Short Description
Start your journey with SQL and databases. Solve over 150 exercises and open the door to a career in IT! (DDL + DML
What you’ll learn
- solve over 150 exercises in SQL and databases
- test yourself in DDL (Data Definition Language) and DML (Data Manipulation Language)
- test yourself in creating tables
- test yourself in defining column/table constraints
- test yourself in working with master and foreign keys
- test yourself in inserting, modifying and deleting records
- test yourself in creating views, triggers
- work with documentation and Stack Overflow
- deal with real programming problems
- guaranteed instructor support
This course includes:
- 28 mins on-demand video
- 291 articles
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Requirements
- completed SQL Bootcamp – Hands-On Exercises – SQLite – Part I
- basic knowledge of SQL
- internet access
Description
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RECOMMENDED LEARNING PATH
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- SQL Bootcamp – Hands-On Exercises – SQLite – Part I
- SQL Bootcamp – Hands-On Exercises – SQLite – Part II
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COURSE DESCRIPTION
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SQL Bootcamp – Hands-On Exercises – SQLite – Part II
Welcome to the course SQL Bootcamp – Hands-On Exercises – SQLite – Part II, where you can test your SQL programming skills.
This is the second part of the SQL Bootcamp – Hands-On Exercises series. The exercises in this part are mainly focused on creating DDL and DML queries to the database.
The course is designed for people who have basic knowledge in SQL and it consists of over 150 exercises with solutions.
This is a great test for people who are learning SQL and are looking for new challenges. Exercises are also a good test before the interview.
Knowledge of SQL is one of the most desirable technical skills on the job market. If you’re wondering if it’s worth taking a step towards SQL and databases, don’t hesitate any longer and take the challenge today.
Who this course is for:
- everyone who wants to test knowledge of SQL and databases
- everyone who wants to learn by doing
- web developers
- mobile developers
- data analysts
- data scientists
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