big data online courses

What is Big Data and what are the best certifications and training courses online

Introduction

Big data technology is a process where large data sets are examined to get a hidden pattern, trends, and other useful information. As the name suggests big data is a term used for a collection of data sets which is so large, unstructured and complex that it is difficult to get a meaningful output using traditional applications and tools. The size of such data used to be in terabytes. To help big data aspirants in choosing the best course here is the list of selected online courses of big data.

Best + free selected courses for big data online tutorials, certifications and training

1. Big Data online course –  Specialization by University of California San Diego (Coursera)

big data online courses

This Big Data online course course brought to us by Coursera is designed to teach the fundamentals of big data methods through six straightforward courses. Through this course, one will gain an understanding of what insights big data can provide through hands-on experience. The course is guided through the basics of using Hadoop with MapReduce, Spark, Pig, and Hive.

Offered By

Number of users enrolled

Users Rating

Course Duration

San Diego

51,5714.55 Months

Level – Beginner. Previous programming experience is not required

Skills to learn

  • Introduction to Big Data
  • Big Data Modeling and Management Systems
  • Big Data Integration and Processing
  • Machine Learning With Big Data
  • Graph Analytics for Big Data
  • Big Data – Capstone Project

 Useful for 

  • Data Engineers
  • Data Scientists and Analysts
  • Machine Learning Engineers
  • Biostatisticians

Review Highlights

This Big Data online Course is a series of courses that help in mastering the skill.  This is supported by hands-on-projects to understand the subject with practical experience.  Students will earn a Certificate that can be shared with prospective employers and professional networks.

Conclusion – This course is designed perfectly for those who are new to data science. No prior programming experience is needed. After completing the course students will be able to process, analyze, and interpret massive and complex data using current big data technologies. They will have the basic skills to model, manage and process big data of various sources and formats.   

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2. Big Data online course for Hadoop Certification Training (Edureka!)

big data  online courses

Big Data Hadoop Certification Training program has been designed by the industry experts of Hadoop. It covers in-depth knowledge on Big Data and Hadoop Ecosystem tools.

Offered ByNumber of users enrolledUsers RatingCourse Duration
Edureka!1520004.95 Weeks

Level-  Beginners. There are no such prerequisites for this course. However, prior knowledge of Core Java and SQL will be helpful but is not mandatory. 

Skills to learn

  • In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce
  • Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
  • The exposure to many real world industry-based projects which will be executed in Edureka’s CloudLab
  • Projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce
  • Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices

Useful for

  • Software Developers, Project Managers
  • Software Architects
  • ETL and Data Warehousing Professionals
  • Data Engineers
  • Data Analysts & Business Intelligence Professionals
  • DBAs and DB professionals
  • Senior IT Professionals
  • Testing professionals
  • Mainframe professionals
  • Graduates looking to build a career in Big Data Field

Review Highlights

There is an increasing demand for certified Big Data Hadoop professionals. Edureka’s Big Data & Hadoop Certification Training helps in grabbing such an opportunity and accelerate a career.

Conclusion Big Data Hadoop Certification Training will help you to become a Big Data expert.  Besides strong theoretical understanding, you need to work on various real-world big data projects. The below predictions will help in understanding the growth of Big Data:

  • Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% -Forbes
  • McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts
  • Average Salary of Big Data Hadoop Developers is $97k

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3.  Big Data online course on Fundamentals by the University of Adelaide (edX)

big data

Offered by edX, in this course, Big Data aspirants will learn how big data is driving organizational change. Also, the key challenges organizations face when trying to analyze massive data sets. Students will learn fundamental techniques, such as data mining and stream processing. Students will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. One will learn how big data has improved web search and how online advertising systems work.

Offered ByNumber of users enrolledCourse Duration
University of Adelaide (edX)3415810 Weeks

Level– Intermediate

Skills to learn

  • Knowledge and application of MapReduce
  • Understanding the rate of occurrences of events in big data
  • How to design algorithms for stream processing and counting of frequent elements in Big Data
  • Understand and design PageRank algorithms
  • Understand underlying random walk algorithms

Useful for

Students who are willing to learn fundamental techniques of Big Bata like data mining and stream processing.

Review Highlights

This course teaches how to design and implement PageRank algorithms using MapReduce. One will learn how big data has improved web search and how online advertising systems work.

Conclusion

This course will give you a good understanding of the basics of working with big data. Students will learn the characteristics of the web and social networks, Clustering big data and the concept of google web search. The course is ideal for those who are willing to build a career in Big Data and start with fundamentals.

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4.  Big Data online Hadoop Certification Training Course (Simplilearn)

big data

This certification course offered by Simplilearn helps in mastering. This included HDFS, YARN, MapReduce, Hive, HBase, Spark, Flume, Sqoop, Hadoop Frameworks, Spark SQL and more concepts of Big Data processing life cycle.

Offered ByRatingNumber of users enrolledCourse Duration
Simplilearn4+183006 Weeks (48 Hours)

Level – Intermediate with pre-requisite of basic understanding of Core Java and SQL. 

