Best SQL for Data Science Courses, Certifications (May 2024)

  • Post last modified:2 June 2023
  • Reading time:50 mins read
  • Post category:Best Online Course
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Nowadays, SQL is considered an important skill to learn for data science. It is for creating databases to store large quintillions of data. SQL is the third most popular skill to learn for data scientists. SQL is used for data science and machine learning to speed up the operations and executions of the workflow. It is one of the most requested skills in job listings from companies. If you are ready to become a data scientist, you should check out the list of Best SQL for Data Science Courses.

Best SQL for Data Science Courses
Best SQL for Data Science Courses

Why learn SQL for Data Science?

SQL is a handy skill that helps data scientists to access and interact with large databases without writing code. Also, SQL is high in demand, SQL developers can earn a good living, like many other roles in the tech industry. According to the Bureau of Labor Statistics, SQL developers typically earn $98,860 in the United States.

As per Job Outlook, a 9 percent increase in database administrators’ and architects’ employment between 2021 and 2031, is faster than average for all occupations. You can see that there are so many opportunities for SQL developers and data scientists who understand databases to have a successful career. 

Even if you are not a data scientist, you can still learn it by following the best data science courses. You might like to look and become familiar with basic data science concepts.

So, are you interested in finding out the Best SQL Data Science Course on the market? If you are, scroll down fast!

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Best SQL for Data Science Courses, Certification, Tutorials, Training, Classes Online

SQL for Data Science by UC Davis [Coursera]

As a good data scientist, you need to be well-versed with SQL, the standard way to communicate with databases. Data is growing at the speed of light and managing it is tough.  Professional data scientists are required to handle the collection of data sets. This Coursera training program is designed to teach you the fundamentals of SQL and data analysis. You will gradually start writing both simple and complex queries for retrieving and storing the data.

Course Instructor

This SQL for Data Science Coursera Course is taught by Sadie St. Lawrence,  founder & CEO  of WID. The University of California offers this program to enable you with the data analysis methods.  It will build curiosity to ask questions and find answers from the data.  UC Davis is allowing you to improve your SQL skills and use them for data science.

What You’ll Learn

Take this Coursera SQL Tutorial for Data Science to learn in-depth in four chapters, namely: 

  1. Getting Started with SQL: This module will start with SQL and explain the importance of SQL. As a beginner, it is necessary to learn the roles of a database administrator and a data scientist.

  2. Filtering, Sorting, and Calculating Data with SQL: In this module, you will discover operators and clauses, including WHERE, BETWEEN, IN, OR, NOT, LIKE, ORDER BY, and GROUP BY.

  3. Data Modifying and Analyzing: The goal of this week’s lesson is to become familiar with concatenating, trimming, changing cases, and using the substring function to modify strings. Furthermore, you will use case statements in this module and discuss data governance and profiling.

Pros & Cons


  • No Prerequisites
  • Certificate on Completion
  • Financial Aid Available


  • Paid Certificate

Key Highlights & USPs

  • Learn to identify a dataset from a set of columns by writing SQL queries.

  • Develop knowledge of how to use SQL commands to filter, sort, and summarize the data. 

  • Create the tables for data analyzing from multiple queries using the UNION operator. 

  • Build a foundation by manipulating strings, dates, and numeric data using functions. 

  • Discuss topics on data and practice using real-world programming assignments. 

  • Gain understanding of how to interpret the structure and relationships in source data.

  • Learn to integrate data from different sources into fields with the correct format for analysis.

Who is it for?

This SQL for Data Science Course is a beginner-friendly program for students and professionals. It does not have any prerequisites or software requirements. It will be your first step to becoming part of the data science world. Enroll now for free!

Rating: 4.6/5
Students Enrolled: 351, 392
Duration: 14 hours

Coursera 7-Day Trail offer

Databases and SQL for Data Science by IBM [Coursera]

SQL is a powerful language for communicating and extracting data from databases. This IBM SQL for Data Science introduces you to relational database concepts and applies foundational knowledge of SQL language. It will give you a chance to get started with performing SQL in a Data Science Environment.  This Coursera SQL for Data Science Certifications emphasis hands-on and practical learning.

Course Instructor

Databases and SQL for Data Science Course is taught by two experienced data scientists at IBM: Ravi Ahuja, and Hima Vasudevan. They will help you to complete this specialization or professional certificate program. Once you complete the IBM Data Science Courses and you can take other courses related to: 

  • IBM Data Analyst Professional Certificate
  • Data Engineering Foundations Specializations

What You’ll Learn

This Databases and SQL Online Course on Udemy includes 6 lessons to teach basic SQL for Data Science using Python. 

