11 Best SQL Courses On Coursera For Mastering SQL Programming

11 Best SQL Courses On Coursera For Mastering SQL Programming

Are you looking for the best SQL courses on Coursera?

As data collection has increased aggressively, so has the need for people skilled at using and interacting with data.

The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.

In this article, I have collected some of the best SQL courses on Coursera to help you improve your skills.

Before we take this ship off the shores, you can check out my previous article on some of the SQL courses on LinkedIn.

Here are some quick links to the courses…

COURSESTUDENTS
1. SQL for Data Science298, 2244
2. IBM Data Science Professional Certificate199, 753
3. Databases and SQL for Data Science138, 066
4. Managing Big Data with MySQL135, 737
5. Excel to MySQL: Analytic Techniques for Business130, 140
6. Introduction to Structured Query Language (SQL)79, 251
7. Learn SQL Basics for Data Science Specialization34, 245
8. Introduction to Relational Database and SQL14, 548
9. Modern Big Data Analysis with SQL Specialization9, 623
10. Beginning SQL Server8, 033
11. Intermediate Relational Database and SQ5, 900

In these courses, I will take you through what you will learn in each course, the duration, the number of students.

Some of these courses also have subtitles in different languages which I will also mention along the way.

1. IBM Data Science Professional Certificate

Data Science has been ranked as one of the hottest professions, and the demand for data practitioners is booming

This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.

If you are interested in knowing other Machine Learning languages you can use for learning, check out my other article on Machine Learning languages.

This program on Coursera consists of 9 courses providing you with the latest job-ready skills and techniques covering a wide array of data science topics including: 

  • Open-source tools and libraries
  • Methodologies
  • Python
  • Databases
  • SQL
  • Data visualization 
  • Data analysis
  • Machine learning

You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.

This course is suitable for anyone who has some computer skills and a passion for self-learning

The good news is that no prior computer science or programming knowledge is necessary. 

The course starts by re-enforcing applied learning and builds up to more complex topics.

Upon successful completion of these courses, you will have done several hands-on assignments…

And built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. 

In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.

This professional certificate has a strong emphasis on applied learning. 

Except for the first course, all other courses include a series of hands-on labs and are performed in the IBM Cloud for FREE

Throughout this course, you are exposed to a series of tools, libraries, cloud services, datasets, algorithms, assignments, and projects that will provide you with practical skills with applicability to real jobs that employers value, including:

Tools: Jupyter / JupyterLab, Zeppelin notebooks, R Studio, and Watson Studio

Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, Ipython-SQL, Scikit-learn, SciPy, etc.

Projects: random album generator, predict housing prices, best classifier model, the battle of neighborhoods.

Rating: 4.6 stars (Ratings).

Students Enrolled: 199, 753.

Level: Beginner.

Duration: 10 months.

Language: English.

Subtitles: English, Russian, Korean, Persian, Vietnamese, German, Arabic, Turkish.

2. SQL for Data Science

This SQL course on Coursera is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes.

You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization.

The course starts with the basics and assumes that you do not have any knowledge or skills in SQL.

It builds on that foundation and gradually you have to write both simple and complex queries to help you select data from tables… 

And that’s the main reason why I chose this course as one of the best courses on Coursera.

  • You’ll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. 
  • The course will teach you how to create new tables and you’ll be able to move data into them. 
  • You will learn common operators and how to combine the data.
  • In addition, you’ll use case statements and concepts like data governance and profiling. 
  • You will discuss topics on data, and practice using real-world programming assignments. 
  • But that’s not all, you will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. 

The only disadvantage of this course is that it does not have any specific basic or software requirements.

But you can always use a simple text editor for the final project.

Rating: 4.6 stars (6, 295 ratings).

Students enrolled: 298, 244.

Level: Beginner.

Duration: 14 hours.

Language: English.

Subtitles: English.

3. Managing Big Data with MySQL

This course on Coursera is an introduction to how to use relational databases in business analysis.

In this course, you will learn how to use entity-relationship diagrams to display the structure of the data held with them.

This knowledge will help you understand how data needs to be collected in business contexts… 

And help you identify the features you want to consider if you are involved in implementing new data collection efforts.

