8 Best SQL Data Science Courses [2021 JULY] [UPDATED]

Best SQL Data Science course tutorial class certification training online

For database administrators, it is crucial to understand how to manage and interact with data. Thus, learning SQL will help you learn how to communicate and extract data from databases. If you’re interested in learning SQL databases, we have compiled a list of some of the Best SQL Data Science Courses, Tutorials, Classes, Training, and Specialization programs available online for 2021. Our expert instructors have done thorough research to gather these courses and classes. Besides, the list includes both free and paid courses to help you make an ideal selection. Have a look at our compilation of Data Science Courses.


8 Best SQL Data Science Courses [2021 JULY] [UPDATED]

1. SQL for Data Science by UC Davis (Coursera)

 Data science is a vast field of the IT industry that includes analyzing and processing large data volumes. As the technologies and businesses evolve correspondingly, data collection and processing also became sophisticated and intense operation. This course on SQL for data science will help you learn how to utilize the fundamentals of different commands to manage data processing. From creating and managing tables to combine data together, you will learn to analyze and segregate datasets. Moreover, students will get professional assistance from the instructors and tutors through various assignments and video sessions.


Key USPs –

– Get a detailed overview of SQL fundaments and different concepts associated with it for improving the skills of the developers and database management executives.

– Learn to utilize several SQL commands for managing large data volumes and segregate them based on classification as well as purposes.

– Understand the working of different operators, such as UNION that can help to create and analyze tables through multiple queries.

– Learn to optimize the datasets using different metrics like string and dates to integrate them into the fields from various sources.

– Gain valuable skills that can help you manage data more effectively, such as Data Science, SQLite, Data Analysis, etc.


Duration: 14 Hours

Rating: 4.6 out of 5

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Review: This course has really helped with optimizing queries that I work with every day, enhancing my understanding of RDBMS, joins, analyzing, and structuring exactly what you need and yielding those results. – Jan-Michael P.


2. Databases and SQL for Data Science by IBM (Coursera)

This is another excellent course available on the Coursera learning platform about data science and database management through SQL. This sequence will give you a boost and help you learn some crucial skills to become a professional data scientist. From understanding the management of databases through SQL commands to implementing a data science environment, professionals will be able to upgrade their DBMS skills. This course’s key feature is the practical implementation of the skills you will learn with hands-on projects. After this course, you will be able to secure your career in any leading IT firm as a professional data scientist. Check out our list of Best NoSQL Courses.


Key USPs –

– Understand the working of the database management system and learn to implement the SQL queries on database instance cloud.

– Learn to create, write, and implement fundamental SQL statements such as CREATE, SELECT, INSERT, DROP, DELETE, UPDATE, etc.

– Understand the working of SQL commands to filter, classify, sort, and group data sets using various built-in functions while accessing multiple tables.

– Learn how to work with real databases, real-world datasets, and real data science tools.

– Learn to utilize Jupyter for accessing various databases and tables using the programming language Python while managing real-world projects.


Duration: 13 Hours

Rating: 4.7 out of 5

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Review: Practice lab assignments were excellent in reinforcing my learning; they were just the right kind of challenging. This course has been the best one in the Data Science Professional series by far. – Tejas P.


3. Master SQL for Data Science (Udemy)

Udemy is a big online learning platform, and this course on Data Science from Master SQL is the best fit for DBMS professionals. It includes a complete extract of SQL commands and fundamentals followed in handling different DBMS of an organization. With in-depth knowledge of SQL query basics and other data computing functions, you will be able to grab immense skills from this course. Moreover, there are different case studies involved that will provide a great experience of various working DBMS and data scientist projects, making it relevant for professionals as well. After course completion, you will have a digital certificate that can help you showcase your skills.


Key USPs –

– Learn to write SQL statements and queries through different commands and create databases and tables along with data analytics.

– Hands-on access to 100+ puzzles as practices sessions to upgrade database management skills along with the regular assignments.

– Learn the process of transition of SQL projects from an elementary level to an effortless point of implementing commands and queries.

– From basic to advanced level SQL querying techniques, projects are accessible to the students for becoming the master of SQL developer.


Duration: 9-10 Hours

Rating: 4.6 out of 5

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Review: This was perfect to learn SQL, actually ran through it a second time about a year later as a refresher, and it’s been exactly what I needed both times. Well done. – Michale Vatt.


4. SQL for Data Science with Google Big Query (Udemy)

Individuals who are interested in becoming professional data scientists can take help from this course. This course will help you learn basic and advanced SQL commands required in data science. Throughout the classes, you will understand the working of Google Big Query – a popular cloud-based platform for managing large data volumes. Besides, you will get in-depth insights about data visualization and analytics to perform different queries on databases. You will get access to hundreds of real-world data sets available on the Google Big query ecosystem along with these. Both beginners and professionals will find it very profitable to kick-start their careers.


Key USPs –

– Understand the significance of data science fundamentals, such as data analysis, mining, grouping, and visualization through various techniques.

– Learn the working of Google Big Query Platform and learn to utilize its blendable features that can help to manage large data volumes.

