This course presents an example of applying a database application development methodology to a major real-world project.
Overview
Syllabus
- Basic SQL
- In this section, you will gain knowledge about SQL basics for working with a single table. You will learn the key commands to filter a table in many different ways.
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- SQL Joins
- In this lesson, you will learn how to combine data from multiple tables together.
- SQL Aggregations
- In this lesson, you will learn how to aggregate data using SQL functions like SUM, AVG, and COUNT. Additionally, CASE, HAVING, and DATE functions provide you an incredible problem solving toolkit.
- SQL Subqueries & Temporary Tables
- In this lesson, you will be learning to answer much more complex business questions using nested querying methods - also known as subqueries.
- SQL Data Cleaning
- Cleaning data is an important part of the data analysis process. You will be learning how to perform data cleaning using SQL in this lesson.
- [Advanced] SQL Window Functions
- Compare one row to another without doing any joins using one of the most powerful concepts in SQL data analysis: window functions.
- [Advanced] SQL Advanced JOINs & Performance Tuning
- Learn advanced joins and how to make queries that run quickly across giant datasets. Most of the examples in the lesson involve edge cases, some of which come up in interviews.
- Congratulations!
- Congratulations on your graduation from this program! Please join us in celebrating your accomplishments.
- What’s Next
Taught by
Derek Steer
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GIT's course on Database Management System is the best course there is on the subject. It is an undergraduate-level course on DBMS, but graduates and professionals will benefit from it alike. The course starts out with fundamentals of databases, mo…