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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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Intermediate

Level

4.5 Hrs

Learning hours

130.6K+
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Skills you’ll Learn

About this Free Certificate 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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4.51
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What our learners enjoyed the most

Ratings & Reviews of this Course

Reviewer Profile
Krisha B

5.0

“SQL for Data Science - Topic Depth, Great Teaching”
I understood the concepts as they were clearly explained, and the quizzes helped me understand how well I have progressed. Thank you.
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Reviewer Profile
Fajar Febriansyah Kaluku

5.0

“Enjoyable, Interesting, and New Knowledge”
I thoroughly enjoyed the basic SQL course! It was both interesting and engaging, providing a solid foundation in database management. I learned essential concepts such as queries, joins, and data manipulation, which were new to me. The hands-on exercises were particularly helpful in applying what I learned. This course has not only sparked my interest in data analysis but also equipped me with practical skills that I can apply in real-world scenarios. I look forward to exploring more advanced topics in SQL!
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Reviewer Profile
Anthony Coker

5.0

“Keenly Taught, Sound Explanation in Details”
I recently completed the SQL for Data Science course at GreatLearning, and it was an excellent experience. The tutor provided keen insights and detailed explanations, making complex concepts easy to understand. Highly recommend this course for anyone looking to enhance their SQL skills!
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Reviewer Profile
Wassim Ben Slim

5.0

“An Amazing Introduction to SQL and a Very Helpful Course”
This course truly lives up to its title! It offers a clear, concise introduction to SQL with plenty of practical examples that help reinforce each concept. The explanations are easy to follow, even for beginners, and the hands-on exercises ensure that you're not just passively learning but actively applying the knowledge.
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Nitin S kumar

5.0

“The SQL Course Was Highly Informative, Covering Fundamental Concepts”
The SQL course was highly informative, covering fundamental concepts like queries, joins, and database management. The lessons were practical, with real-world examples, making it easy to grasp complex topics. The hands-on exercises solidified learning, and the course pace was well-balanced for beginners and intermediate learners alike. Highly recommended!
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Reviewer Profile
Muhammad Yasir Imtiaz

5.0

“Engaging Content, Practical Applications, and Insightful Discussions”
I appreciate the course's engaging content, practical applications, and insightful discussions. It offers real-world examples and interactive activities that enhance understanding. The well-structured lessons and supportive community make learning enjoyable and effective.
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Reviewer Profile
Sanjeevna Diyali

5.0

“The Tutor Did an Amazing Job Explaining the Topics with Clarity”
This course is beginner-friendly, and I would love to recommend it to all of my friends.
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Reviewer Profile
Saiful Anwar

5.0

“Comprehensive and Insightful SQL Query Analysis”
I particularly enjoyed the clear explanations of SQL joins and the practical examples provided. The insights into subqueries and their applications were especially useful for enhancing my understanding of complex queries. The interactive approach made the learning experience engaging and effective.
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MALLIMPALLI YASWANTH

5.0

“Excellent, I Really Enjoyed Easy to Understand”
Excellent, I really enjoyed it. Easy to understand. Nice teaching techniques.
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Reviewer Profile
Betelhem Yehualashet

5.0

“The Learning Material Is Comprehensive and Engaging”
The material is well-organized and easy to navigate. Concepts are explained clearly with appropriate depth, making it accessible for various learning levels.
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SQL for Data Science

4.5 Learning Hours . Intermediate

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Frequently Asked Questions

What prerequisites are required to learn the SQL for Data Science course?

SQL for Data Science is a beginner's course, but you will have to learn SQL and Data Science Basics before diving into this course.

How long does it take to complete this free SQL for Data Science course?

The SQL for Data Science free course is 3-hours long. You can take your time and learn it at your leisure since this course is self-paced.

Will I have lifetime access to this free course?

Yes, once you enroll in the course, you will have lifetime access to this Great Learning Academy's free course. You can log in to SQL for Data Science anytime and learn at your own pace.

What are my next learning options after I learn SQL for the Data Science course?

Once you complete this free course, you can opt for a Master's in Data Science that will aid in advancing your career growth in this leading field

 

Is it worth learning SQL for Data Science?

