Top 5 Hadoop Online Courses: Which one to choose?

Featured article by Varun Datta, Independent Technology Author

If you are searching to further your knowledge in the Hadoop either for career-advancement purposes or for personal development or business purposes, then there are several different courses that can satisfy your need.

Below are five of the best Hadoop courses online that could help you achieve your goal to become a data scientist. Take a look.

1.   Simplilearn’s Big Data Hadoop Certification Training

Simplilearn’s Big Data Hadoop certification trains you to be adept at maneuvering the Hadoop infrastructure, keeping in mind the nature of Big Data. With this certification, you will be well-prepared to enter the profession of Big Data.

Key Features

– No prerequisites required for this course
– This course prepares you for Cloudera’s CCA175 Big data certification.
– 24-hrs of self-paced video training
– 40-hrs of instructor-led training
– Focus on application of learning material through 5 real-life industry projects
– Hands-on practice on CloudLab (a cloud-based Hadoop and Spark environment)
– You will principally (and yet comprehensively) master core Big data Hadoop material
– Confidently kickstart your career by learning the most in-demand professional skills in big data and analytics
– You will be well-placed to keep pace with rapid changes in the technology space and fill growing job opportunities
– Increase your salary/earnings

Why Take This Course?

Course Syllabus and duration:

This course offers two formats for learning the material including:

A. As an individual: 180 days of access to Self-paced learning using content designed by industry experts and 90 days of access to instructor-led online training

B. Corporate training solutions including; blended online instructor-led training and self-paced learning material, Enterprise-class learning management system, Enhanced reporting for individuals and teams and 24×7 teaching assistance and support.

Core topics taught in this course include:

– Introduction to Big data and Hadoop Ecosystem
– Different components of the Hadoop ecosystem (MapReduce, Hadoop 2.7, Yarn, Pig, HDFS, Impala, Flume, HBase, Spark, Apache)
– How the above Hadoop ecosystem components fit in with the Big Data processing lifecycle
– How to implement Hadoop in real-life projects in different industries including in social media, banking, telecommunications, e-commerce and so on.

2.   Udacity’s Intro to Hadoop and MapReduce

Udacity’s course is for those who are beginners in the field of Big Data. With this course, students can understand the basic rules of Hadoop and how it is applicable to the field of Big Data.

Key Features

– Basic Python coding skills can be useful although not absolutely necessary as a prerequisite for this course
– Diverse and useful learning content
– Interactive questions and quizzes
– Self-Paced Learning
– Student Support Community
– The course will teach you the basic principles of Apache Hadoop and how to apply these basic principles to make sense of Big Data.
– Understand concepts of MapReduce and HDFS
– Teaches you how to problem-solve on your own using these tools
– The course is also very useful as a first step towards a career in Machine Learning through Udacity’s Machine Learning Engineer Nanodegree Program.

Why Take This Course?

Course Syllabus and duration:

The duration of this course is about 1-month, and the core topics taught include the following:

– Big Data (problems big data creates and how Hadoop addresses these problems)
– HDFS and MapReduce
– MapReduce code
– MapReduce Design Patterns

If you want to learn more about this platform, you can always check out the Udacity review.

3.   Koenig’s Hadoop Developer with Spark certification

Koenig’s Big Data Hadoop course is a great course for those who want to learn how to use Hadoop in the context of Big Data. Students who take this course will be able to deploy Apache Spark applications and use this to derive business information.

Key Features

– No prerequisites required for this course, however, a strong understanding of Java is recommended
– Training involves several hands-on and personalized approaches including; instructor-led discussions, lots of interactive and hands-on exercises
– You will gain in-depth understanding how to write, configure and launch Apache Spark applications on a Hadoop cluster
– Prepares you for Cloudera’s certification

Why Take This Course?

Some of the benefits of Hadoop admin training are as follows:

– Gain a deeper understanding of big data and the core components of the Hadoop ecosystem
– Understand how to detangle large amounts of information and sort them into organized buckets so they can be used to derive valid information.
– Increase your chances of getting hired for the job of your choice

Course Syllabus and duration:

This course offers two formats for learning the material including:

A. Instructor-led training at your home/office for a total of 4 days

B. Classroom training if you are in India for a total of 4 days.

Core topics taught in this course include:

– Introduction to Apache Hadoop
– Cluster Installation, planning, configuration, maintenance, monitoring, and troubleshooting
– The Hadoop Distributed File System (HDFS)
– MapReduce and Spark on YARN
– Installing and Configuring Hive, Impala, and Pig
– Hadoop Clients
– Hadoop Security

4.   Udemy’s Big Data Hadoop – The Complete Course

This Udemy course is for those who don’t want to break the bank for a basic understanding of how Hadoop integrates with Big Data. If you are someone who is curious about Big Data and Hadoop, then this course is for you.

Key Features

– No prerequisites required for this course,
– Become a Hadoop Developer with real-life project experience
– Prepares you to connect with recruiters through building a project portfolio
– Lifetime access to videos
– 11-hrs on-demand sessions with experts

Why Take This Course?

– The training is in-depth and technical
– Learn concepts as well as real-life applications useful for your career
– The curriculum is developed to ensure that is relevant to practices relevant in the professional world

Course Syllabus and duration:

This course can be finished in a day or day and a half. However, the projects required in this course may take longer.

Core topics taught in this course include the following topics:

– Introduction to Big Data
– Understanding HDFS and MapReduce Architecture and framework
– MapReduce and its configuration
– YARN, Pig, and Hive

5.   Edx’s Introduction to Apache Hadoop

Edx’s Introduction to Apache Hadoop course is for those who want to understand Hadoop from a theoretical perspective. In this course, students will be able to understand what Hadoop is and how it works.

Key Features

– Prerequisite knowledge and experience is required in Linux as well as basic familiarity with Java applications
– Official and Verified instructor-led training can increase your job prospects
– Easily share your certificate on LinkedIn or on your Resume
– Course instructors are Hadoop experts from The Linux Foundation’s ODPi collaborative project.
– The Linux Foundation provides additional training and networking to help you find opportunities to advance your career.

Why Take This Course?

This course is perfect for IT professionals that want:

– A high-level overview of Hadoop
– To find out whether a Hadoop-driven strategy will be useful for their data retention and analytics needs
– To run a small-scale Hadoop test environment and gain practical experience

Course Syllabus and duration:

The course takes 15 weeks to complete with an effort of 3-hrs to 4-hrs a week.

The core topics that you will learn in this course include:

– The origin of Apache Hadoop and its big data ecosystem
– Apache Hadoop and building data lake management architectures in Modern-day enterprise IT environments
– Scaling and securing data lakes in multi-tenant enterprise environments
– Leveraging the YARN framework and Apache Hive
– Managing key Hadoop components (Hive, YARN, and HDFS) from the command line

So there you have it. Becoming a Hadoop engineer or a data scientist isn’t hard, it’s just scary. There is so much (often contradictory) information about what you should do to become a data scientist that it is overwhelming. Now that you have a list of which courses you can take, this should simplify the process for you and help decide what next to do. Do reach out to us in the comment section if we’ve missed something or just to say hi!

About the Author

Varun Datta is a serial Entrepreneur and a vivid writer who loves to share what he has learnt in his Entrepreneurial Journey. He has founded multiple companies, out of which 4New.io is the most innovative one.  It is a waste to energy enterprise which is wholly focused on the production of electricity in order to power the mining of popular cryptocurrencies.