  1. Getting Started with SQL: This module will introduce you to  databases and how to create them on the cloud. You will discover the fundamentals of SQL and also write basic SQL. 

  2. Introduction to Relational Databases and SQL: You will examine the basic
  1. Intermediate SQL: This module is designed to teach you how to sort and organize data in result sets. 

  2. Accessing Databases using Python: This week’s lesson is about mastering the fundamentals of Python connectivity to databases. You will create tables, load data, run SQL queries, and use Python to analyze it in a Jupyter Notebook.

  3. Final Assignment: This assignment is the best way to practice what you’ve learned and use it on various real-world datasets. It helps you to know how to get accurate insights by firing SQL queries. 

  4. Advanced SQL for Data Engineering: The advanced SQL techniques will be helpful to data engineers. You must finish this module if you are on the Data Engineering route. For individuals who finish the Data Science or Data Analyst programs, completion of this module is not necessary. 

Pros & Cons


  • Get a IBM digital badge after completion
  • Excellent instructor
  • Financial Aid Available


  • Use IBM Db2 console only, inconvenient for some learners

Key Highlights & USPs

  • Learn to create and access a database instance on the cloud. 

  • How to filter, sort, and group multiple tables to easily handle them.

  • Develop the skill of writing basic SQL statements for accessing databases. 

  • Able to work with Jupyter Notebooks using Python and manage datasets. 

  • Hands-on labs and practice assignments train you to run SQL queries. 

  • Get the bonus module to learn advanced SQL techniques like views, transactions, stored procedures, and joins. 

  • Free unlimited access to 9 reading materials, 26 quizzes, and 31 video lectures to enhance the knowledge.

Who is it for?

This beginner-level SQL Data Science Course is for those who want to learn SQL and gain skills in the data science/analytics field. By the end, you will gain a working knowledge of SQL and use it on large real-world datasets. As a data analyst or data scientist, it is the most important skill. If you don’t have previous data analysis knowledge, look at our list of the Best Data Analysis Courses Online on GeekTonight.

Rating: 4.7/5

Students Enrolled: 215,399

Duration: 19 hours     

Master SQL for Data Science [Udemy]

Take this SQL Masterclass to become a Data Engineer. You will learn to extract valuable insights from datasets stored in the form of databases.  This SQL for Data Science Udemy Course provides plenty of quizzes and practice opportunities to get in-depth knowledge of SQL. It will take you step by step into advanced topics such as subqueries, joins, rollups, and window functions. 

Course Instructor

Imtiaz Ahmed created this Master SQL for Data Science Course to look at a large SQL query.  He is an award-winning Udemy instructor with years of experience in Big Data and programming languages like Python, R, and Javascript. This training program promises you the best environment to improve your skill and learn something new.

Pros & Cons


  • Quite comprehensive and effective
  • Easy to follow and well presented by instructor
  • Certificate on Completion


  • Lengthy: Can take up to 6 months

Key Highlights & USPs

  • Able to write complex SQL statements to query the database and derive data insights.

  • Learn the concepts from basic techniques to a point where you can easily work with large datasets.

  • Dive into the world of advanced querying techniques using window functions, rollups, and cubes, window functions, transposing & ranking data. 

  • You get the chance to practice 100 + puzzles with solutions for getting a firm grasp on SQL methods for data science.

  • Get full lifetime access to 9 hours of on-demand video, 11 articles, and 4 downloadable resources. 

Who is it for?

This SQL Data Science tutorial is for anyone who wants to become a data science wizard. It’s an ultimate guide to take an entry-level data analyst role in any organization.  You will earn a certificate of successful completion and recognition of becoming a SQL Data Science Developer.

Rating: 4.6/5

Students Enrolled: 36,140 

Duration: 10 hours

Udemy New Customer Deal
Valid till: 1st Feb

SQL for Data Science with Google Big Query [Udemy]

If you know nothing, don’t worry. This Data Science SQL Course will teach you all the basic as well as more advanced methods. You will learn about Google Big Query, that’s a popular cloud-based tool for querying large amounts of data.  It’s time to enhance your knowledge by discovering the SQL techniques used for data visualization,  analysis, and data science using Google-based Cloud Platform. It will develop the magic of handling hundreds of large datasets and gather insights from the data.

Course Instructor

Chris Levy,  a data scientist,  designed this advanced SQL Course for Data Scientists with developed skills in data engineering, machine learning, data visualization, and data analysis.  In the end, you will be able to work on projects for building practical skills.