You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice them with real databases.

This course ensures that you are able to get data by yourself and you won’t need to wait for anyone else.

By the end of this course, you will have a clear understanding of how relational databases work and have a portfolio of queries that you can show potential employers.

Rating: 4.7 stars (3, 146 ratings)

Students Enrolled: 135, 737.

Level: Beginner.

Duration: 41 hours.

Language: English.

Subtitles: Chinese (Simplified), Vietnamese, Korean, Russian, English,

Spanish.

4. Databases and SQL for Data Science

Much of the world’s data resides in databases

SQL (or Structured Query Language) is a powerful language that is used for communicating with and extracting data from databases. 

Working knowledge of SQL and databases is a must if you want to become a data scientist.

The purpose of this SQL course on Coursera is to introduce relational database concepts… and help you learn and apply foundational knowledge of the SQL language. 

It is also intended to get you started with performing SQL access in a data science environment.  

The emphasis in this course is on hands-on and practical learning

And as such, you will work with real databases, real data science tools, and real-world datasets. 

You will also create a database instance in the cloud. Through a series of hands-on labs, you will practice building and running SQL queries. 

Additionally, you will learn how to access databases from Jupyter notebooks using SQL and Python.

No prior knowledge of databases, SQL, Python, or programming is required.

Anyone can audit this course at no-charge

If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon the successful completion of the course.

Rating: 4.7 stars ( 11, 656 ratings).

Students Enrolled: 138, 066.

Level: Beginner.

Duration: 14 hours.

Language: English. 

Subtitles: English, Korean, Arabic.

5. Excel to MySQL: Analytic Techniques for Business

Formulate data questions, explore and visualize large datasets, and inform strategic decisions.

In this Specialization course on Coursera, you’ll learn to frame business challenges as data questions

You will use powerful tools and methods such as Excel, Tableau, and MySQL to:

  • Analyze data
  • Create forecasts models
  • Design visualizations
  • Communicate your insights 

In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.

The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. 

Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. 

The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.

This makes this course another best SQL course on Coursera.

Rating: 4.6 stars (16, 197)

Students Enrolled: 130, 140.

Level: Beginner.

Duration: 7 Months.

Language: English.

Subtitles: English, Korean, Arabic, Chinese (Simplified), Vietnamese, Russian, Spanish.

6. Introduction to Structured Query Language (SQL)

In this course, the instructor will take you through:

  • Installation steps for installing a text editor 
  • Installing MAMP or XAMPP (or equivalent) 
  • Creating a MySql Database

You’ll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. 

Lastly, you’ll learn to model many-to-many relationships like those needed to represent users, roles, and courses… which makes it another best SQL course on Coursera.

Rating: 4.8 stars (2, 926 ratings).

Students Enrolled: 79,251. 

Level: Intermediate.

Duration: 16 hours.

Language: English.

Subtitle: English, Korean, Serbian.

7. Learn SQL Basics for Data Science Specialization

This Specialization course on Coursera is intended for a learner with no previous coding experience seeking to develop SQL query fluency. 

Through four progressively more difficult SQL projects with data science applications, you will cover topics such as: 

  • SQL basics, 
  • Data wrangling, 
  • SQL analysis, 
  • AB testing, 
  • Distributed computing using Apache Spark, and more. 

These topics will prepare you to apply SQL creatively to analyze and explore data, demonstrate efficiency in writing queries, create data analysis datasets… 

Conduct feature engineering, use SQL with other data analysis machine learning toolsets, and use SQL with unstructured data sets.

And that’s qualifying this course as one of the best courses on Coursera.

Rating: 4.1 stars (6, 662 ratings).

Students: 34, 245.

Level: Beginner.

Duration: 4 months.

Language: English.

Subtitles: English.

8. Introduction to Relational Database and SQL

In this guided project on Coursera, you will get hands-on experience working with a relational database using MySQL Workbench from Oracle. 

The basic knowledge you learn in this best selling course will allow you to work with any other relational database.

At the end of this project, you will be able to create a billing report and a club member roster.

In addition, the instructor takes you step-by-step through the course.

