SQL-Queries.AD2
SQL Queries
Master SQL queries to easily extract, manage, and analyze data to increase your efficiency in database tasks.
- Practice in 42 Hands-On Labs — nothing to install
- 13 Interactive Lessons and 56 topics mapped to the official exam objectives
- 274 Practice Test Questions and 4 Full Length Tests
Intermediate Self-paced · 1 year access
42 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
13Interactive Lessons
56Topics
42LiveLab
274Practice Test Questions
111Flashcards
111Glossary of terms
01 / Skills you'll get
What you will be able to do
This SQL queries course will help you efficiently work with databases by teaching you how to write SQL queries. It covers everything from basic tasks like connecting to a database, running simple queries, and saving them, to more advanced topics like performing conditional searches, working with functions, and retrieving data from multiple tables. You’ll learn how to manipulate data, modify table structures, and work with views and indexes. By the end, you’ll have the skills to manage transactions, export query results, and perform advanced querying techniques.
- Connect to SQL databases and execute simple queries for efficient data retrieval
- Save and modify queries to streamline future database tasks
- Perform conditional searches to find specific data with ease
- Utilize functions to calculate dates, aggregate data, and manipulate strings
- Organize data by sorting, ranking, grouping, and filtering for better clarity
- Join and compare data from different sources to conduct in-depth analysis
- Export query results in various formats, including text and XML files
- Implement subqueries to perform advanced data searches and comparisons
- Insert, modify, and delete data to keep databases up-to-date
- Create and modify table structures, including constraints and backing up tables
- Work with views to simplify and organize complex queries
- Index data for faster query performance
- Manage transactions to ensure data integrity during database operations
Course Highlights
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13 Structured Lessons Comprehensive coverage of core course objectives
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42 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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274 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
13 Interactive Lessons · 56 topics01 Executing a Simple Query 5 topics · 2 LiveLab +
- TOPIC A: Connect to the SQL Database
- TOPIC B: Query a Database
- TOPIC C: Save a Query
- TOPIC D: Modify and Execute a Saved Query
- Summary
2 LiveLab in this lesson — see the labs panel →
02 Performing a Conditional Search 4 topics · 4 LiveLab +
- TOPIC A: Search Using One or More Conditions
- TOPIC B: Search for a Range of Values and NULL Values
- TOPIC C: Search Data Based on Patterns
- Summary
4 LiveLab in this lesson — see the labs panel →
03 Working with Functions 4 topics · 3 LiveLab +
- TOPIC A: Perform Date Calculations
- TOPIC B: Calculate Data Using Aggregate Functions
- TOPIC C: Manipulate String Values
- Summary
3 LiveLab in this lesson — see the labs panel →
04 Organizing Data 7 topics · 6 LiveLab +
- TOPIC A: Sort Data
- TOPIC B: Rank Data
- TOPIC C: Group Data
- TOPIC D: Filter Grouped Data
- TOPIC E: Summarize Grouped Data
- TOPIC F: Use PIVOT and UNPIVOT Operators
- Summary
6 LiveLab in this lesson — see the labs panel →
05 Retrieving Data from Multiple Tables 4 topics · 3 LiveLab +
- TOPIC A: Combine the Results of Two Queries
- TOPIC B: Compare the Results of Two Queries
- TOPIC C: Retrieve Data by Joining Tables
- Summary
3 LiveLab in this lesson — see the labs panel →
06 Exporting Query Results 3 topics · 2 LiveLab +
- TOPIC A: Generate a Text File
- TOPIC B: Generate an XML File
- Summary
2 LiveLab in this lesson — see the labs panel →
07 Using Subqueries to Perform Advanced Querying 7 topics · 6 LiveLab +
- TOPIC A: Search Based on Unknown Values
- TOPIC B: Compare a Value with Unknown Values
- TOPIC C: Search Based on the Existence of Records
- TOPIC D: Generate Output Using Correlated Subqueries
- TOPIC E: Filter Grouped Data Within Subqueries
