5 Best + Free Hadoop Courses & Certification [2020][UPDATED]

  • 1. Hadoop Platform and Application Framework [Coursera]
  • 2. The Ultimate Hands On Hadoop Tame your Big Data [Udemy]
  • 3. Big Data & Hadoop Full Course - Learn Hadoop In 10 Hours [YouTube]
  • 4. Taming Big Data with MapReduce and Hadoop Hands On [Udemy]
  • 5. Introduction to Big Data [Coursera]
  • 6. Big Data Analysis with Scala and Spark [Coursera]

As featured on Harvard EDU, Stackify and Inc - CourseDuck identifies and rates the Best Hadoop Courses, Tutorials, Providers and Certifications, based on 12,000+ student reviews, public mentions, recommendations, ratings and polling 5,000+ highly active StackOverFlow members. Learn more

💻 Which Hadoop Course Provider is best for me?
  • Udemy and Eduonix are best for practical, low cost and high quality Hadoop courses.
  • Coursera, Udacity and EdX are the best providers for a Hadoop certificate, as many come from top Ivy League Universities.
  • YouTube is best for free Hadoop crash courses.
  • PluralSight, SkillShare and LinkedIn are the best monthly subscription platforms if you want to take multiple Hadoop courses.
  • Independent Providers for Hadoop courses & certificates are generally hit or miss.
💼 What is Hadoop used for?
One of the most important and motivating reasons to learn Big Data and Hadoop is the fact that it brings an array of opportunities to bolster your career to an unprecedented level. As more and more companies turn to Big Data, they are increasingly looking for specialists who can interpret and use data.
💰 How much do Hadoop developers make?
$61,000 - $72,999
1% of jobs
$73,000 - $84,999
4% of jobs
$85,000 - $96,999
7% of jobs
$107,500 is the 25th percentile. Salaries below this are outliers.
$109,000 - $120,999
17% of jobs
The average salary is $129,974 a year
$121,000 - $132,999
16% of jobs
$133,000 - $144,999
13% of jobs
$148,500 is the 75th percentile. Salaries above this are outliers.
$157,000 - $168,999
7% of jobs
$169,000 - $180,999
4% of jobs
$181,000 - $193,000
2% of jobs
US National Average$61,000 $193,000$129,974/year
📃 Is a Hadoop Certificate worth it?
Yes and No. Certified Hadoop developers on average make more money. Having a Hadoop certificate greatly increases the chance of landing an interview and can open otherwise closed doors. Coursera, Udacity and EdX offer excellent certificate options for impressing your future employers. Eduonix, Udemy and several other providers offer certificates, but they aren't as reputable. If you have a Computer Science Degree, certificates are not as important. Still, many employers won't care about certificates, but rather your interview skills, experience and/or skills assessment.
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6 Filtered Courses
Hadoop Platform and Application Framework
provider

1 )

Hadoop Platform and Application Framework

4.2
This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process.

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Overall Score : 86 / 100

The Ultimate Hands On Hadoop Tame your Big Data
provider

2 )

The Ultimate Hands On Hadoop Tame your Big Data (2020)

0.0
Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more! Over 25 technologies.

iconWhat You'll Learn

  • Design distributed systems that manage "big data" using Hadoop and related technologies.
  • Use HDFS and MapReduce for storing and analyzing data at scale.
  • Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
  • Analyze relational data using Hive and MySQL
  • Analyze non-relational data using HBase, Cassandra, and MongoDB
  • Query data interactively with Drill, Phoenix, and Presto
  • Choose an appropriate data storage technology for your applicationUnderstand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
  • Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
  • Consume streaming data using Spark Streaming, Flink, and Storm
Big Data & Hadoop Full Course - Learn Hadoop In 10 Hours
provider

3 )

Big Data & Hadoop Full Course - Learn Hadoop In 10 Hours (2019)

0.0
This Edureka Big Data & Hadoop Full Course video will help you understand and learn Hadoop concepts in detail. This Big Data & Hadoop Tutorial is ideal for both beginners as well as professionals who want to master the Hadoop Ecosystem.

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Overall Score : 99 / 100

Taming Big Data with MapReduce and Hadoop Hands On
provider

4 )

Taming Big Data with MapReduce and Hadoop Hands On (2020)

0.0
Learn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon's Elastic MapReduce Service.

iconWhat You'll Learn

  • Understand how MapReduce can be used to analyze big data sets
  • Write your own MapReduce jobs using Python and MRJob
  • Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
  • Chain MapReduce jobs together to analyze more complex problems
  • Analyze social network data using MapReduce
  • Analyze movie ratings data using MapReduce and produce movie recommendations with it.
  • Understand other Hadoop-based technologies, including Hive, Pig, and Spark
  • Understand what Hadoop is for, and how it works
Introduction to Big Data
provider

5 )

Introduction to Big Data

5.0
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.*********Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you

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Overall Score : 99 / 100

Big Data Analysis with Scala and Spark
provider

6 )

Big Data Analysis with Scala and Spark

4.6
Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.Learning Outcomes. By the end of this course you will be able to:- read data from persistent storage and load it into Apache Spark,- manipulate data with Spark and Scala,- express algorithms for data alysis in a functiol style, - recognize how to avoid shuffles and recomputation in Spark,Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming: https://www.coursera.org/learn/parprog1.

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Overall Score : 94 / 100

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