Updated at: 05-04-2023 - By: Eden Wise


Do you want to find the most reputable data analytics course without spending a dime? If so, then you should pursue one of the data analytics credentials we discussed here.

You can boost your resume, advance your career, and increase your earnings with a data analytics certification. What’s even better? The certification is free of charge.

Many great, free online resources are available for learning data analytics; some of these resources even offer certification.

In order to draw conclusions from the information contained in data sets, data analytics is performed, and increasingly so with the aid of specialized systems and software.

Commercial industries rely heavily on data analytics technologies and techniques to help businesses make better decisions, while academic institutions use them to test the veracity of their hypotheses and theories.

To help you advance your career and skillset, this article compiles a list of the top free certifications currently available. We have included both full-length online universities and standalone certification courses. But before we dive in, there are some things you should know.

Best Free Data Analytics Certification

Best free data analytics certification

Data Analytics Short Course (CareerFoundry)

If you just need a quick primer on data analytics, the five-lesson free course offered by CareerFoundry is for you. By signing up, you’ll have access to five practical, 15-minute lessons, each devoted to a different part of the data analytics process. The course gives you a high-level overview of data analytics and prepares you to dive deeper into the field if you so desire. Take a look at this video to see how the condensed version of the course performs.

There are no surprises with this course, making it a great choice for beginners who don’t want to feel pressured. You can expect to get some hands-on experience with the fundamentals of data analysis in addition to learning about the various data analytics roles and a summary of the tools and skills you’ll need to develop if you decide to pursue a career in the field.

Learn to Code for Data Analysis (OpenLearn)

Learn to Code for Data Analysis (OpenLearn)

The Open University in the United Kingdom offers a free online learning platform called OpenLearn that features courses in a wide variety of disciplines, including data analytics. Many of OpenLearn’s courses are available at no cost, and they have a well-deserved reputation for excellence. Why not learn to code once you’ve mastered the fundamentals?

Learn to Code for Data Analysis is an eight-week, free coding course offered by OpenLearn that will teach you the fundamentals of programming and data analytics. By the end of the course, you’ll be able to write basic analytical algorithms in a programming language. A certificate of completion and interactive exercises are included in this no-cost offering.

Introduction to Data Analytics, offered by IBM (Coursera)

Coursera is a platform that primarily provides paid courses through collaborations with educational institutions, businesses, and other training providers. The courses are not all created equal, but there is a free seven-day trial period to give them a try. Courses like IBM’s Introduction to Data Analytics, which is aimed at complete novices, can be finished in this amount of time.

This course introduces students to the field of data analysis and the tools that are essential to their work. If you’re looking for something more in-depth, you can choose from thousands of other resources, such as Python for data analysis or probability and statistics. Keep in mind, though, that after your free week is up, you’ll have to pay a subscription fee. Take care when deciding on a free course.

Introductory Data Science Courses (Dataquest)

In conclusion, Dataquest. They provide a wide range of practical data science courses and are another provider worth considering. Dataquest offers some of its content for free, including practice problems, even though the service requires a monthly subscription.

Courses are helpfully organized along career and skill tracks (as well as by programming language) to facilitate specialized learning. In order to remove advertisements or receive a completion certificate, however, a subscription fee is required.

Courses range from an introduction to SQL and databases to R data structures and Python for data science. There ought to be enough to get you going.

Data Science with Python

Data Science with Python

Improve your career prospects by learning all about data analytics in the Data Science with Python course. Data science is the most in-demand field of the information age, and Python is an absolute must for anyone serious about a successful career in the field. Essential knowledge in areas such as data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing can be acquired through taking a course in data science with Python. Skillup’s free data science course can help you launch a successful data scientist career.

Data Science with R Programming

This free Data Science course was created by industry experts to help you learn the fundamentals of R programming and Data Science at your own pace. Get the hands-on experience in data exploration, data structures, and data visualization that will help you land a job in the data science field.

