
Master writing and running SQL queries with PostgreSQL and VS Code, starting with SELECT all from customers and then choosing id, customer, and sales to see column order.
Use aliasing to clarify column names in SQL, renaming fields with as or a space. Change ID to customer ID and use double quotes for spaces, capitalization, keeping data intact.
Filter rows in SQL with the where clause to retrieve only records that meet a condition, such as sales greater than 1000, using text and numeric comparisons.
Explore SQL comparison operators in the where clause, including not equal, greater than, greater than or equal, and equal, with examples filtering customers not from the US.
Learn to combine multiple conditions in SQL queries using and and or, applying the where clause to filter by country and sales, demonstrating how both or either condition affects results.
Explore the not operator in sql to reverse conditions and filter results, using examples like country not from the US and not greater than a thousand.
Apply the between range operator to filter SQL results by a lower and upper bound, including endpoints; compare with and conditions to include 1,000 to 1,200.
Use the membership operator to filter by a set of values, replacing long or conditions. Applies to string and numeric columns like country in ('US','Canada','France') and sales in (600,700,1200).
Learn how the where clause tests conditions using operators, and how the search operator (like) enables partial matches, including begins with, ends with, and middle patterns.
Learn how to use the order by clause to sort results by sales from highest to lowest, including the default ascending order and multi-level ordering for numeric and text fields.
Learn how to use group by to calculate total sales by country, applying sum and other aggregations, and handling aliases and grouping rules.
Explore differences between where and having in sql: where filters rows before aggregation, having filters after group by, enabling conditions like total sales > 1500 and individual sales > 500.
This course is a practical, beginner‑friendly introduction to essential SQL querying skills that every data analyst and business professional needs. You will start from the absolute basics of retrieving data with SELECT, then progressively learn how to filter, sort, and summarize information using WHERE, ORDER BY, GROUP BY, HAVING, and LIMIT. Instead of abstract theory, the lessons use a realistic sample database with tables like customers and orders, so you can immediately see how SQL answers real business questions.
Each concept is explained clearly, then demonstrated with step‑by‑step examples that build on each other. You will type and run queries yourself, observe how the results change when you add new clauses, and complete small practice tasks to reinforce your understanding. By the end of the course, you will be able to write queries that select specific columns, apply conditions to filter rows, sort results in useful ways, and aggregate data into reporting‑style summaries such as total sales per customer or number of orders per country. You will also understand the difference between row‑level filtering with WHERE and group‑level filtering with HAVING, which is critical for correct reporting.
This course is ideal for aspiring data analysts, business analysts, junior developers, university students, and self‑learners who want a solid SQL foundation before moving on to joins and more advanced topics.
Main topics you will cover
Basic SELECT and FROM syntax to read data from tables.
Choosing specific columns and avoiding SELECT *.
Filtering rows using WHERE with comparison operators and logical operators.
Sorting query results using ORDER BY (ascending and descending).
Limiting output with LIMIT or TOP to get “Top N” records.
Using aggregate functions (COUNT, SUM, AVG, MIN, MAX) for summaries.
Grouping data with GROUP BY to create report‑style outputs.
Filtering aggregated results correctly using the HAVING clause.