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Learn SQL for Data Analytics

304 students enrolled

This course consists of:

5 Tutorials

This 5-part course consists of tutorials on how to learn SQL for Data Analytics. It's designed to be very hands-on and will walk you through the fundamentals of querying, aggregating, and creating reports. You don't have to have any knowledge of programming to do this course!

The primary objectives of this course are as follows:

Learn how to create, query, and modify databases using commands such as Create, Select, Where, Group, Having, Update, Truncate, etc.
Create relationships between tables using Joins.
Learn how to aggregate data using mathematical functions and create reports using these aggregates.
Lean how to write efficient and dynamic queries using case statements, temporary tables, and subqueries.
Get hands-on practice using SQLFiddle

Why SQL?

This tutorial is created for people who want to answer questions using data. Increasingly, SQL is becoming more and more important when analyzing data since it's used for every aspect from storing to cleaning, accessing, and gaining insights from information already stored in databases. It's easy to understand and can be used to go through vast amounts of data — this is why it's used by the world's largest companies!

Syllabus

Querying Data in SQL

Collect data using standard SQL commands (Create, Update, Truncate, Select, etc.).
Filter data using advanced SQL commands (Where, Group By, Having, Order By, Distinct, Limit).
Obtain data by creating relationships between tables using Joins (Inner, outer, union)
Gather filtered data using SQL Boolean operators (AND and OR) and SQL conditional operators (=, >, <, and BETWEEN).

Querying Databases in SQL Part 1
21 mins
Querying Databases in SQL Part 2
20 mins

Aggregating Data in SQL

Write Boolean statements with the IN SQL conditional operators and null functions (“IS NULL,” “IS NOT NULL,” and “IFNULL”).
Clean data using SQL mathematical functions (ABS, SIGN, MOD, etc.).
Summarize data sets by employing aggregation functions (“Sum,” “Average,” “Count,” etc.).
Creating reports by applying aggregation methods.

Aggregating Data in SQL Part 1
13 mins
Aggregating Data in SQL Part 2
16 mins

Writing Efficient and Dynamic Queries

Use CASE statements to structure data and create new attributes.
Combine multiple subqueries into one using “AS.”
Temporary Tables and Subqueries.
Determining data trends through advanced reporting.

Writing Efficient and Dynamic Queries
31 mins

Start this course

Querying Databases in SQL Part 1

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Frequently Asked Questions

What does it cost?

Every tutorial on Commonlounge is available for free, and will always be. We only ask you to come back and contribute and make Commonlounge better for everyone once you are an expert. We offer premium content like quizzes, hands-on projects and certificate of completion as part of our Pro Plan. We also offer one-on-one mentorship and feedback on real-world projects from industry-experts as part of our Plus Plan.

When can I start?

Right now. Enroll in this course and follow it at your own pace. You can also set a reminder above to send the next item to your inbox every week.