Experts in data science who are fluent in both business and information technology are in high demand in organizations of all stripes.

Tableau Training

This free Tableau course will teach you everything you need to know to start using Tableau like a pro, from the absolute basics to more advanced techniques. Tableau, developed by Tableau software, is widely used in the fields of data visualization, reporting, and business intelligence. Sign up now to find out how to create effective dashboards, organize data, and design reports for business intelligence.

Complete the free Tableau training course to stand out to top employers and acquire valuable new skills. When you’re done with Tableau training, you might want to enroll in the Data Scientist Master’s Program at Simplilearn.

Introduction to Data Science

Introduction to Data Science

The Data Science Free Course for Beginners is a popular resource for learning the fundamentals of the field and getting a feel for what it will take to succeed as a data scientist in the year 2023. The best Python libraries, some essential Data Science algorithms, the most desirable Data Science careers, skill sets, and salary trends are just some of the topics covered in this comprehensive course.

Business Intelligence Fundamentals

Take advantage of our no-cost online Business Intelligence Course to learn the fundamentals of this rapidly growing field and give yourself a leg up in your chosen profession. Data-driven decisions are made easier with the aid of business intelligence, which is built on the foundation of business analytics, data mining, data visualization, and infrastructure. This course will introduce students to business intelligence (BI), its terminology, the functions of various BI tools, and the industry’s best practices.

After completing this course, you’ll be qualified for a variety of BI-related jobs and can further your career prospects by enrolling in Power BI Certification Training Course.

SQL for Data Analysis – Udacity

This free SQL for Data Analysis course is another option for learning the language. If you’re interested in learning or refreshing your knowledge of SQL, this is the best course available.

I enrolled in each of these classes in order to evaluate their material. As a result of my enrollment, I learned that there are a total of seven lessons in this course.

Topics like “Why SQL is essential,” “Types of Statements,” “SELECT & FROM,” “LIMIT,” “ORDER BY,” “WHERE,” and “Arithmetic Operators” are all covered in the first lesson.

SQL Joins and Aggregations are the subjects of the next two classes.

This course also goes over Persistent Derived Tables, Table Expressions, and Subqueries. Data cleansing techniques using basic and advanced SQL, including the SQL window function, Advanced Joins, and Performance Tuning, are then covered by instructor Derek Steer.

In sum, you can learn SQL in great depth in this course at no cost to you.

Exploratory Data Analysis in Python– DataCamp

Complete courses in DataCamp do not come at no cost. All courses only offer a free trial for the first session. The first lesson of this course on exploratory data analysis with Python is also provided at no cost. In this first lesson, you’ll learn data literacy skills like reading the data, checking for errors and special cases, and setting up the data for analysis.

This introductory course will teach you about the steps involved in the Data Cleaning procedure. This lesson is available for free as a YouTube tutorial, but keep in mind that it won’t give you a thorough grounding in data analytics on its own.

This is one DataCamp feature I really dislike. Either the entire course should be made available for free, or it should be password protected. We’re helpless in this situation, but if you find the first lesson helpful, you can consider signing up for a DataCamp account. The choice is entirely yours.

Python for Data Analysis – Udemy

There are 12 lessons in the Python for Data Analysis course. The level of detail in this course is low. This course begins with an introduction video that plays every three minutes.

In the following chapter, “Data Processing,” you’ll get the hang of using tools like Numpy and Pandas. There are four 33-minute lectures in this section.

Data visualization and familiarity with the plotting libraries Matplotlib and Seaborn are covered in the final chapter. In comparison to the second section, this one is briefer. There are three 23-minute long lectures.

This course is the leanest option among those that were provided. However, the instructor’s energy and style of teaching were both things I appreciated.

Google Analytics Academy — Google Analytics for Beginners

Your website’s data can be analyzed for free with Google’s free service, Google Analytics.

Google Analytics’ data is very helpful for learning about visitors’ behavior on your site.

