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Free SQL for Data Science Course

SQL for Data Science

Enroll in our free course on SQL for Data Science and learn techniques to organize and manage huge datasets for data science purposes. Get hands-on experience to work with python for SQL queries on Data Science projects.

4.51
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Ratings

Intermediate

Level

4.5 Hrs

Learning hours

133.1K+
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Skills you’ll Learn

Data Analysis
SQL
SQL with Python

About this Course

This course will introduce you to prominent SQL operations to perform Data Science tasks, with a few demonstrated examples. The course begins with discussing clauses in SQL and continues with other statements such as GROUP BY, ALIAS, JOINS and their types, i.e., INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, and SELF JOIN. You will also learn to work with subqueries, their types, and execution, after which you shall understand Python concepts with SQL and its popularity. The course comprehends a guide to Python installation. The course also includes assessments to evaluate your gains. Complete the course for free and avail your certificate. We allude you to the attached materials for reference. 

After this free, self-paced, beginner's guide to SQL for Data Science, you can enroll in PG Programme in Data Science and embark on your career with the professional Post Graduate certificate and learn various concepts in depth with millions of aspirants across the globe!

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Course Outline

Course Overview

SQL is a query processing language and Data Science is all about managing and manipulating data. This SQL for Data Science course gives you insights on how SQL is used in Data Science applications.

Intro to Clauses

This section discusses clauses. You shall understand to fetch data from a single table or by combining multiple tables using GROUP BY and HAVING statements.

Group By Statement

This section helps you understand GROUP BY statements in SQL and learn to group the elements based on conditions written after the query statement.

Demo for Group By Statement

This section will help you have practical exposure to group elements using GROUP BY clauses in the tables using the GROUP BY statement. It is handy to fetch data when the criterion is known.

Having Clause Statement

This section discusses the HAVING clause and explains the aggregation in the instances it is used.

Demo For having Clause

This section will demonstrate the HAVING clauses mentioned in the previous section with examples through which you will understand when and where to use the HAVING clause.

Alias in SQL

Alias is used to make table and column names more readable. You will learn to assign a temporary name to a table or a column in a table in this section.

Joins in SQL

This section briefs Joins in SQL and discusses statements that fetch all the results in different tables meeting the condition.

Types of Joins in SQL

This section defines Right Join, Left Join, Inner Join, Full Outer Join, Self Join, and Cross Join. You will understand how all of these joins return values based on the input statement and conditions.

INNER Join

You will learn to return the expected values in different tables based on the input condition using demonstrated examples using the INNER JOIN statement.

LEFT Join

This section briefs on how to return all the elements in the first table and the common elements in the other tables based on the input condition with demonstrated examples using the LEFT JOIN statement.

RIGHT Join

In this section, you will learn to return all the elements in the last table and the common elements in the other tables based on the input condition with demonstrated examples using the RIGHT JOIN statement.

FULL Join

You will learn to return all the values in both the tables based on the input condition, regardless of their commonalities, using demonstrated examples using the FULL JOIN statement.

SELF Join

You will learn to return the values of the same table depending on the input condition given by the user using demonstrated examples using the SELF JOIN statement.

Intro to Subquery

It is also called Sub-Selects or Nested Queries. This section helps you learn to write a query within another query.

Problem Statement

A problem statement is a scenario with defined elements to be achieved at the end of the query processing. You will learn to solve and work with problem statements in this section.

What is a Subquery?

A subquery is a nested query command within another query. It is also called Sub-Selects, and it returns the value that meets the requirements of both queries. You will understand the details in this section.

How Subquery Executes?

Each subquery is executed for every row of the outer query. A correlated subquery evaluated each row processed by the parent statements. SELECT, UPDATE, and DELETE statements are the parent statements. You will understand how a subquery executes in this section.

Type of Subquery

This section discusses single-row subquery, multiple row subquery, multiple columns subquery, correlated subquery, and nested subquery to understand the subquery concept.

Demo for Subqueries

This section will help you understand each subquery with demonstrated examples.

Introduction to SQL with Python

This section discusses how to use SQL queries written on Oracle in Python. You will also learn how SQL can alternatively be used directly in Python in the latter part of this section.

History of Python

This section comprehends the history of Python programming. It talks about the simplicity and user-friendly language exhibits with inbuilt libraries used to develop user-friendly applications.

Why Should You Learn Python?

Python is the most uncomplicated and sophisticated programming language, both easy to learn and use. It also reduces time spent on coding since it has built-in libraries to support high-end applications.

Why is Python So Popular?

Python is popular since it is coded like the English communication language, and it is simple to learn and code. You will understand other reasons why Python programming is prevalent in this section.

Installing Python

This section will demonstrate how to install Python with step-by-step explanations. You can follow the steps to install it on your PC.

MySQL with Python Demo

You will learn how to use MySQL with Python with a demonstrated sample problems.

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SQL for Data Science

4.5 Learning Hours . Intermediate

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