- TOPIC F: Perform Multiple-Level Subqueries
- Summary
6 LiveLab in this lesson — see the labs panel →
08 Manipulating Table Data 3 topics · 1 LiveLab +
- TOPIC A: Insert Data
- TOPIC B: Modify and Delete Data
- Summary
1 LiveLab in this lesson — see the labs panel →
09 Manipulating the Table Structure 6 topics · 7 LiveLab +
- TOPIC A: Create a Table
- TOPIC B: Create a Table with Constraints
- TOPIC C: Modify a Table's Structure
- TOPIC D: Back Up Tables
- TOPIC E: Delete Tables
- Summary
7 LiveLab in this lesson — see the labs panel →
10 Working with Views 5 topics · 5 LiveLab +
- TOPIC A: Create a View
- TOPIC B: Manipulate Data in Views
- TOPIC C: Create Aliases
- TOPIC D: Modify and Delete Views
- Summary
5 LiveLab in this lesson — see the labs panel →
11 Indexing Data 3 topics · 2 LiveLab +
- TOPIC A: Create Indexes
- TOPIC B: Drop Indexes
- Summary
2 LiveLab in this lesson — see the labs panel →
12 Managing Transactions 3 topics · 1 LiveLab +
- TOPIC A: Create Transactions
- TOPIC B: Commit Transactions
- Summary
1 LiveLab in this lesson — see the labs panel →
13 Appendix A 2 topics +
- The FullerAckerman Database
- Schema
Hands-On Labs Our edge
42 LiveLabs- Connecting to a Database
- Saving a Query and Modifying and Executing the Saved Query
- Comparing Column Values in a Table
- Searching Using Simple and Multiple Conditions
- Searching for a Range of Values and NULL Values
- Retrieving Data Based on Patterns
- Performing Date Calculations
- Using Aggregate Functions
- Manipulating String Values in a Table
- Sorting Data in a Table
- Ranking Data in a Table
- Grouping Data in a Table
- Filtering Grouped Data in a Table
- Summarizing Grouped Data
- Using the PIVOT and UNPIVOT Operators
- Combining the Results of Two Queries
- Comparing the Results of Two Queries
- Retrieving Data by Joining Tables
- Saving the Query Results in the CSV Format
- Generating an XML File
- Searching for Records Based on Unknown Values
- Searching for Records by Comparing Them with Unknown Values
- Searching for Records Based on Their Existence in Another Table
- Generating Output Using Correlated Subqueries
- Filtering Grouped Data Within a Subquery
- Generating Output Using Nested Subqueries
- Inserting, Modifying, and Deleting Data
- Creating a Table
- Creating a Table with Constraints
- Adding and Dropping Columns in a Table
- Adding and Dropping Constraints in a Table
- Modifying the Column Definition in a Table
- Backing Up a Table
- Deleting a Table
- Creating a View
- Creating Views with Schema Binding
- Manipulating Data in Views
- Creating Aliases
- Modifying and Deleting Views
- Creating Indexes
- Dropping Indexes
- Creating and Committing Transactions
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
Do I need any prior experience with SQL or databases? +
No prior experience is required. This course is intermediate-level-friendly and will guide you step-by-step through the basics of SQL queries and database interactions.
Will I learn how to create and manage databases in this course? +
Yes, you will learn how to create and manage tables, modify table structures, and perform essential database management tasks like inserting, updating, and deleting data.
Can I take this course if I don’t have any programming background? +
Absolutely! The course is designed for intermediate-level learners and no programming language is needed. You’ll learn everything from scratch with clear, easy-to-follow instructions.
What types of databases will I learn to query? +
You will primarily learn to query relational databases, which are the most common type used in industries today. SQL is widely used and applicable to databases like MySQL, SQL Server, and Oracle.
How do SQL queries differ from other data-querying languages?+
SQL is the standard language for managing and querying databases. Unlike some other data querying languages, SQL is specifically designed for structured data and is known for its simplicity and wide industry adoption.
Learn SQL Queries
Gain the skills to write powerful SQL queries that make managing and analyzing data fast and efficient.
- 1 year of full access
- 42 LiveLab included
- Certificate of completion