DP-080 Querying Data with Microsoft Transact-SQL
Accurate data queries are a core competitive advantage in modern organizations. The DP-080 course teaches how to use Transact-SQL effectively in practice – from basic SELECT statements to complex relational joins.
Key topics
- Writing and applying SELECT statements with targeted filter logic.
- Sorting, grouping, and evaluating data with aggregate functions.
- Relational table joins using INNER, OUTER, CROSS, and SELF JOIN.
- Structuring subqueries and applying them in complex query scenarios.
- Fundamentals of views, stored procedures, and query structures.
- Writing performant SQL syntax and common optimization approaches.
Prerequisite
Anyone familiar with tabular data and who has a basic understanding of database structures can get started immediately.
Target group
Analysts, developers, and professionals from BI or data-oriented teams who want to build solid T-SQL skills.
Proficient use of T-SQL accelerates analysis, improves data quality, and lays the groundwork for scalable, data-driven decision-making.
- Understanding and using database schemas
- Getting to know the basic structure of SQL queries
- Writing and verifying SELECT statements
- Using data types correctly
- Recognizing and handling NULL values
- Sorting query results meaningfully
- Narrowing results with TOP and OFFSET
- Shaping output format to requirements
- Removing duplicates with DISTINCT
- Filtering rows with predicates and WHERE
- Overviewing JOIN concepts and syntax variants
- Using INNER JOIN for matching records
- Applying OUTER JOIN for one-sided connections
- Understanding CROSS JOIN for Cartesian products
- Applying SELF JOIN for self-references
- Understanding the structure and use cases of subqueries
- Distinguishing between scalar and multi-valued subqueries
- Correctly applying standalone and correlated subqueries
- Classifying SQL function types and selecting the right one
- Using scalar functions for single-value transformations
- Applying ranking and rowset functions
- Using aggregate functions for sums, averages, and counts
- Structuring and analyzing data with GROUP BY
- Restricting groups with the HAVING clause
- Adding new records with INSERT
- Understanding and using automatically generated values
- Updating existing data with UPDATE
- Removing records selectively with DELETE
- Merging records with MERGE
- Clean, fast queries save time, reduce errors, and deliver reliable foundations for better decisions in everyday work.
- Data-driven decision-making is growing in importance across all industries – structured querying skills are becoming a key competency.
- Complex data sets are evaluated clearly, reports are produced faster and on a more reliable basis.
- The course focuses on real application scenarios and common error patterns – directly transferable to daily work situations.
- Misinterpreted data, inefficient reports, and inaccurate analyses can lead to costly decisions and avoidable errors.
- Particularly well suited for data-related roles that want to work more independently, efficiently, and accurately with data.
- After a short application period, queries can be measurably improved and reports generated more efficiently.
- More reliable queries, better performance, and the ability to transform raw data into interpretable insights.