Introduction to SQL
Tổng Quan Khóa Học
Learn how to create and query relational databases using SQL in just two hours.
Get an Introduction to SQL in Two Hours
Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the data industry and in increasing demand.
In just two hours, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test.
Learn how Relational Databases are Organized
SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction.
Write Your First SQL Queries
The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results.
Understand the Difference Between PostgreSQL and SQL Server
PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course, you’ll have some hands-on experience in learning SQL and the grounding to start applying it to projects or continue your learning in a more specialized direction.
Những Gì Bạn Sẽ Học
- Comprehensive Introduction: A beginner-friendly overview of SQL and relational databases.
- Hands-On Practice: Interactive exercises to write and execute SQL queries.
- Real-World Applications: Practical examples of using SQL for data analysis.
- Step-by-Step Guidance: Clear instructions and explanations to build confidence in SQL usage.
- Data Analysis Skills: Learn to extract, filter, and summarize data effectively.
- Career Preparation: Foundational skills essential for data-centric careers like data analysis and business intelligence.
Miễn phí

DataCamp
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