It tells you things like which pages users visit, how long they stay on those pages, where those users are located geographically, and much more.

In a short amount of time, you can use this data to enhance your website’s functionality and your visitors’ overall experience.

The Digital Analytics Fundamentals certification is highly sought after in the field of digital marketing. This seminar introduces students to the fundamentals of digital analytics as they apply to different types of advertising media.

To earn a free data analytics credential, you must complete a course. Courses are available for players of all skill levels, from beginners to veterans.

Data Analytics Short Course (CareerFoundry)

Data Analytics Short Course (CareerFoundry)

The free data analytics certification short course on CareerFoundy is great if you just want a quick overview of the field.

Upon registration, you will gain access to five 15-minute practical classes, each devoted to a different step in the data analytics procedure. This course provides an introduction to data analytics and sets the stage for more in-depth study if desired.

This is a great low-stakes option for complete newcomers because there are no surprises with the cost, unlike many of the courses on our list.

You can expect to gain practical experience with the foundations of data analytics, and the course covers everything from the different types of data analytics roles to a review of the tools and abilities you’ll need to build if you want to pursue a career in the field.

If you like what you see in the introductory course, you can continue your education with a paid, in-depth program that will take you from zero experience to qualified for a data analyst position, all with the security of the CareerFoundry Job Guarantee.

Online Data Science Courses (Harvard University)

Have you ever fancied showing off that you went to Harvard? This is your time to shine! EdX hosts many free data analytics courses from Harvard University. Learn about a variety of related topics, including data science, linear regression, and machine learning.

These courses are designed for those who already have some familiarity with the subject matter, but they cover a wide range of niche areas and go into much greater depth than most free courses.

The only drawback is that most of them require a considerable time commitment, such as a few hours per week for several weeks rather than a crash course in a few hours or days. A completion certificate is available for an additional fee.

But if your only goal is to hone your skills, this can still work for you.


What are the types of Data Analytics?

Data analytics can be broken down into four distinct categories: descriptive, diagnostic, predictive, and prescriptive. The “what happened” question is addressed by descriptive analytics. The goal of diagnostic analytics is to find out what went wrong and why. Predictive analytics is an interdisciplinary field that analyzes current data to predict future outcomes using methods from data mining, statistics, modeling, machine learning, and artificial intelligence. The next step beyond descriptive analytics, prescriptive analytics prescribes an action or decision.

What should you look out for in a free data analytics course?

Interactive exercises always remain in one’s memory more effectively than reading theory alone. Find a class that has interesting and substantial content. You don’t want a course that’s too advanced for novices, but you also don’t want one that’s too broad to be of any use to you. Finally, if you take a free or low-cost data analytics course, you should feel more prepared to continue your education.

Can I learn Data Analytics on my own?

Concepts can be learned independently with the help of online learning platforms. Students can study at their own pace and for free with the help of Great Learning Academy’s Data Analytics courses.

Is it worth learning Data Analytics?

Data analytics is a skill that should be learned. The field of data analytics is rapidly expanding, with numerous promising uses and job prospects. The insights gleaned from data analytics help businesses refine their strategies, spot emerging patterns, and boost their productivity. Gaining proficiency in data analytics can help you break into a number of different fields and give you an edge in the competitive job market.

Why take Data Analytics courses from Great Learning Academy?

Great Learning, the preeminent e-Learning platform, has taken the initiative to provide free, high-quality courses in a variety of fields through Great Learning Academy. These free Data Analytics courses cover a wide range of topics, from complete beginners to more advanced students.


In sum, many of the paid data analytics certification programs offer comparable perks and cover similar ground.

That’s because they have to contend with a glut of other, analogous offerings.

However, there is a lot of variety in free data analytics certification programs. Since they aren’t vying for your business, they can better meet the needs of individual students. But before enrolling, make sure the topics covered are relevant to your goals. Sometimes the topics covered in shorter courses are narrower.

Find something that piques your interest.