8 Best FREE Big Data Courses Online You Must Know in 2024

Are you looking for the Best FREE Big Data Courses?… If yes, then this article is for you. In this article, you will find the 8 Best FREE Big Data Courses. All the courses are free and you don’t need to pay for any course.

So without any further ado, let’s get started-

Best FREE Big Data Courses

1. Intro to Hadoop and MapReduce– Udacity

Time to Complete- 1 Month

This is a completely Free Course to understand the concepts of HDFS and MapReduce. In this course, you will learn what is big data, the problems big data creates, and how Apache Hadoop addresses these problems.

This course will also help you to discover how HDFS distributes data over multiple computers and how MapReduce enables analyzing datasets in parallel across multiple machines.

In this course, you will also learn how to write your own MapReduce code and how to use common patterns for MapReduce programs to analyze Udacity forum data.

You Should Enroll if-

• You have basic programming skills in Python.

Interested to Enroll?

If yes, then start learning- Intro to Hadoop and MapReduce

2. Big Data and Hadoop Essentials– Udemy

Rating- 4.2/5

Time to Complete- 43min 

This Free course is good for understanding the big data basics such as the history of Hadoop, major players and vendors( Cloudera, MapR, and Hortonworks) of Hadoop, Hadoop Magic, the difference between Data science and data engineering.

This is a beginner-level course for those who want to understand the fundamentals of Big Data and Hadoop.

You Should Enroll if-

• You are a beginner.

Interested to Enroll?

If yes, then check out all details here- Big Data and Hadoop Essentials

3. Spark– Udacity

Time to Complete- 10 hours

This is another completely Free Course to learn how to use Spark to work with big data and build machine learning models at scale, including how to wrangle and model massive datasets with PySpark. PySpark is a Python library for interacting with Spark.

Throughout this course, you will understand the big data ecosystem and learn when to use Spark and when not to use it. This course will also teach Data Wrangling with Spark, Debugging, and Optimization.

You will also use Spark’s Machine Learning Library to train machine learning models at scale.

You Should Enroll if-

• You are a student with programming and data analysis experience.

Interested to Enroll?

If yes, then check out all details here-Spark

4. Introduction to Big Data– Coursera

Rating- 4.6/5

Time to Complete- 17 hours

This is a Free to Audit course on Coursera. That means you can access the course material free of cost but for the certificate, you have to pay.

In this course, you will understand the Big Data landscape including examples of real-world big data problems and the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis, and reporting.

You will also identify what are and what are not big data problems and be able to recast big data problems as data science questions.

This course will summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system, and the MapReduce programming model.

You Should Enroll if-

• You are new to data science and want to learn Big Data.

Interested to Enroll?

If yes, then check out all details here- Introduction to Big Data

5. Introduction to Big Data with Spark and Hadoop– Coursera

Rating- 4.4/5

Time to Complete- 11 hours

This is a Free to Audit course on Coursera. That means you can access the course material free of cost but for the certificate, you have to pay.

In this course, you will learn the characteristics of Big Data and its application in Big Data Analytics. This course will provide an understanding of the features, benefits, limitations, and applications of some of the Big Data processing tools.

Then you will explore how Hadoop and Hive help leverage the benefits of Big Data while overcoming some of the challenges it poses.

You will also learn about the functions, parts, and benefits of Spark SQL and DataFrame queries, and discover how DataFrames work with SparkSQL.

At the end of this course, you will learn Resilient Distributed Datasets (RDDs), their uses in Apache Spark, and RDD transformations and actions.

You Should Enroll if-

• You have programming background with languages such as with Python and SQL.

Interested to Enroll?

If yes, then check out all details here-Introduction to Big Data with Spark and Hadoop

6. Data Wrangling with MongoDB– Udacity

Time to Complete- 2 months.

This is a completely Free Course to explore how to wrangle data from diverse sources and shape it to enable data-driven applications.

This course will cover Data Extraction Fundamentals, Complex Data Formats, and a Blueprint for Cleaning.

In this course, you will perform data Modelling in MongoDB and learn Aggregation Operators: $match, $project, $unwind, $group.

You Should Enroll if-

• You have Programming experience in Python and looking to leverage big data.

Interested to Enroll?

If yes, then check out all details here- Data Wrangling with MongoDB

7. Big Data Analytics in Healthcare– Udacity

Time to Complete- 2 months.

This Free Course will cover the characteristics of medical data and associated data mining challenges in dealing with such data. You will learn various algorithms and systems for big data analytics. 

You will also focus on studying those big data techniques in the context of concrete healthcare analytic applications such as predictive modeling, computational phenotyping, and patient similarity. 

This course will also cover Big Data Technologies such as MapReduce, Spark, and Hadoop.

You Should Enroll if-

• You know basic machine learning and data mining concepts such as classification and clustering, and have proficient programming and system skills in Python, Java and Scala.

Interested to Enroll?

If yes, then check out all details here-Big Data Analytics in Healthcare

8. Fundamentals of Big Data– Coursera

Rating- 4.4/5

Time to Complete- 12 hours

This is a Free to Audit course on Coursera. That means you can access the course material free of cost but for the certificate, you have to pay.

In this course, you will learn about core concepts of big data, including working with large data sets, big data strategies, and big data technologies.

Then you will learn about the primary characteristics of a big data system, including volume, velocity, and variety.

At the end of this course, you will learn about the phases of a big data project, including data ingestion, data persistence, computing and analysis, and data visualization.

You Should Enroll if-

• You have basic knowledge of computers and want to learn the funndamentals of Big Data.

Interested to Enroll?

If yes, then check out all details here– Fundamentals of Big Data

That’s all!

These are the 8 Best FREE Big Data Courses. Now, it’s time to wrap up.

Conclusion

I hope these 8 Best FREE Big Data Courses will help you to learn Big Data. My aim is 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.

All the Best!

Happy Learning!

Thank YOU!

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Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden