Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.20 GB | Duration: 38 lectures • 3h 8m
Learn SQL statements that every software developer or data analyst needs for designing and developing databases
What you’ll learn
Understand the core SQL syntax and concepts
Write complex SQL queries across multiple tables
Create your own database or interact with existing databases
Query and filter (simple and complex) data
You will know how to write SQL statements to CREATE, Retrieve, Update, and Delete data.
Requirements
No previous programming language experience required, but it won’t hurt ?
All you need is a working computer for this course; PC, Mac, and Linux users are all welcome.
No Database, SQL, or MySQL experience needed! Complete beginners to MySQL are welcome.
Description
If you want to learn how to gain insights from data but are too intimidated by databases to know where to start, then this course is for you. This course is a gentle but comprehensive introduction to MySQL, one of the most highly in-demand skills in the business sector today.
Whether you work in sales or marketing, you run your own company, or you want to build your own apps, mastering MySQL is crucial to answering complex business problems and questions using insights from data. SQL for Beginners introduces you to a solid foundation in databases in a way that’s both informative and engaging. Yes, that’s right, it’s possible to make an engaging course on databases.
This course is also chock full of exercises, challenges, projects, and opportunities for you to practice what you’re learning. Apply what you’re learning to real-world challenges .
SQL is THE most important query language you can learn!
It’s used by many popular relational database management systems like MySQL. But it’s also used by data analysis and big data frameworks and tools like Apache Spark.
Hence knowing SQL opens up an endless amount of opportunities and jobs – no matter if you’re going to work with relational databases or if you’re becoming a data scientist, knowing SQL will be key!
This course teaches you SQL from the ground up and in extremely high detail!
SQL is a standardized language and therefore learning SQL will help you apply it in all kinds of contexts. Nonetheless, different database systems also support different aspects of SQL or bring their own variations of the SQL language. Therefore, this course dives into SQL by exploring all key features at the example of one of the most popular database systems: MySQL. All query and command examples are shown for this database system, ensuring that you feel comfortable working with SQL in this environment!
This course will enable you to write your own (simple or complex) SQL queries, create basic or advanced databases and table structures and work with data of different shape and complexity!
In detail, you will learn
What exactly SQL is and how the core syntax looks like
How to write SQL commands
How to install MySQL
How to create and structure database tables
Which data types you may use and when to use which data type
How to perform CRUD operations: Create, Read, Update & Delete Data
How to insert data into tables
How to query and filter data
Why you should split data across multiple tables (and how to do that)
How to join (merge) data into combined result sets
How to write basic and more complex queries
How to aggregate and group data
How to use built-in database functions to work with numbers, text or dates
How to optimize databases with indexes
And much, much more!
Explore the full course curriculum to get a thorough overview of the course content and watch the free preview section to learn how this course will help you!
This course also comes with a 30 day refund period, so that you can try it risk-free ?
We’d love to welcome you on board of this course and explore SQL together with you!
So let’s do this! Enroll today and start learning SQL!
Who this course is for
Beginner SQL developers or data scientists
(Web) developers who want to incorporate SQL into their applications
Data analysts and scientists
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