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.