Are you looking for Best Free Online Data Analytics Courses? If yes, then this article is for you. In this article, you will find the 7 Best Free Online Data Analytics Courses from various platforms. These free data analytics courses will help you to learn data analytics free of cost. All courses are completely free.

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So give a few minutes and find out the best free online data analytics course for you. Now without any further ado, let’s get started-

Best Free Online Data Analytics Courses

Table Of Contents

1. Intro to Data Analysis- Udacity

2. SQL for Data Analysis- Udacity

3. Bayesian Statistics: From Concept to Data Analysis- Coursera

4. Data Analysis with R- Udacity

5. Exploratory Data Analysis in Python- DataCamp

6. Data Analysis and Visualization- Udacity

7. Python for Data Analysis- Udemy

1. Intro to Data Analysis- Udacity

This Intro to Data Analysis is a completely free course to learn Data Analytics. When I enrolled in this course for checking its content, I found that this course has 3 courses and 1 project.

Usually, you will not find a project in free courses. But this course has 1 project on investigating a dataset. You have to analyze the given dataset and after analyzing you have to showcase your findings.

Throughout this course, you will learn the data analysis process, and the popular Python libraries Pandas and NumPy. After checking its content, I can say this course is good for beginners who want to gain a basic understanding of the data analysis process.

Drawback-

• You will not receive a certificate after completing the course.

You Should Enroll if-

• You are comfortable in Python programming.

Interested to Enroll?

If yes, then start learning- Intro to Data Analysis

2. SQL for Data Analysis- Udacity

This SQL for Data Analysis course is also completely free and teaches SQL for Data Analysis. SQL is used for managing data and if you want to learn or brush up on your SQL skills, this is the best course.

In all these courses, I enrolled and then check their content quality. So, when I enrolled in this course, I found that this is an in-depth course and has 7 lessons.

The first lesson covers SQL basics such as Why SQL is essential, Types of Statements, SELECT & FROM, LIMIT, ORDER BY, WHERE, Arithmetic Operators, and many other topics.

The next two lessons cover SQL Joins and Aggregations.

Subqueries, Table Expressions, and Persistent Derived Tables are also covered in this course. After that, the instructor Derek Steer explains how to clean the data using SQL and advanced SQL such as SQL window function, Advanced Joins, and Performance Tuning.

Overall, without paying any course fee, this course will cover SQL in detail.

Drawback-

• This course will not provide a certificate of completion.

You Should Enroll if-

• You have a general familiarity with working with data in spreadsheets.

3. Bayesian Statistics: From Concept to Data Analysis– Coursera

This Bayesian Statistics: From Concept to Data Analysis is a Free to Audit course offered by the University of California, but this course is not for beginners.

To audit this course for FREE, click on the “Enroll for FREE” button. And new popup will appear where they will provide payment details, but at the bottom, you will see an option “Audit the Course”. Click on it. And you will be redirected to the course material.

When I audited the course for free to check its content quality, I found that they have divided the course into a 4-week plan.

In the first week’s plan, they cover Probability basics and Bayes Theorem. You will also learn Bernoulli and binomial distributions this week.

I don’t know why they divided it into 4 weeks because the videos are not very long. Most of the videos are 6–10 minutes.

The next week, you will learn Statistical Inference. This course uses R Programming instead of Python. There is a separate video on R Programming introduction.

In the third week, you will learn Priors and Poisson Data. In the last week, they explain Linear Regression.

Drawback-

• If you audit this course for free, they will lock the quizzes and assignments. Only course material is available for free.

You Should Enroll if-

• You should have prior knowledge of basic statistics class (for example, probability, the Central Limit Theorem, confidence intervals, linear regression) and calculus (integration and differentiation).

Interested to Enroll?

If yes, then start learning- Bayesian Statistics: From Concept to Data Analysis

4. Data Analysis with R- Udacity

Rating-NATime to Complete–2 MonthsBest For-Intermediate

This Data Analysis with R is an intermediate-level free course to learn data analysis using R programming. I found that Udacity FREE courses don’t lack in quality compared to other platforms’ free courses.

This course has 9 lessons and 1 project. The course begins with EDA (exploratory data analysis) Basics. The instructor explains why you need to learn EDA and the goals of EDA.

After that, there is a separate lesson on R Programming basics. This is not a very detailed explanation of R Programming but explains how to install RStudio on Mac and Windows, RStudio Layout, Demystifying R, R Markdown Documents, etc.

The next six lessons are on exploring one variable, two variables, and multiple variables. Problem sets are also included after each lesson.

Then, there is one case study on Diamonds & Price Predictions where the instructor showcases how to use a linear regression model to predict diamond prices. This lesson might be tough for you if you don’t have previous statistical knowledge.

At the end of this course, there is one project, where you have to use R Programming and perform exploratory data analysis for exploring relationships in one variable to multiple variables.

