SQL for Data Science Free Course
SQL for Data Science
4.51
Intermediate level
4.5 learning hrs
Learn essential SQL techniques for data analysis, including table creation, joins, subqueries, and aggregations. Join this SQL for Data Science free course to gain expertise in SQL for data-driven decision-making.
Instructor:
Ms. Sampriti Chatterjee
What you'll learn
About this course
This free SQL for Data Science course provides the essential skills to manage databases and perform complex data analysis using SQL. You’ll learn core SQL techniques, including creating and manipulating tables, using clauses such as GROUP BY and HAVING, and mastering joins (INNER, LEFT, RIGHT, FULL, and SELF joins) to retrieve data across multiple tables. The course covers advanced SQL concepts like subqueries, including single-row and correlated subqueries, and helps you optimize data retrieval with advanced query techniques. You’ll also learn how to use SQL with Python for data analysis and connect SQL databases to Power BI for building dynamic dashboards.
Through hands-on projects, you’ll work with real-world datasets, performing data analysis with SQL and Python, and connecting SQL databases to Power BI to create interactive dashboards. By the end of this data science SQL course, you’ll be proficient in writing complex SQL queries, analyzing large datasets, and using SQL for data-driven decision-making.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.
Data Analysis using SQL
In this module, you will learn how to create and use a SQLite Database inside Jupyter Notebook, execute queries using Python, load queries result into Pandas Dataframes and perform simple data analysis using SQL and Python.
Connecting SQL to Power BI Tool
In this module, you will learn about using a Power BI Tool to connect with a SQL database, execute queries into the BI Model, building a simple dashboard and triggering a data refresh from SQL database.
Get access to the complete curriculum once you enroll in the course
This course is ideal for
- Beginners wanting to learn SQL for data analysis.
- Students and job seekers targeting data roles.
- Working professionals who query data in Excel and BI tools.
- Learners who want an SQL for Data Science certificate.
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Our course instructor
Ms. Sampriti Chatterjee
Data Science Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What will I learn in this SQL for Data Science course?
In this free SQL for Data Science course, you will learn the core SQL techniques used to analyze and manipulate data. The course covers the basics of SQL, including creating tables, working with GROUP BY and HAVING clauses, and different types of joins, such as INNER, LEFT, RIGHT, and FULL. You’ll also learn how to use subqueries, aliases, and SQL in Python to perform data analysis and connect SQL databases to Power BI for visualizing your data.
Who should take this SQL for data science free course?
This course is ideal for beginners, students, and professionals interested in data analysis and data science. It’s perfect for anyone looking to build foundational SQL skills to analyze data, as well as those preparing to advance into more technical data roles.
Is this a beginner-friendly free online SQL for Data Science course?
Yes, this course is designed for beginners. No prior knowledge of SQL is required; the course starts with basic concepts and progresses to more advanced topics, including subqueries, joins, and integrating SQL with Python and Power BI.
How long does this introduction to SQL for data science take to complete?
This course includes approximately 4.5 hours of learning content and follows a self-paced format. This makes it easy to complete at your own pace alongside your work or studies.
What skills will I gain from this SQL Data Science course?
The skills you will gain:
Data Analysis
SQL
SQLite
Power BI
SQL With Python
SQL Clauses
GROUP BY Statement
HAVING Clause
Aliases In SQL
Joins in SQL
Subqueries
Python Concepts With SQL
What modules are covered in this free online SQL for Data Science course?
This free SQL for data science course covers core SQL topics, including:
Course Overview
Intro to Clauses
Group By Statement
Demo for Group By Statement
Having Clause Statement
Demo For having Clause
Alias in SQL
Joins in SQL
Types of Joins in SQL
INNER Join
LEFT Join
RIGHT Join
FULL Join
SELF Join
Intro to Subquery
Problem Statement
What is a Subquery?
How Subquery Executes?
Type of Subquery
Demo for Subqueries
Introduction to SQL with Python
History of Python
Why Should You Learn Python?
Why is Python So Popular?
Installing Python
MySQL with Python Demo
Data Analysis using SQL
Connecting SQL to Power BI Tool
What does an SQL query do in this course?
This introduction to SQL for data science course explains that SQL queries are used to retrieve and manipulate data from databases. You will learn how to create and filter data, combine multiple tables, and run complex queries to analyze data and gain insights.
How does this data science SQL course help with real-world work?
This SQL data science course connects theory with real-world business scenarios. You will apply your learning to practical examples, helping you use SQL to analyze data and make data-driven decisions in the workplace.
Can I take this SQL for Data Science course for free, along with other courses?
Yes, you can enroll in multiple free courses from Great Learning Academy at the same time, allowing you to build expertise in SQL for Data Science while exploring other topics in data analysis and beyond.
How can I build a career in data analytics after learning SQL?
SQL is an important foundation for working with data, helping you retrieve, manage, and analyze information from databases. To progress further, learners can build expertise in areas such as Python, data visualization, statistical analysis, predictive modeling, and business analytics. For learners looking for guided advanced learning, the Post Graduate Program in Data Science and Business Analytics helps develop job-relevant data skills through practical learning. They can also explore the Data Analytics Essentials Program from McCombs School of Business, The University of Texas at Austin, to strengthen their understanding of analytics concepts and applications. Select the program that aligns with your learning goals and career direction.
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.
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?
This course From Great Learning Academy 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.
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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