In a video that plays in a split-screen with your work area, the instructor will walk you through the following steps:

  • Know what tables are and write basic SELECT statements
  • Use wildcard characters for pattern matching, and sort query results
  • Add data to a database with INSERT statements
  • Delete data from a database with DELETE statements
  • Join tables together to produce meaningful reports

Rating: 4.5 stars ( 1, 007 ratings)

Students Enrolled: 14, 548.

Level: Beginner.

Duration: 60 minutes.

Language: English.

Subtitles: English.

9. Modern Big Data Analysis with SQL Specialization 

This Specialization on Coursera teaches you the essential skills for working with large-scale data using SQL.

Maybe you are new to SQL and you want to learn the basics.

Or maybe you already have some experience using SQL to query smaller-scale data with relational databases.

Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.

Most courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there… and it’s growing too quickly to be efficiently stored in commercial data warehouses. 

Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.

To query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like:

  • Hive
  • Impala 
  • Presto
  • Drill 

These are open-source SQL engines capable of querying enormous datasets. 

This course focuses on Hive and Impala, the most widely deployed of these query engines.

The Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. 

You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches: Hive and Impala.

Rating: 4.8 stars (869 ratings).

Students Enrolled: 9, 623 enrolled.

Level: Beginner.

Duration: 4 months.

Language: English.

Subtitles: English.

10. Beginning SQL Server

In this 1-hour long project-based course on Coursera, you will learn how to perform core job-related tasks within the SQL Server Management Studio (SSMS) environment

You will use the tools in SSMS to automatically generate queries, manage security permissions, create dependent scripts, and create and backup a database. 

But that’s not all, you will also get hands-on practices performing these tasks using real data in a SQL Server Database.

In a video that plays in a split-screen with your work area, your instructor will walk you through the following steps:

  • Learn to execute the USE statement to switch databases.
  • Create and then delete our very own database.
  • Create a new table in your database.
  • Add columns to your table in your database.
  • Manage security permissions on databases.
  • Create scripts that that delay other scripts from executing
  • Execute two queries simultaneously
  • Backing up your Database.
  • Intermediate Relational Database and SQL

Hence, making it another best SQL programming course on Coursera.

Rating: 4.5 stars ( 484 ratings)

Students Enrolled: 8, 033.

Level: Beginner.

Duration: 90 minutes.

Language: English.

Subtitles: English.

11. Intermediate Relational Database and SQ

In this course, you will gain hands-on experience and learn how to create and maintain relational databases such as MySQL, Oracle, and MS Access. 

The concepts covered include database, table creation, primary keys, and foreign keys.

If you have some experience with end-user level SQL and want to advance to a designer or database administrator role, this course is for you!

Note: taking the course “Introduction to Relational Database and SQL” before taking this course is highly recommended. 

Especially if you do not have any previous experience with relational databases and SQL.

The instructor takes you step-by-step through the course, making it easier to understand each concept and that’s why it’s in the list of the best SQL courses on Coursera.

This course on Coursera gives you a video that plays in a split-screen with your work area, while the instructor walks you through the following steps:

  • User interface orientation
  • Preview finished products
  • Creating and dropping databases
  • Dropping tables
  • Creating and dropping primary keys
  • Dropping and creating indexes
  • Creating and dropping foreign keys
  • Testing and creating technical documentation

News flash! this is a FREE course.

Rating: 4.5 stars (280 ratings).

Students Enrolled: 5,900.

Level: Intermediate.

Duration: 60 minutes.

Language: English.

Subtitles: English.

Conclusion

The boom of web-connected devices has exponentially increased the amount of data to process and manage, creating strong growth in database management jobs. 

SQL developers and administrators enjoy competitive salaries and high levels of job security. 

Enroll in one of the best SQL courses on Coursera today and see if a career in database management and administration is right for you.

The courses in this article are suitable for you since they are self-paced and introductory.

Have you taken any of these best SQL training courses on Coursera before?

If yes, please share your experience in the comments below.

Lerma Gray

Hey, I’m Lerma, a freelance tech writer and blogger. On this blog, I write about the best courses and tutorials for learning app development and other tech skills.

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