Yes, it is beneficial to learn SQL for Data Science. Data Science requires tools to organize and manage massive data sets within an organization. Also, without SQL, it is herculean to point to one data or a group of data in a vast pool. SQL simplifies these tasks, making it the best learning option.

What Is SQL for data Science used for?

SQL organizes data and performs operations such as updating, deleting, creating records, modifying tables, and views on stored data in databases. It also serves as a standard for existing big data platforms using SQL as their primary API to work with relational databases. These operations improve performance while working with a vast data set, reducing time and manual effort.

Why are SQL and Python for Data Science so popular?

SQL is a query processing tool to structure, organize, maintain and extract accurate data for internal and external purposes, while Python is a user-friendly programming language used for multiple purposes. Both SQL and Python are used popularly across the globe to work with data in Data Science, Artificial Intelligence and Machine Learning, Cloud Computing, IT and Software, and Management purposes.

Will I get a certificate after completing this free SQL for Data Science course?

Yes, you will get a certificate of completion for the free SQL for Data Science course after completing all the modules and cracking the assessment/quiz. All the assessment tests your knowledge of the subject and badges your skills.

What knowledge and skills will I gain upon completing this course?

You will gain the foundational knowledge of how to work with SQL and Python programming to achieve Data Science task outputs. In this course, you will learn concepts such as querying in SQL, different statements, Python and its popularity in Data Science, and to directly import SQL manipulations in Python codes.

How much does this SQL for Data Science course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning how to manage and organize massive data within an organization or work with it for project purposes can get started with this course. You can also refer to the attached materials for additional knowledge.

Is there any limit on how many times I can take this free course?

Once you enroll in this course, you have lifetime access. So, you can log in to SQL for Data Science anytime and learn it for free online at your convenience.

Can I sign up for multiple courses from Great Learning Academy at the same time?

You can enroll in as many courses as you want from Great Learning Academy. There is no stricture to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free SQL for Data Science course?

Great Learning is a global educational technology platform committed to developing skilled professionals. Great Learning Academy is a Great Learning project that provides free online courses to assist people in succeeding in their careers. Great Learning Academy's free online courses have helped over 4 million students from 140 countries. It's a one-stop destination for all of a student's needs.

 

This course is free and self-paced. It also includes solved problems, demonstrated codes, and presented examples to help you comprehend the numerous areas that fall under the subject. It also awards you a certificate to showcase your skills. The course is conducted by topic experts and carefully tailored to cater to beginners and professionals.

Who is eligible to take this course?

Anybody interested in learning to manage and organize data, use them for project purposes, and grasp SQL and Data Science Basics can take the course. So, enroll in our SQL for Data Science course today and learn it for free online.

What steps are to enroll in this SQL for Data Science course?

Enrolling in Great Learning Academy's SQL for Data Science course is a simple approach. You will have to sign-up with your E-Mail ID, enter your user details, and then you can start learning at your own pace.

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Other Data Science tutorials for you

SQL for Data Science

Data Science is a field that offers a variety of job opportunities. Companies are increasingly becoming data-driven today. The use of SQL in data science has become popular as the data is stored in a database and managed by a database management system. The DBMS simplifies and organizes our work. Thus, it becomes essential to link the most popular programming language with the most promising DBMS solution—one of the most hopeful  DBMS solutions. As data collection has grown exponentially, there has also been a need for people skilled at working with data and interacting with it, able to think critically and provide insights to make better business decisions. A data scientist earns an average of $120,000 a year and has thousands of job openings at a time, according to Glassdoor. Data scientists must be able to retrieve and work with data, and to do this, and you need to be skilled in SQL, the standard language used to communicate with database systems.

SQL for a data science course

The aim of this course is to bring you to the fundamentals of SQL and how to work with data, so you can start analyzing it for data science. When you ask the right questions and provide good answers, you will be able to deliver valuable insights for your organization. The course starts with the basics and assumes you have no experience or knowledge of SQL. Building on that foundation, you will gradually learn how to write simple and complex queries to select data from tables. There are different types of data you will work with, such as numbers and strings, and you will learn about methods to filter and get your required results.

Analyzing data involves collecting, transforming, and interpreting data so that conclusions and predictions can be made and informed decisions can be made.

The most widely used database language is SQL, which is supported by popular relational database systems like MySQL, SQL Server, and Oracle. There are, however, some features of the SQL standard that are implemented differently in different database systems. Thus, SQL is one of the most important concepts to learn in the field of Data Science. So we created this course to teach you SQL for data science.

