Online Big Data Training Courses Comparison

In recent years, Big Data has become a big deal for many firms operating in the IT world. It is put to work for gaining competitive advantage and maximizing revenues in almost every business domain ranging from internet and social media firms to manufacturing. As the need of leveraging big data has risen, so has the demand for the right talent who can derive insights out of the large volumes of data. Incidentally many details about consumer preferences towards various products and services are hidden in big data, and extracting such information could prove very valuable for many firms.

To meet the big data talent demand, many universities and training institutes have started offering online courses which caters to learning and working with Hadoop technologies. Apache Hadoop is the most preferred technology choice for firms trying to solve the big data problem. Broadly big data talent can be put under big data technologies and big data analytics roles. As the name suggests, big data technology roles deal mostly with setting up of required IT infrastructure either in the form of clusters or applications needed to store and process big data. Common names associated with these roles would be Hadoop Administrator and Hadoop Developer. Coming to big data analytics in India roles like Data Scientist and Big Data Analyst, these focus mostly on performing analysis and deriving insights from big data. These roles would also require knowledge on statistical and machine learning techniques to implement big data analytics projects.

In this article, we will try to look, compare and rank different big data analytics online courses being offered specifically from training institutes like Jigsaw Academy, Edureka, Simpli Learn and Learning Tree along with professional certifications offered by Cloudera and EMC. The comparisons are done based on 5 different metrics based on whether MapReduce programming concepts are being taught, knowledge provided on working with various Hadoop Components, coverage of methods to perform big data analysis, techniques covered for implementing Machine Learning algorithms and whether particular course has global level recognition.

First two metrics are related to concepts around Hadoop, MapReduce and Hadoop Components installation and setting up of a cluster with more hands on practice. As the core of big data analytics revolves around deriving insights from big data, and thus 3rd metric is related to performing data analysis on Hadoop using Pig, Hive and Impala and also using tools such as R, SAS, and Tableau. Fourth metric is about implementing advanced analytics projects on big data which depends on Mahout Knowledge and application of machine learning concepts on various business problems. As competition builds up, firms would be looking for ways to select the right fit and that’s where the last metric related to the global brand value of a particular certification comes into play. Higher the global recognition, the more chances you have to be considered for any big data analytics job. Of course, this is more useful when you are planning to make an entry into big data field and later on your experience will become the most critical factor while looking out for new jobs.

Below table showcases the coverage of each one of the mentioned 5 metrics across different big data analytics courses being offered by niche analytics and IT training institutes and their Ranking.

Course Name

Hadoop & MapReduce Hadoop Components Data Analytics Machine Learning Globally Recognized Certification Ranking

Jigsaw Wiley Certified Big Data Specialist

Yes Yes Yes No Yes


EMC2 Data Science and Big Data Analytics

Yes No Yes No Yes


Cloudera Data Analyst

Yes No Yes No Yes


Cloudera Introduction to Data Science

No No Yes Yes Yes


Edureka Big Data and Hadoop

Yes Yes Yes No No


Edureka Data Science

No No Yes Yes No


SimpliLearn Big Data and Hadoop Developer

Yes Yes No No No


Learning Tree Big Data Analytics


No Yes Yes


Learning Tree Big Data Analytics with Pig, Hive and Impala


No Yes No




Jigsaw Academy LogoJigsaw Academy Wiley Certified Big Data Specialist Course

This big data certification course provides training on Hadoop and its components such as Hive, Pig HBase, Sqoop and Flume to process and analyze large amounts of data. It also covers cluster installation aspects of Hadoop along with its components and trains students on Java based MapReduce programming. Apart from Hadoop concepts, it has modules on various phases of Analytics project life cycle like problem definition, data preparation, data exploration, and data analysis. All of these concepts are taught through pre-class videos and hand-on exercises. In terms of analytics tools, it offers training modules on integration of R and Tableau software’s with Hadoop cluster using RHadoop library and Tableau-Hadoop connectors, to perform data analysis tasks and further generate dashboards and visualizations. Finally upon completion of the course, one would be eligible to take up globally recognized certification exam which would provide a nice brand value pointer on their resume.

EMC Logo

EMC2 Data Science and Big Data Analytics

EMC2 is one of the early training providers on the topics of big data and data science. This course is targeted towards working professionals and students to provide relevant skills that are needed to meet the big data challenges faced by businesses across the world. This course covers topics such as overview of big data technologies, introduction to analytics, R programming, working with Hadoop, machine learning algorithms and big data solution engineering. After completing this course, one can also take up the certification exam for Data Science Associate offered by EMC which has a good global reputation.