Skills to learn

  • Real-time data processing
  • Functional programming
  • Spark applications
  • Parallel processing
  • Spark RDD optimization techniques
  • Spark SQL

Useful for

 IT, data management, and analytics professionals looking to gain expertise in Big Data, 

  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Software Developers and Architects
  • Project Managers
  • Aspiring Data Scientists
  • Graduates looking to begin a career in Big Data Analytics

Review Highlights – The Big Data Hadoop Certification online course is designed to provide in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Big Data course, one will execute real-life, industry-based projects using Integrated Lab. Some of the key features of this course include –

  • 48 hours of instructor-led training
  • 10 hours of self-paced video
  • 4 real-life industry projects using Hadoop, Hive and Big data stack
  • Training on Yarn, MapReduce, Pig, Hive, HBase, and Apache Spark
  • Lifetime access to self-paced learning
  • Aligned to Cloudera CCA175 certification exam

Conclusion 

For the aspirant of upskilling in Big Data and Analytics field taking this course is a smart career decision. As per the Allied Market Research, the global Hadoop market will reach $84.6 Billion by 2021 and there is a shortage of 1.4-1.9 million Hadoop data analysts in the U.S. alone. This clearly shows that there is a great future for Big data Hadoop specialists. 

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5. The Ultimate Hands-On Hadoop (By Udemy)

big data

Offered by Udemy, in this comprehensive big data online course is one will learn and master the most popular big data technologies. This includes MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka and many more technologies.  The course is covered in  14 hours of video lectures. It’s filled with hands-on activities and exercises. Thereby, students get some real experience in using Hadoop. 

Offered ByRatingNumber of users enrolledCourse Duration
Udemy4.58560714 hours

Level– Intermediate with prior programming experience, preferably in Python or Scala. A basic familiarity with the Linux command line will be very helpful.

Skills to 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 appropriate data storage technology for your application
  • Understand 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

Useful for

  • Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend “big data” at scale.
  • Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
  • Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
  • System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.

Review Highlights

This course is comprehensive, covering over 25 different technologies. Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data. Almost every large company you might want to work at uses Hadoop in some way. One will find a range of activities in this course.

Conclusion

Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data. Spending on this course is a great value for the money. Students walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. 

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6. Taming Big Data with Apache Spark and Python  (Big data online course by Udemy)

big data  online courses

This big data online course teaches the hottest technology in big data ‘Apache Spark’. Many employers use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. In this course, one will learn and master the art of framing data analysis problems as Spark problems through over 15 hands-on examples. Further, scale them up to run on cloud computing services in this course.

Offered ByRatingNumber of users enrolledCourse Duration
Udemy4.5384855 hours

Level – Intermediate with pre-requisite of  Some prior programming or scripting experience. Python experience will help a lot.

Skills to learn

  • Use DataFrames and Structured Streaming in Spark 2
  • Frame big data analysis problems as Spark problems
  • Use Amazon’s Elastic MapReduce service to run your job on a cluster with Hadoop YARN
  • Install and run Apache Spark on a desktop computer or on a cluster
  • Use Spark’s Resilient Distributed Datasets to process and analyze large data sets across many CPU’s
  • Implement iterative algorithms such as breadth-first-search using Spark
  • Use the MLLib machine learning library to answer common data mining questions
  • Understand how Spark SQL lets you work with structured data
  • Understand how Spark Streaming lets your process continuous streams of data in real time
  • Tune and troubleshoot large jobs running on a cluster
  • Share information between nodes on a Spark cluster using broadcast variables and accumulators
  • Understand how the GraphX library helps with network analysis problems

Useful for

  • People with some software development background who want to learn the hottest technology in big data analysis 
  • Developer processing large amounts of data
  • Aspiring to a  new career in data science or big data

Review Highlights

big data with Apache Spark is an important skill in today’s technical world. This course is very hands-on. With 5 hours of video content and over 15 real examples of increasing complexity students can build, run and study themselves. 

Conclusion

The course is extremely useful. By the end of this course, students can easily run code that analyzes gigabytes worth of information in the cloud. 

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7. Intro to Hadoop and MapReduce- a big data online course by Cloudera ( Udacity)

big data

Offered by Udacity this course teaches

  • How Hadoop fits into the world (recognize the problems it solves)
  • Understand the concepts of HDFS and MapReduce (find out how it solves the problems)
  • Write MapReduce programs (see how we solve the problems)
  • Practice solving problems on your own

Level- Intermediate 

Offered ByCourse Duration
Udacity1 Month

Skills to learn

  • What is Big Data?
  • The problems big data creates.
  • How Apache Hadoop addresses these problems.
  • Discover how HDFS distributes data over multiple computers.
  • Learn how MapReduce enables analyzing datasets in parallel across multiple machines. 
  • Write your own MapReduce code.
  • Use common patterns for MapReduce programs to analyze Udacity forum data.

Useful for

This course is the first step for the aspirant who wants to build a career in big data processing.

Conclusion

This is free of cost course. Every aspirant should register and take this course. The course provides a rich self-learning content. 

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