, and the practical application of these concepts. - **Real-World Experience:** Engage with hands-on exercises that will allow you to apply your newfound knowledge in real-world scenarios, enhancing your ability to derive insights from data. --- ### Course Curriculum: 1. **Introduction to SQL:** Get familiar with the basics of SQL and its importance in managing databases. 2. **PostgreSQL Deep Dive:** Learn how to execute SQL operations within PostgreSQL, a powerful open-source database system. 3. **Database Design Concepts:** Explore the key principles behind designing effective databases, including OLAP and OLTP differences. 4. **Normalization Techniques:** Understand the theory of normalization and practice applying it to real-life database scenarios. 5. **Advanced SQL Queries:** Learn to write complex queries that will help you manipulate and analyze data like a pro. --- ### Why You Shouldn't Miss This Course: 🚀 - **Career Enhancement:** As a Data Scientist or Analyst, your role is not just about crunching numbers but also about understanding the structure behind the data. Mastery of SQL and database design will set you apart from your peers. - **Speed & Efficiency:** Knowledge of database design will help you interact with databases faster and more effectively, leading to quicker insights and better decision-making. - **Versatility:** The skills learned in this course are applicable across various SQL databases, making you a versatile professional in the field of data analytics. --- Join us in this comprehensive journey through SQL and Database Design. Whether you're starting out or looking to sharpen your skills, this course is tailored to elevate your career to new heights. 🎓 **Enroll now and take the first step towards becoming a data virtuoso!** --- **Your Instructors:** Kirill Eremenko & Ilya Moshkov are industry experts with a passion for teaching and a wealth of experience in data science and analytics. They're here to guide you through every step of this learning adventure. We can't wait to welcome you into our community of data enthusiasts and watch as you transform your career with the power of SQL and Database Design. Let's get started! 📈

--- **Overview:** The Global course rating for "Super Data Science by Kirill" stands at a high 4.53, with recent reviews painting a picture of a comprehensive and informative course, particularly commending the instructor Kirill for his engaging teaching style and the course's effectiveness in conveying fundamental database knowledge. **Pros:** - **Engaging Content:** The course is appreciated for its fun and interactive approach to learning, which helps solidify concepts. - **Basics Covered:** It provides a solid foundation for understanding databases and SQL, especially for beginners. - **Dual Focus:** It covers both PostgreSQL and MS SQL Server, giving learners exposure to two major database systems. - **Real-world Applications:** Practical examples using real data sets are highlighted as particularly useful and educational. - **In-depth Explanations:** The course offers detailed explanations of database concepts and their implementation in PostgreSQL and MS SQL Server. - **Versatile Learning:** Some users find the course suitable for a variety of learner levels, from beginners to those looking to refresh their knowledge. - **Improvement in Efficiency and Understanding:** The course is reported to have significantly improved efficiency at work and understanding of fundamentals behind relational databases. - **Useful Q&A Section:** Some users found the Q&A section to be very helpful in resolving issues encountered during the course. **Cons:** - **Sound Issues:** Several reviewers noted low audio volume and inconsistencies, which can be distracting and affect the learning experience. - **Redundancy:** There are complaints about redundant content and duplication of information across lectures for both PostgreSQL and MS SQL Server. - **Sound Recording Quality:** The sound quality in the videos is criticized for being too low, requiring users to adjust their device volume frequently. - **Installation Guidance:** While some appreciated the step-by-step guidance on software installation, others reported that the video content did not resolve their specific issues. - **Unaddressed Issues:** Over the years, some persistent issues, such as audio problems and unclear explanations for certain procedures, have gone unresolved. - **Request for Streamlining:** There is a strong recommendation for the course to be reviewed and refined to remove redundant sections and improve overall content quality. **Recommendations:** - **Technical Glitches:** Address the sound issues by improving audio recording quality and ensuring that volume levels are consistent across videos. - **Content Review:** Review the course content to remove duplicate lectures and combine relevant sections for a more efficient learning experience. - **Course Updates:** Regularly update the course content to address ongoing issues and include additional advanced topics as suggested by some users. **Conclusion:** "Super Data Science by Kirill" is a well-received course with a strong track record, offering learners a deep dive into databases and SQL. Despite its strengths, there are notable issues with sound quality and redundancy that need to be addressed. By refining these aspects, the course could provide an even more enriching experience for its users.