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UPDATE and DELETE Statements

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Databases and SQL for Data Science

4.7 (4,997 ratings) | 53K Students Enrolled

Course 5 of 9 in the IBM Data Science Specialization

Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python. No prior knowledge of databases, SQL, Python, or programming is required. Anyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

Skills You'll Learn

Cloud Databases, Python Programming, Ipython, Relational Database Management System (RDBMS), SQL

Reviews

4.7 (4,997 ratings)

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DT

Jun 17, 2019

This is a great review of an important topic. If I knew how much this mattered for the advanced capstone course I would have paid more attention. As it was, I came back here frequently.

LG

Mar 06, 2019

I really liked this course and it is worth it for learning basic SQL queries with Python. I wish we could have more practical exercises but on the whole this was an excellent course.

From the lesson

Week 1 - Introduction to Databases and Basic SQL

In Week 1 you will be introduced to databases. You will create a database instance on the cloud. You will learn some of the basic SQL statements. You will also write and practice basic SQL hands-on on a live database.

CREATE Table Statement2:51

SELECT Statement3:36

COUNT, DISTINCT, LIMIT2:30

INSERT Statement2:36

UPDATE and DELETE Statements3:12

Taught By

Rav Ahuja
AI and Data Science Program Director

Transcript

Hello and welcome to the UPDATE statement and the DELETE statement.

In this video, we will learn about altering and

deleting data in a relational database table.

At the end of this lesson,

you will be able to identify the syntax of the UPDATE statement and

DELETE statement and explain the importance of the WHERE clause in these statements.

After a table is created and populated with data,

the data in a table can be altered with the UPDATE statement.

The UPDATE statement is one of the data manipulation language or DML statements.

DML statements are used to read and modify data.

Based on the author entity example,

we created the table using the entity name

Author and the entity attributes as the columns of the table.

Rows were added to the Author table to populate the table.

Sometime later, you want to alter the data in the table.

To alter or modify the data in the Author table,

we use the UPDATE statement.

The syntax of the UPDATE statement looks like this,

UPDATE [TableName] SET [ColumnName] = [Value] ]> <WHERE [Condition] >.

In the statement, TableName identifies the table.

The ColumnName identifies the column value to be changed,

as specified in the <WHERE [Condition] >.

Let's look at an example.

In this example, you want to update the FIRSTNAME and LASTNAME of

the author with AUTHOR_ID A2 from Rav Ahuja to Lakshmi Katta.

In this example, to see the UPDATE statement in action,

we start by selecting all rows from the author table to see the values.

To change the first name and last name to Lakshmi Katta where the AUTHOR_ID = A2,

enter the UPDATE statement as follows.

UPDATE AUTHOR SET LAST NAME = KATTA,

FIRST NAME = LAKSHMI WHERE AUTHOR_ID = A2.

Now, to see the result of the update,

select all rows again from the Author table and you will see that in row

to the name changed from Rav Ahuja to Lakshmi Katta.

Note that if you do not specify the WHERE clause,

all the rows in the table will be updated.

In this example, without specifying the WHERE clause all rows in

the table would have changed the first and last names to Lakshmi Katta.

Sometime later, there might be a need to remove one or more rows from a table.

The rows are removed with the DELETE statement.

The DELETE statement is one of

the data manipulation language statements used to read and modify data.

The syntax of the DELETE statement looks like this,

DELETE FROM [TABLEName] <WHERE [Condition] >.

The rows to be removed are specified in the WHERE condition.

Based on the author entity example,

we want to delete the rows for AUTHOR_ID A2 and A3.

Let's look at an example.

DELETE FROM AUTHOR WHERE AUTHOR_ID IN ('A2','A3').

Note that if you do not specify the WHERE clause,

all the rows in the table will be removed.

Now you can identify the syntax of the UPDATE statement and

DELETE statement and explain the importance of the WHERE clause in these statements.

Thanks for watching this video.

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