Pros & Cons


  • Full access to downloadable resources and articles
  • Great Intro to Google Big Query
  • Certificate on Completion


  • At least have familiarity with the interface

Key Highlights & USPs

  • This Udemy SQL with Google Big Query Training Program includes 10 sections and 57 video lectures that teaches you all the basics methods.

  • How to use SQL queries for data mining, data analysis, data science, and data visualization. 

  • Become confident in using the Google Big Query Tool and Ecosystem for sorting out the datasets. 

  • Learn how to count records, return distinct records, and order records. 

  • Build interactive dashboards with Google Data Studio for data visualizations.

  • Able to work on a couple of Projects to check your performance.

  • Unlimited access to 7 hours of on-demand video, 10 articles, and 50 downloadable resources.  

Who is it for?

If you are interested in learning SQL and data mining, this SQL Data Science training is right for you. Whether you know nothing or have no experience with SQL, anyone can start a journey as a data scientist with no prior knowledge. After successful completion, you will be able to complete all sorts of projects on the data and build awesome dashboards with Google Data Studio.

Rating: 4.6/5

Students Enrolled: 7K

Duration: 7 hours

SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL [Udemy]

TThis SQL and Database Design Course offers you the complete guide to learn about SQL Server and PostgreSQL.  You can understand how to use main tools for organizing databases, input data, and extracting the data to get profitable values. You get to create queries using different variations of SQL called PostgreSQL.  While completing the course, you will be able to master the concepts of database design. It is the right time to build the ability to interact with databases and derive positive results.

Course Instructor

Kirill Eremenko and Ilya Eremenk, professional data scientists, are going to teach you this Udemy SQL & Database Design A-Z Course. It covers all the basic topics of SQL that include OLAP vs OLTP databases, normalization of databases, and so on. 

Pros & Cons


  • Best MS SQL server and Postgresql
  • In-depth explanations
  • Brush up your SQL skills to become pro
  • Certificate on Completion


  • Lengthy: Can take up to 6 months

Key Highlights & USPs

  • Learn MS SQL online with this Udemy course in 10 sections that highlight relational database fundamentals.

  • Learn to create basic SQL queries for Data Analysis. 

  • How to join tables using left, right, Inner, and outer JOIN commands. 

  • Understand how to design OLAP ( Online Analytical Processing), OLTP( Online Transaction Processing), and normalize databases.

  • Gain knowledge of first, second, and third normal form schemas. 

  • How to use advanced SQL techniques for creating tables and altering existing tables in Databases. 

  • Get access to five articles and 12 hours worth of video lectures for a lifetime and boost your career growth.

Who is it for?

This SQL tutorial is designed for data scientists and data analysts. It’s better to have the knowledge and any programming skill. After successful completion, you get a certificate to display whatever you’ve learned. If you are interested in building a career in data analytics or Data Science, enroll now.

Rating: 4.4/5

Students Enrolled: 25, 099

Duration: 13 hours

SQL for Data Science by IBM [edX]

EdX brings you an IBM Data Science Course to learn how to use and apply SQL for extracting data from databases. It is a must-learn opportunity for anyone to start working in the data science field. It will teach you the SQL fundamentals and how to write queries for better communication with databases. The main purpose of this Data Science with SQL Course is to introduce relational databases and build foundational knowledge of SQL techniques.

Course Instructor

Ravi Ahuja, AI and Data Science Program Director at IBM, will guide you through the course by providing hands-on projects and gaining practical experience. He designed this course to implement this powerful SQL language to databases and pursue a career in the data science field.

Pros & Cons


  • Professional-level curriculum
  • Certificate on Completion


  • Unavailable in some countries

Key Highlights & USPs

  • Learn to perform SQL queries in a data science environment. 

  • Create a relational database in the cloud. 

  • How to use data strings patterns and ranges to query data.

  • Learn methods to sort and group data in datasets using data types.

  • Able to analyze data using Python programming language.

  • How to access databases from Jupyter Notebooks using SQL and Python.

Who is it for?

This SQL for Data Science online Course with a certificate is for professionals or beginners who want to gain proficiency in data science. IBM Data Science Foundations are giving you a golden opportunity to  analyze and extract data from databases. Upon completion, you will gain enough knowledge to work on data science projects.

