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Reporting in SQL

Intermédiaire

Updated 01/2025

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

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SQLRapports4 heures15 vidéos54 exercices4,450 XP33,106Déclaration de réalisation

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Description du cours

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.

Conditions préalables

Data Manipulation in SQL

1

Exploring the Olympics Dataset

Commencer le chapitre

Identifying the base report

Building the base report

Athletes vs events by sport

The Olympics dataset

Planning queries with an E:R diagram

Age of oldest athlete by region

Number of events in each sport

Exploring our data

Exploring summer_games

Validating our query

Report 1: Most decorated summer athletes

2

Creating Reports

Commencer le chapitre

Planning the query

Planning the SELECT statement

Planning the filter

Combining tables

JOIN then UNION query

UNION then JOIN query

Creating custom fields

CASE statement refresher

BMI bucket by sport

Troubleshooting CASE statements

Filtering and finishing touches

Filtering with a JOIN

Filtering with a subquery

Report 2: Top athletes in nobel-prized countries

3

Cleaning & Validation

Commencer le chapitre

Converting data types

Identifying data types

Interpreting error messages

Using date functions on strings

Cleaning strings

String functions

Replacing and removing substrings

Fixing incorrect groupings

Dealing with nulls

Filtering out nulls

Fixing calculations with coalesce

Report duplication

Identifying duplication

Fixing duplication through a JOIN

Report 3: Countries with high medal rates

4

Complex Calculations

Commencer le chapitre

Building complex calculations

Testing out window functions

Average total country medals by region

Most decorated athlete per region

Comparing groups

Volume vs efficiency metrics

Percent of gdp per country

GDP per capita performance index

Comparing dates

Month-over-month comparison

Week-over-week comparison

Report 4: Tallest athletes and % GDP by region

Course summary

Reporting in SQL

Cours
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