– Hands-on projects to implement SQL queries and commands that can help to grab the immense experience of different data volumes.

– Consistent practice sessions to gather in-depth knowledge of the live working projects by implementing the learned SQL commands in the course.


Duration: 6-7 Hours

Rating: 4.4 out of 5

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Review: Brilliant instructor!! This course gave me a thorough understanding of SQL and BigQuery, which I can leverage in my carrier path of data architect. Thank you so much!! – Avdesh Verma.


5. SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL (Udemy)

If you are involved in databases and interested in having a career in Data Science & Data Analytics, this is an idyllic course for you. Enrolling in the course will help you learn both SQL Server & PostgreSQL and help you enhance your Data Analytics career with real-world data science exercises. This course is designed for anybody who wants to learn PostgreSQL and understands how databases work. The course instructor, Chris Levy, is a professional research scientist who will assist you throughout the classes. After finishing the course, you will interact better with databases and quickly extract results & insights from the data.


Key USPs – 

– Gain knowledge about OLAP vs. OLTP databases (Online Analytics Processing & Online Transaction Processing) while understanding why and how the designs of these two types of Databases differ.

– Know more about the Normalization of Databases and learn the theory behind normalization along with practicing how to normalize a Database step-by-step.

– Know how to better interact with databases and derive results & extract insights from your data faster.

– Be able to build awesome dashboards with Google Data Studio and Google Big Query as the backend language.


Duration: 12.5 hours

Rating: 4.5 out of 5

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Review: Barely covered the basics of SQL. Definitely not A-Z. Database design was really informative though, and I think will help me a lot when I work with Pandas. – Amin Selim.


6. SQL for Data Science by IBM (edX)

Individuals who want to learn how to use and apply SQL’s powerful language to better communicate and extract data from databases can benefit from this course. The course introduces you to relational database concepts that’ll help you understand and apply the foundational knowledge of SQL language and get you started performing SQL access in a data science environment. The program instructor is Ravi Ahuja, an AI and Data Science specialist from IBM, who will help you learn the necessary techniques to improve, grow, and sustain your Data Science career. Also, remember to access the databases from Jupyter notebooks using Python and SQL available within the course.


Key USPs – 

– Learn how to apply foundational knowledge of the SQL language along with how to create a database in the cloud.

– Know how to use string patterns and ranges to query data with understanding how to sort and group data in result sets and by data type.

– Learn how to use string patterns and ranges to query data, sort and group data in result sets, and analyze data using Python.

– Get to work with real databases, datasets, and practice your concepts with a series of hands-on lab exercises.


Duration: 4 weeks (2-4 hours/week)

Rating: 4.5 out of 5

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7. Introduction to SQL (DataCamp)

DataCamp is known for offering a practical programming course that can help data scientists turn raw data into actionable insights. This SQL program focuses on mastering the basics of querying tables in relational databases, such as MySQL, SQL Server, and PostgreSQL. Most of the world’s data is organized into collections of tables called relational databases, and this curriculum will help you learn the basics and teach you how to work on it. Moreover, you’ll learn how to wrangle and extract data from these databases using SQL and syntax in SQL with multiple types of databases, such as PostgreSQL, Oracle, MySQL, and SQL Server.


Key USPs – 

– Get introduced to working with relational databases and learn about their structure, using database lingo, and begin an analysis using simple SQL commands to select and summarize columns from database tables.

– Know more about how to filter tables and use basic comparison operators, match patterns in text, combine multiple criteria, and much more.

– Gain knowledge about using aggregate functions to summarize data and gain useful insights along with an understanding of arithmetic in SQL.

– Get your concepts clear on sorting and grouping your results by getting a brief introduction.


Duration: 4 hours

Rating: 4.4 out of 5

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8. SQL for Data Analysis (Udacity)

Created by Derek Steer, this SQL course for Data Analysis focuses on teaching you everything required to begin your journey as a Data Scientist and Data Analyst. Taking up this course will help you learn to use Structured Query Language (SQL) to extract and analyze data stored in databases. The instructor will help you learn to remove data, join tables together, perform aggregations, and understand doing more complex analysis and manipulations using temp tables, subqueries, and window functions. During the lessons, you will get rich learning content, interactive quizzes to practice your concepts, and a student support community to make your learning process smooth.


Key USPs – 

– Know how to write common SQL commands including SELECT, FROM, and WHERE, along with the understanding to use logical operators in SQL.

– Gain knowledge to write INNER JOINs to combine data from multiple tables, LEFT JOINs to combine data from various tables, common aggregations in SQL comprising COUNT, SUM, MIN, and MAX, CASE and DATE functions, NULL values, and much more.

– Learn to write subqueries to run multiple queries together and use temp tables to access a table with more than one query.

– Know how you can perform data cleaning using SQL and use window functions to tackle more analysis tasks.


Duration: 4 weeks

Rating: 4.4 out of 5

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After taking the above courses, you will have a complete understanding of SQL databases to work with data science. So, take up any course and begin your learning journey with SQL databases.