Rating: 4.5/5
Students Enrolled: 77,275
Duration: one month, 2-4 hours per week

Introduction to SQL [DataCamp]

Introduction to SQL Course is the beginner’s guide to master the basics of SQL, MySQL, and PostgreSQL.  You will be able to turn the raw data into actionable insights. It will teach you how to wrangle and extract data from databases using SQL.  This Datacamp SQL Course is to learn to write Syntax in SQL shared by types of databases. It focuses on boosting the confidence of students to participate in the world of data science.

Course Instructor

Nick Carchedi, a product manager at DataCamp, designed this SQL Training Program to provide a general overview of using SQL for data analysis. You will gain knowledge about databases and how they are used for analyzing the world’s raw data.

Pros & Cons


  • Easier way to learn SQL
  • Bite-sized lessons
  • Certificate on Completion


  • Free for first chapter, paid for rest

Key Highlights & USPs

  • This beginner SQL course consists of two chapters that offer you interactive and effective exercises to test your knowledge.
    • Relational Database
    • Querying SQL

  • Learn to structure, how to communicate using standard query language, and analyze data using simple commands. 

  • Know how to summarize the group of columns into tables. 

  • How to use basic comparison operators, combine multiple criteria, match patterns, and much more.

  • Able to apply aggregate functions to summarize data and gain useful insights. 

  • Discover arithmetic in SQL and use aliases to make results readable. 

  • Get a brief introduction to sorting and grouping your results.

  • Get free access to one video lecture, 41 practice exercises, and case studies.

Who is it for?

The online SQL course is suitable for beginners who want to start their career chapter by learning data science using SQL. By the end of the course, you will be able to create and query relational databases, customize and save query results, and understand the differences between different SQL flavors and databases. After successful completion, you will be certified as an associate or data analyst.

Rating: 4.5/5
Students Enrolled: 1,157, 955
Duration: 4 hours

50% OFF Datacamp
Offer till 1st Feb

SQL for Data Analysis [Udacity]

With Udacity SQL for Data Analysis,  you will learn about Standard Query Language to extract and store data in databases.  This Data Analysis Course will tell you the process of data analysis that includes retrieving, cleaning, and analyzing the data. You can start by extracting data, joining tables, and performing aggregations.  By the end, you will be able to do more complex analysis, manipulate the data using subqueries, temp tables, and window functions.

Course Instructor

Derek Steer is the instructor of this SQL for Data Analysis Tutorial to guide the students throughout with full technical support. By the end, you become a pro in writing long SQL queries to handle a variety of data analysis tasks.

Pros & Cons


  • Boost your skills with highly-curated content
  • Designed and taught by industry-experts
  • Certificate on Completion


  • Require working experience with data in spreadsheets

Key Highlights & USPs

  •  This Udacity Data Analysis Online Course is designed with 6 six chapters to discuss databases for data analysis.
    • Basics of SQL
    • Joins
    • Aggregations
    • Subqueries and Temp tables
    • Data Cleaning 
    • Window Functions

  • How to write common SQL commands and logical operators in queries. 

  •  How to use INNER, LEFT, RIGHT, and OUTER JOIN for combining multiple tables.

  • How to write common aggregations in SQL as well as CASE & DATE functions.

  • Understand how to access tables with more than a query.

  • Learn to perform data cleaning using SQL.

  • Get free access to instructional videos, practice exercises, and full technical support from mentors.

Who is it for?

Before taking this SQL function for the data analysis program,  students should have familiarity with how to use excel spreadsheets.  It’s time to upgrade your programming knowledge by using SQL Data Analysis Tools.  After the completion of this free SQL online tutorial, you will be prepared for the Nanodegree Data Science with Python Program and earn a certificate to accelerate your career.

Rating: 4.5/5
Students Enrolled: 24,682
Duration: 1 month

Udacity 50% Offer

Frequently Asked Questions

Why learn SQL for Data Science?

SQL is widely used for data science as a tool by professionals like digital marketers, engineers, product managers, and more. It enables you to access and analyze data with ease.

SQL is the ideal choice for modern industries and plays an important role in CRM, business intelligence, and product management. Today, modern technologies like Big Hadoop, Data Analysis make use of SQL for manipulating the data.

How long does it take to learn SQL for data science?

It does take 3 or 4 weeks to learn SQL for creating databases and master the basic concepts. It will take a few years to become pro in applying SQL

Keep Reading !

It was a simple introduction to Why you should enroll in SQL courses as a Data scientist and enhance your SQL skill. It’s easy to become a SQL developer in a couple of months and power the knowledge. After reviewing, you may find a suitable course that fulfills your career requirements. If you are interested in learning data science and machine learning, follow Geektonight and get new expertise.

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