The Ultimate SQL Mastery

Discover the role of DBMS and why SQL Server is widely used in companies.

Learn the different types of databases and when each is used in real systems.

Understand the main categories of SQL commands and what they do.

See why SQL is a top data skill for high-demand jobs and better career growth.

Learn the building blocks of SQL queries so you can retrieve data with ease.

Understand how SQL queries request data from database tables.

Learn how to select data from specific tables using core SQL clauses.

Filter your results to extract exactly the data you need.

Sort data results in ascending or descending order for better analysis.

Learn how to create new database objects such as tables using SQL DDL.

Discover how to modify existing database structures quickly and safely.

Understand how to remove database objects without breaking data systems.

Review and reinforce what you learned about SQL DDL commands.

Learn how to insert new data into tables and manage values efficiently.

Update existing records to keep your database information accurate.

Remove unwanted data safely while maintaining database integrity.

Test your knowledge of SQL DML commands and identify learning gaps.

Filter data using comparison rules to retrieve exactly what you need.

Combine multiple conditions to refine your filtered results.

Expand your query logic to include matches from broader criteria.

Exclude specific values to eliminate unwanted data from results.

Filter numeric ranges to find values within specific boundaries.

Learn how JOINs combine data from different tables to reveal insights.

Understand cases where data retrieval doesn�t require joins.

Connect matching records across tables to build stronger results.

Retrieve all rows from one table even if matching data is missing.

Explore the opposite join behavior for better reporting flexibility.

Learn techniques to merge query results from multiple datasets.

Apply proper syntax and rules to avoid mistakes using SET operators.

Combine multiple result sets while removing duplicate rows.

Merge result sets quickly while including all duplicate values.

Identify rows that exist in one dataset but not another.

Learn how SQL functions transform and analyze text data for insights.

Combine text values to build meaningful strings in your results.

Standardize text casing to improve readability and comparisons.

Clean up messy data by removing unnecessary spaces.

Fix incorrect or outdated text values automatically using SQL.

Understand how date and time values are stored and used in SQL.

Explore powerful built-in functions for working with dates and times.

Download and use scripts to follow along with date exercises.

Extract calendar elements to build flexible time-based queries.

Break down dates into components for advanced filtering and grouping.

Understand NULLs and why they behave differently from other values.

Handle missing values correctly using SQL replacement functions.

Learn how missing values affect totals and averages in SQL.

Avoid math errors caused by NULLs in calculations.

Prevent missing matches when joining tables containing NULLs.

Learn how to transform values conditionally with CASE logic.

Categorize numerical results into clear labels automatically.

Apply correct CASE statement structure to avoid syntax errors.

Convert codes into readable text for user-friendly reporting.

Control how NULL values appear in your results with CASE logic.

Perform advanced aggregations without losing row-level detail.

Compare methods to choose the most powerful analytic approach.

Understand the structure of window functions for clean query writing.

Break data into logical groups for deeper insight and performance analysis.

Control the calculation order to ensure correct analytic results.

Learn how window aggregate functions provide deeper analytical insights.

Count values per row group without losing individual row detail.

Summarize data over partitions to measure performance effectively.

Calculate rolling averages to track continuous trends.

Identify smallest and largest values inside analytical windows.

Learn how ranking functions assign ordered positions to rows.

Assign unique row numbers for clean reference and ordering.

Handle tied values by giving shared ranks in analytics.

Remove rank gaps to maintain clean sequential ranking.

Choose the right ranking method for your analytical scenario.

Learn how window functions shift and compare row values.

Compare current row values with previous or future values.

Track changes across intervals to reveal growth trends.

Analyze repeat users to measure loyalty and behavior.

Retrieve first or latest row values to summarize key events.

Solve advanced business challenges using nested queries.

Learn how subqueries add dynamic logic inside SQL statements.

Understand when subqueries outperform joins and filters.

Explore different types of subqueries and where to apply them.

Use subqueries that return values, lists, or entire datasets.

Write cleaner and more readable SQL using CTE structures.

Learn productivity benefits of replacing subqueries with CTEs.

Understand how SQL optimizes CTE execution at runtime.

Discover different CTE variations for flexible logic control.

Create temporary result sets to simplify complex queries.

Learn how views simplify complex data for end-users.

Understand how data flows across layers in modern systems.

Discover how views provide secure and simplified access to data.

Compare when to use views instead of physical tables.

Centralize logic in views to avoid duplicated business rules.

Understand how tables store structured data in SQL systems.

Learn how CTAS can outperform traditional table creation.

Compare CTAS results with reusable view logic.

Write CTAS scripts to create and populate tables in one step.

Improve speed by creating optimized subsets of data.

Automate database logic with reusable procedures.

Learn structure and execution flow of stored code.

Pass dynamic data into procedures to increase usability.

Execute multiple operations efficiently inside one call.

Store temporary data to build flexible procedures.

Learn why indexes speed up data searching.

Differentiate indexing options for performance tuning.

Understand storage fundamentals before indexing.

Organize table storage physically for fast access.

Speed up frequent lookups using separate index structures.

Split large data for faster queries and maintenance.

Understand partition planning and lifecycle.

Implement partitioning with correct SQL syntax.

Improve speed by targeting only relevant partitions.

Start optimizing queries from day one.

Reduce data scans for faster reads.

Improve predicate performance to narrow results fast.

Speed up join operations and prevent slowdowns.

Tune GROUP BY operations for analytical workloads.

Discover how AI tools assist SQL development.

Compare intelligent assistants for database work.

Select the right AI tool for each SQL task.

Speed up coding using AI-driven suggestions.

Write prompts that deliver accurate SQL results.

Download datasets and assets used in the warehouse build.

Understand different real-world SQL project categories.

Learn why data warehouses power business analytics.

Understand the ETL process that moves and transforms data.

Compare ETL patterns used in enterprise pipelines.

Get files needed for EDA exercises.

Learn what EDA is and why analysts start there.

Download the dataset and reference guide.

Identify attributes vs numeric metrics in analysis.

Explore structure and discover insights inside SQL.

Overview of advanced analytics challenges.

Track metric changes across days, months, years.

Build cumulative measures for growth insights.

Measure how KPIs progress toward targets.

Analyze contribution of each segment to totals.

Final message and best wishes for your SQL journey.