# Reporting in SQL
This is a DataCamp course: Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.
## Course Details
- **Duration:** ~4h
- **Level:** Intermediate
- **Instructor:** Tyler Pernes
- **Students:** ~19,440,000 learners
- **Subjects:** SQL, Reporting, Data Science and Analytics
- **Content brand:** DataCamp
- **Practice:** Hands-on practice included
- **Prerequisites:** Data Manipulation in SQL
## Learning Outcomes
- SQL
- Reporting
- Data Science and Analytics
- Reporting in SQL
## Traditional Course Outline
1. Exploring the Olympics Dataset - Before you can start building out reports to answer specific questions, you should get familiar with the data. In this chapter, you will learn how to use E:R diagrams and data exploration techniques to get a solid understanding of the data to better answer business-related questions.
2. Creating Reports - Queries can get large, fast. It's important to take a logical approach when building more complicated queries. In this chapter, you will take a step-by-step approach to plan and build a complex query that requires you to combine tables in multiple ways and create different types of fields.
3. Cleaning & Validation - Although it would be nice, data in the real-world is rarely stored in an ideal way. Simply put: data can get messy. In chapter 3, you will learn how to deal with this messy data by fixing data type issues, cleaning messy strings, handling nulls, and removing duplication.
4. Complex Calculations - The value of reporting really shows when presenting not-so-obvious insights through complex calculations. In this chapter, you will learn how to build more complicated fields by leveraging window functions and layered calculations. You will gain hands-on experience building two advanced calculations in particular: the percent of a total calculation and the performance index calculation.
## Resources and Related Learning
**Resources:** Course Database Entity Relationship Diagram (dataset), Course Database Creation Code (dataset), Athletes (dataset), Countries (dataset), Country Stats (dataset), Summer Games (dataset), Winter Games (dataset)
**Related tracks:** SQL for Business Analysts
## Attribution & Usage Guidelines
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Course
Reporting in SQL
IntermediateSkill Level
Updated 11/2025SQLReporting4 hr15 videos54 Exercises4,450 XP38,358Statement of Accomplishment
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Master SQL Reporting
Build clear and valuable SQL reports and dashboards, and hone your skills in data cleaning and validation.In this course, you will apply all the SQL concepts and functions you have learned in previous courses to build your very own dashboard. You will work on an Olympics database to learn about data exploration, data manipulation, data cleaning and validation, and performing complex calculations.
The first chapter aims to get you familiar with the dataset you’ll use, covering some of the essentials you'll need to explore the data properly. Here you will learn how to use ER diagrams and data exploration techniques to get a solid understanding of the data.
Practice Building SQL Reports Using Real Datasets
Next, you’ll learn to build more complex SQL queries to help you explore the data in more detail. The step-by-step approach helps you understand why complex queries require more thought and how they can help you build reports.Once you get a hang of reporting in SQL, you will learn how to clean and validate SQL data, ensuring our reports are accurate and interpretable.
Develop Your SQL Database Skills
Learn to perform complex calculations using window functions and layered calculations in the final chapter. You will gain hands-on experience building two advanced calculations in particular: the percent of a total calculation and the performance index calculation.This SQL course is perfect for anyone who will be commonly pulling data from databases and is a great complement for those who use R or Python for data science. This course is part of the SQL for Business Analysts Track and is essential for those who are planning to complete a Data Science or Data Analysis certification with DataCamp.
Prerequisites
Data Manipulation in SQL1
Exploring the Olympics Dataset
Before you can start building out reports to answer specific questions, you should get familiar with the data. In this chapter, you will learn how to use E:R diagrams and data exploration techniques to get a solid understanding of the data to better answer business-related questions.
2
Creating Reports
Queries can get large, fast. It's important to take a logical approach when building more complicated queries. In this chapter, you will take a step-by-step approach to plan and build a complex query that requires you to combine tables in multiple ways and create different types of fields.
3
Cleaning & Validation
Although it would be nice, data in the real-world is rarely stored in an ideal way. Simply put: data can get messy. In chapter 3, you will learn how to deal with this messy data by fixing data type issues, cleaning messy strings, handling nulls, and removing duplication.
4
Complex Calculations
The value of reporting really shows when presenting not-so-obvious insights through complex calculations. In this chapter, you will learn how to build more complicated fields by leveraging window functions and layered calculations. You will gain hands-on experience building two advanced calculations in particular: the percent of a total calculation and the performance index calculation.
Reporting in SQL
Course Complete
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FAQs
What is a SQL database?
SQL database is essentially another way of saying Relational Database Management Systems (RDBMS). This synonymous relationship is based on the high compatibility of SQL and relational databases.
What is SQL data reporting?
SQL data reporting is the process of data exploration, cleaning and validation, and performing complex calculations on relational databases using SQL. Given its ability to handle any size of relational databases, many companies such as Nike, Spotify, Microsoft, and Google, strongly depend on SQL to give business insights.
Is SQL easy to learn?
Coding with SQL is straightforward and, thus, easy to learn. This is mainly due to its intuitive and English-based nature. Moreover, if you are already familiar with a programming language such as R or Python, or even Excel, adapting to SQL will be a breeze in your learning journey.
Who uses SQL?
SQL’s ability to deal with complex relational databases makes it reliable for many different types of users. Whether it be for data-heavy roles or for someone interested in gaining insights into a small database, SQL is suitable for anyone. Big tech companies such as Microsoft, Dell, and Google depend on SQL to manage their massive and complex databases. Aside from tech companies, Nike and Spotify also use SQL to explore their relational databases.
What types of jobs use SQL?
With its powerful capabilities and compatibility, more and more companies have become more dependent on SQL. This means that there is also a growing demand for SQL-based careers. Among them are: database administrators, data analysts, data scientists, web designers, software engineers, developers, financial analysts, researchers, and more. SQL is often found in the back end of popular software and technologies, which expands the applications and possible careers even further.
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