You will be able to create new tables and move data into them. We will teach you how to combine the data by using common operators. Case statements and concepts such as data governance and profiling will be used. Data topics will be discussed, and you will practice using real-world programming assignments. As a specialist, you'll be accountable for understanding data structure, meaning, relations and using SQL to shape data for targeted analysis.

SQL for data analysis

The purpose of this course is to teach you how to extract and analyze information stored in databases using Structured Query Language (SQL).To begin, you'll learn how to extract data, join tables together, and perform aggregations. Next, you will learn to use subqueries, temp tables, and window functions to run more complex analyses and manipulations.

Learn SQL basics for data science specialization

The world's best universities, such as UT Austin, MIT, Northwestern University, etc., have partnered with Great Learning to create the best online data science courses to help our learners learn from world-class professors and gain advanced data science skills. These programs offer world-class education in domains such as data science, business analytics, and machine learning.

Discover how to use and apply the powerful language of SQL to communicate through and extract data from databases, an essential skill for anyone operational in data science.

Why this course?

  • * Learn and apply the fundamentals of SQL
  • * to create a cloud database
  • * Query data through ranges and string patterns
  • * Organize and sort data by data type in result sets
  • * SQL Data Analysis

Learn how to manage your database using SQL. Beginner-level tutorials for creating tables, defining relationships, and manipulating strings with SQLite Studio. Content is prepared by Great Learning employees with a wealth of experience in analytical data. With videos, assessments, and hands-on labs, you'll learn about analysis tools and platforms, as well as key analytical skills for jobs. Data cleaning, problem-solving, critical thinking, data ethics, and data visualization are among the skills you'll learn. You will complete a case study that you can showcase to potential employers in addition to expert training and hands-on projects. You will learn skills that top employers are hiring for right now.

Conclusion for Data science in SQL

Structured Query Language (SQL) is a tool used for relational database querying and overseeing purposes. Databases consist of two-dimensional tables (e.g., Datasets, Excel Spreadsheets). These tables include a specific number of columns and any number of rows. Nowadays, companies are giving more and more importance to data. As an example, data can be used to analyze and solve business problems, predict market trends, and understand customer needs. 

The prime advantage of using SQL is that it can be accessed directly without the requirement to copy it first when performing data operations. This can significantly speed up workflow execution. You will learn to extract and analyze in stored databases using SQL. You will also learn to join tables and perform aggregations. Then you will learn how to do more complex analysis and manipulation using subqueries, temp tables, and window functions. By the closing stages of the course, you will be proficient in writing efficient SQL queries for various data analysis tasks. Structured Query Language was created for accessing and manipulating data stored in databases. Different versions of SQL and database management systems that use SQL are available, including Microsoft SQL Server, PostgreSQL, MySQL, Oracle, etc.

They all use SQL with similar syntax, although DBMS may require different knowledge. SQL allows you to:

  •  * Create, modify, delete, and manipulate tables
  •  * Create, edit, delete and manipulate data
  •  * You can access and retrieve records (data)
  •  * Database stored procedures should be created
  • * Set permissions on procedures and tables

According to the above description, a Data Scientist needs SQL to handle structured data. Structured data is stored in relational databases. Therefore, a data scientist must have a solid understanding of SQL in order to query these databases. To solve business problems, data scientists use tools to derive, mine, and analyze data. Handling and perceiving individual units from the significant volume of data requires a blend of skills and technology. SQL manipulates and handles relational databases in a systematic approach to derive useful insights from the database. This is a smooth management tool aiming to streamline the strenuous process of extracting data from massive databases by acting as a language communicator between the human and the computer. Commands are language inputs that the other end of the software understands. The purpose of this language is to collect, manage, and recover the data that is stored in a database. It is helpful to perform functions such as researching, querying, editing, extracting, and transforming data. The SQL language is simple and easy to learn. The application is not restricted to engineers, developers, or data analysts/scientists, but anyone who wants to spend a few days learning and using it. Data scientists are familiar with SQL-the industry-standard language for data analysis. As data sizes grow, you need to know how to do more than just read and write to a database. So, learn this skill which is high in demand nowadays.

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