SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL
12h 32m 7s
English
Paid
SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL is a 98-lesson 12 hours 32 minutes self-paced course by Udemy. Are you interested in a career in Data Science or Data Analytics?
Course facts
Lessons
98
Duration
12 hours 32 minutes
Level
All levels
Language
English
Updated
Instructor
Udemy
Price
Premium
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.
Who teaches SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL? Udemy
Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.
Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.
What lessons are included in SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL?
This is a demo lesson (10:00 remaining)
You can watch up to 10 minutes for free. Subscribe to unlock all 98 lessons in this course and access 10,000+ hours of premium content across all courses.
Unlock the potential of modern data platforms with Apache Iceberg, which masterfully combines the flexibility of data lakes with the reliability of data.
Welcome to the most complete course on learning Data Science and Machine Learning on the internet! After teaching over 2 million students I've worked for over a
Google Cloud Platform (GCP) is one of the most popular cloud platforms in the world, providing an extensive set of tools and services for building, managing.
PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning. Since its release, PyTorch has completely changed the landsc
Master semantic search with our course on generative AI. Learn to build a complete pipeline using FastAPI, qdrant, and Streamlit for advanced data processing
Nowadays, you may have heard of many keywords like Embedded AI /Embedded ML /Edge AI, the meaning behind them is the same, I.e. To make an AI algorithm or model
Nest.js is an incredible backend framework that allows us to build scaleable Nodejs backends with very little complexity. A Microservice architecture is a popul
Brand new HTML & CSS course, just released in February 2023 Check out the promo video to see the beautiful, responsive projects we build in this course!
React: The Complete Guide by Maximilian Schwarzmüller — original 2022 edition covering React hooks, Redux, Context API, Next.js basics.
47h 42m5/5
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.