Cloudera Logo

Cloudera Data Analyst and Introduction to Data Science

Cloudera like EMC2 is also one of the early training providers in the field of big data. Apart from their flagship programs such as Hadoop Administrator and Developer, they offer Data Analyst and Introduction to Data Science courses with more emphasis on training big data analysts and data scientists. Cloudera’s Data Analyst program provides Hands on Hadoop training with coverage of HDFS, MapReduce and other components such as Pig, Hive, and Impala. The focus of this course is to enable data and business analysts develop working knowledge of Hadoop cluster so that they can access any required data from HDFS, Hive or HBASE and further run analyses using Hadoop languages such as Java, HiveQL, and Pig.

Cloudera’s Introduction to Data Science program provides more training modules around overview of Analytics, its applications across various domains, stages involved in an Analytics project and concepts of machine learning. Additionally, it also offers training on machine learning component of Hadoop i.e. Mahout to implement most common statistical algorithms like classification, clustering and recommender systems. In terms of hands-on practice, it covers case studies more specifically related to the application of recommender systems in real life. Upon successful completion of these courses, one would be eligible to take up Cloudera’s Certified Data Scientist Professional certification which would establish your knowledge with potential recruiters on the topics of big data analytics.

Edureka logo

Edureka Big Data & Hadoop and Data Science

Edureka offers two courses related to big data. One of them is Big Data and Hadoop which provides training on Hadoop technologies with various modules related to understanding and implementing Java MapReduce jobs, installation of Hadoop Cluster along with other components Pig, Hive and performing analyses on Hadoop data. Some modules specifically cover data management aspects related to Hadoop cluster with the help of components such as HBase, Sqoop and Flume. Towards the end of the course, students can work on a project which provides a comprehensive practice of all the topics covered in the course.

Other Edureka course is Data Science which focuses on implementing analytics techniques on Hadoop data using a statistical tool namely R. This course requires a pre-requisite of having working knowledge for Hadoop cluster and its components. However, it also provides hands on training for using advanced analytics methods using Mahout Component. Case studies around implementing recommender systems, classification and clustering techniques are also covered to provide a real time understanding of performing such projects. It can be considered more as an advanced course and definitely not applicable for Beginners.


simpli SimpliLearn Big Data and Hadoop Developer

Simplilearn’s Big Data and Hadoop Developer course is more targeted towards providing skills related to roles on big data technologies. It focuses on handling of huge big data databases using Hadoop and its components. Topics on managing a Hadoop cluster and streamlining MapReduce workflows are covered in great detail and they are essential for Hadoop management. As Hadoop is one of the key skills required to become a big data professional, this course can be a good starting point for those looking out to start their big data careers. However this course does not offer anything on the analytics side which is needed if you want extract insights from big data.

Learning Tree Logo

Learning Tree Big Data Analytics and Big Data Analytics with Pig, Hive and Impala

Learning Tree’s Big Data Analytics course provides training on analytics concepts, different stages of analytics project lifecycle, implementing recommender system applications on Hadoop data and also working with unstructured data. It also have specific modules around integrating Hadoop cluster with R software and further perform analyses on Hadoop data by running MapReduce jobs directly from R console. Recommender system applications are covered with the help of Apache Mahout Component of Hadoop which contains various machine learning algorithms around clustering and classification. Though the topics being covered are directly relevant to Big Data Analytics, working knowledge of Hadoop and its components is a pre-requisite for this course. To become a good big data professional, one should also need to have a good understanding of Hadoop ecosystem from an IT perspective and should have an in-depth understanding of various Hadoop components. Coming to the other course i.e. Big Data Analytics with Pig, Hive and Impala is very much similar to Cloudera’s Data Analyst course in terms of offerings. With this course, one can become familiar with Hadoop Ecosystem in terms of installation aspects, running MapReduce jobs and performing data analyses tasks using scripting languages such as HiveQL, Pig and Impala. However, this course lacks in providing exposure to niche analytics tools such as R and machine learning Component of Hadoop i.e. Mahout. Together both courses would be needed for someone looking to become a good big data analyst professional.

Final Conclusion

Looking at these comparisons, all the big data courses cover different metrics that are being used to classify a good big data analytics course. In terms of getting globally recognized certifications, Jigsaw Academy with Wiley, EMC2 and Cloudera are definitely worth considering. When it comes to gaining Hadoop hands on working knowledge, almost all the courses offer required concepts with practical examples except the EMC2 course. For learning about performing data analytics tasks on Hadoop data using Pig, Hive and Impala, courses offered by Jigsaw Academy, Edureka, Cloudera and Learning Tree would be helpful. Machine Learning concepts are being covered in the courses offered by only few institutes Edureka, Cloudera and Learning Tree. In terms of working with analytical and visualization tools, Jigsaw Academy provides training on how to work with Hadoop data using both R and Tableau whereas Edureka and Learning Tree cover only working with R. After looking at all the metrics, we can classify Jigsaw Academy’s Wiley certified Big Data Specialist as a more unique offering and would cover all aspects needed for someone looking to make an entry into the big data analytics field. Though it does not offer machine learning concepts, from analytics point of view these are more advanced concepts and definitely would be helpful mostly for those who are already in this field.


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