SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL
12h 32m 7s
English
Paid
Are you interested in a career in Data Science or Data Analytics? In that case, inevitably you are going to encounter databases in your work. But how do you interact with databases? The answer is simple: SQL! SQL stands for Structured Query Language and is one of the main tools used to organize databases, input data into them, and extract it upon request. In this course, you will learn how to create queries in a popular variation of SQL called PostgreSQL.
Even if your workplace uses a different variation (e.g., Oracle, SQL Server, or MySQL), the skills you learn in this course are easily transferable. But with many SQL courses available, you might wonder:
What Makes This Course Stand Out?
The unique advantage of this course is that, in addition to learning SQL, you will also master the concepts of Database Design.
Topics Covered
OLAP vs. OLTP Databases (Online Analytics Processing & Online Transaction Processing): You will understand exactly how and why the designs of these two types of databases differ.
Normalization of Databases: We will explain the theory behind normalization and practice how to normalize a database step-by-step.
Why Is Database Design Important?
While not mandatory for Data Scientists or Analysts, understanding database design is a significant added benefit.
This knowledge enables you to interact with databases more effectively and extract insights from your data faster.
Designed with Data Scientists and Analysts in mind, taking this course can accelerate your Data Science career.
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The course "Effective Database Design" will provide you with an action plan, examples, and instructions for creating a well-designed database.
1h 3m5/5
Frequently asked questions
What are the prerequisites for enrolling in this course?
This course does not list any specific prerequisites, making it accessible to beginners. However, a basic understanding of data concepts may be beneficial. The course covers essential SQL installations and tools like PostgreSQL, PgAdmin 4, MS SQL Server, and MS SQL Server Management Studio, which will be thoroughly explained in the initial lessons.
What kind of projects will I work on during the course?
Throughout the course, you will engage in hands-on projects such as investigating consumer complaints, analyzing console games sales, and a challenge involving a vet's clinic. These projects are designed to give practical experience in handling real-world databases using SQL and database design principles.
Who is the target audience for this course?
The course is primarily aimed at aspiring Data Scientists and Data Analysts who wish to gain proficiency in SQL and database design. It is also suitable for anyone interested in learning about OLAP vs. OLTP databases, normalization, and other database management concepts.
How does this course compare to other SQL courses?
Unlike many SQL courses that focus solely on query writing, this course also emphasizes database design. It teaches the theory and practice of database normalization and covers OLAP vs. OLTP databases, providing a more comprehensive understanding of database management.
What database management systems are covered in the course?
The course includes lessons on PostgreSQL and MS SQL Server. It covers the installation and use of PostgreSQL with PgAdmin 4 and MS SQL Server with Management Studio. These lessons provide a solid foundation in using these popular database management systems.
What topics are not covered in this course?
The course does not cover other SQL variations like Oracle or MySQL in detail. While it provides skills transferable to these systems, specific installation or advanced features unique to those platforms are not included.
How much time should I expect to commit to this course?
The course consists of 98 lessons. While the total runtime is not specified, learners should plan to allocate time to watch the lessons, complete exercises, and work on projects. The course structure suggests a commitment suitable for a comprehensive learning experience.