As this course is free, that’s why the project feedback feature is locked. That means you have to finish the project by yourself.

Drawback-

• Doesn’t provide a certificate.

You Should Enroll if-

• You have prior knowledge of statistics.

Interested to Enroll?

If yes, then start learning- Data Analysis with R

5. Exploratory Data Analysis in Python– DataCamp

Rating-NATime to Complete–4 hoursBest For-Intermediate

In DataCamp, full courses are not free. Only the first lesson of all courses is free. Similarly, in this Exploratory Data Analysis in Python course, you will get access to its first lesson free of cost. So, in the first lesson of this course, you will learn how to read the data, check for errors and special cases, and prepare data for analysis.

This first lesson will help you to understand the process of Data Cleaning. You can watch this free lesson as a YouTube tutorial, but this one lesson will not be enough to understand data analytics in detail.

I don’t like this feature of DataCamp. They should either give a full course for free or lock the full course. But, we can’t do anything, so you can check the first lesson of this course and if you find it useful, you can go for a DataCamp subscription. It’s totally up to you.

Drawback-

• Very few learning materials are available for free.

You Should Enroll if-

• You have prior Python knowledge.

Interested to Enroll?

If yes, then start learning- Exploratory Data Analysis in Python

6. Data Analysis and Visualization- Udacity

Rating-NATime to Complete–16 WeeksBest For-Intermediate

This Data Analysis and Visualization is another free course for learning data analysis and visualization. This course requires some previous understanding of math and statistics. This course is not for beginners.

There are 13 lessons in this course. Guy Lebanon is the instructor of this course. He has 20+ years of experience in the field. He uses R Programming Language in this course.

First, you will learn the basics of R Programming. This course covers R Programming basics in detail. You will also understand the R, Python, and Matlab Similarities and Differences.

After learning R Programming basics, you will learn how to visualize and process the data. The instructor also explains Linear Regression and Logistic Regression.

The lesson of this course is Regularization. In this Regularization, you will learn the Goldilocks Principle, Maximum Likelihood Estimator, Mean Squared Error, James Stein Shrinkage, Breiman’s Garrote, Ridge Regression, Lasso Estimator, and many more technical terms.

Throughout this course, there are various quizzes and exercises. This course also has Netflix Interview series.

Drawback-

• Doesn’t provide a certificate of completion.

You Should Enroll if-

• You have prior programming experience and are familiar with mathematics (basic linear algebra, calculus, introductory probability).

Interested to Enroll?

If yes, then start learning- Data Analysis and Visualization

7. Python for Data Analysis- Udemy

Rating-4.6/5Time to Complete–1hr 10minBest For-Intermediate

In Python for Data Analysis course, there are 12 lectures. This is not a very detailed course. The first section of this course is all about the course intro with 3 minutes videos.

The next section is on Data Processing, where you will learn how to work with Numpy and Pandas. This section has 4 lectures of 33 minutes.

In the last section, you will learn about Data Visualization and understand how to plot with Matplotlib and Seaborn. This section is shorter than section two. There are 3 lectures of 23 minutes.

If I compared all the listed courses, this is the thinnest course on the list. But I liked the enthusiasm and method of explanation of the instructor.

Drawback-

• Very basic course.

You Should Enroll if-

• You have prior knowledge of Python programming.

Interested to Enroll?

If yes, then start learning- Python for Data Analysis

That’s all!

These are the 7 Best Free Online Data Analytics Courses.

Comparison of FREE Data Analytics Courses

S/NCourse NameRatingBest ForTime to Complete1.Intro to Data Analysis– UdacityNABeginners6 Weeks2.SQL for Data Analysis– UdacityNABeginners4 Weeks3.Bayesian Statistics: From Concept to Data Analysis– Coursera4.6/5Intermediate12 hours4.Data Analysis with R– UdacityNAIntermediate2 Months5.Exploratory Data Analysis in Python– DataCampNAIntermediate4 hours6.Data Analysis and Visualization– UdacityNAIntermediate16 Weeks7.Python for Data Analysis– Udemy4.1/5Intermediate1hr 10min

Which Course do I Recommend?

I have enrolled in all these 7 courses just for checking the content, I would suggest Intro to Data Analysis by Udacity for beginners. This course will provide basic fundamentals of data analytics and the project covered in the course will be beneficial for your Resume.

And for intermediate learners, who already knew some statistics and Programming knowledge, I would suggest Data Analysis with R by Udacity. In this course, you will work on 1 case study and 1 project.

But if you don’t want to learn R Programming, then you can check Exploratory Data Analysis in Python by DataCamp. The problem with this course is that the full course is not free. Only the first lesson is free.

Now, it’s time to wrap up.

Conclusion

I hope these 7 Best Free Online Data Analytics Courses will help you to learn data analytics. I aim to provide you with the best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.

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