Best Big Data Courses Online (2020)

More than ever before, data gathering and analysis has become a priority across industries. This has pushed up the demand for Big Data professionals. According to a report by Cisco, there are about 40% of companies lacking Big Data experts.

A prediction by IBM already stated that the demand for Big Data scientist will increase by 2020. If you are going to take advantage of this gap, the time is now.

That is not to even consider the salaries of Big Data experts, which according to Glassdoor averages at $102,864 annually. They are one of the best paid digital marketing professionals.

The dilemma is how you can break into this industry? That is not difficult, just equip yourself with the right knowledge and information.

To help you, we have identified online courses that can give your big data career a push:

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Rating 4.3 out of 5

There is immense value in data sets and it is through this course that you will learn to unlock it.

With the goal to help students make better business decisions by taking them through the process of data organization, analysis and interpretation. Being able to answer real life business problems with insights from data.

The course will reveal the following;

  • The tools and systems used by big data scientists and engineers
  • You will be guided through the basics of using Hadoop in addition to MapReduce, Pig, Hive and Spark.
  • The process of computing predictive models towards problem solving.

There is a lot of value in this course, which is already enrolled for by close to 60,000 participants.

Duration: 5 months, 8 hours weekly

Rating 4.6 out of 5

Let’s hope you have interest in big data and you are seeking to widen your knowledge base, then this course is what you need.

This is targeted at those who are new to the big data landscape with an eye for understanding the importance of big data to decision making. It reveals the core concepts, applications and systems of big data.

The course will help equip you with the following;

  • Help you understand the sources of big data
  • An explanation of the numerous types of big data and how they affect data collection, monitoring and interpretation.
  • Identify what counts as big data problem

You do not need programming knowledge to take on this course, just a passion to learn is required.

Duration: 3 weeks, 5 to 6 hours weekly

Not many are aware of the changes being driven by big data which is explicitly revealed in this course and how it is being done.

In this course, you will be equipped with the utilization of analytical tools and techniques. This will help in you sojourn into data mining and use of PageRank algorithm. Being a part of a Big Data MicroMasters course, you will understand how big data is driving change along with the challenges it poses.

You will learn the following;

  • The knowledge of utilization of MapReduce
  • The rate of occurrences in big data
  • Understanding and designing PageRank in data

The course instructors are some of the best Big Data minds at the University of Adelaide.

Duration of Course: 10 weeks

Platform: edX

There is no better way to kickstart your big data career than this. The course showcases routes to building big data solutions.

The aim of this course is to help you have an understanding of what it requires to develop big data analytics solutions. While you might have had an introductory knowledge into big data, this course takes you a step further into big data.

These are what you will learn in this course;

  • A knowledge of Microsoft Big Data curriculum and how it works
  • The course also introduces you to data formats, technologies and techniques
  • More importantly, it equips you with the fundamentals of databases
  • Lastly, the principles of utilizing big data.

Your instructor is an in-house big data expert at Microsoft.

Duration of Course: 3 weeks

Platform: EdX

Rating 4.5 out of 5

Don’t be intimidated by the title of the course, the purpose of the course is to help you break into the big data niche and be perfectly prepared.

In this course, you will master all of the big data technologies and how they work in synergy. This goes way beyond Hadoop, but into other distributed systems of big data.

The following are the lessons of the course;

  • How to design distributed systems using Hadoop in managing Big Data
  • Using Pig and Spark in creating scripts to process data
  • Lastly, analysis of relational data using Hbase.

These and many more are what you will be exposed to in this course already enrolled for by over 100,000 participants.

Duration: 14.5 hours

Rating 4.5 out of 5

The intent of this course is to help you be at home with some of the hottest tools and technologies in big data.

It puts you through the use of Apache Spark which is also used by eBay, Amazon, Yahoo and many other tech giants in making meaning out of huge datasets.

The course is about the following;

  • How to frame big data analysis problems as Apache Scripts
  • How to optimize Spark jobs through partitioning, and caching.
  • Building and deploying spark scripts on Hadoop clusters

Currently, there are close to 54,000 students who have enrolled for this course.

Duration of Course: 7.5 Hours

Rating 4.5 out of 5

Spark is the latest big data technology and you are better positioned for success in the field by going through this course.

If you are able to solve big data columns using Apache Spark, you’ll be one of the hottest minds Amazon, eBay, Facebook. Netflix, and others are looking for.

This course achieves the following;

  • How to use both Python and Spark in the analysis of Big data
  • How to use big data to mimic real life situations
  • Using Spark to create powerful models.

There is still a lot more to learn about Big Data and its technologies in this course.

Duration: 10.5 Hours


Today, Big Data has become a reliable means of gathering, extracting and interpreting massive amounts of data. No one is making use of traditional means of data analysis.

By undergoing any of these courses, you are positioning yourself for a successful career in Big Data.

Happy learning!