Best Free BigData & Hadoop Courses – Learn BigData & Hadoop With Free Online Tutorials

Best Free BigData Hadoop Courses

Do you want to learn BigData & Hadoop? Here we listed Best Free BigData & Hadoop Courses which will help you learn Hadoop, and are suitable for beginners, intermediate learners as well as experts.

Introduction to Big Data – an overview of the 10 V’s

What you’ll learn

  • This course will give the students an overview of this field and understand the various characteristics of Big Data that will help them later in their career to make better decisions in terms of architectures, tools, and technologies to use when dealt with a certain business problem.
Duration: 40min
Rating: 3.9 (359 ratings) out of 5
Trainer: Taimur Zahid
URL: https://www.udemy.com/course/bigdata-course/

Hadoop Basic Course for Beginners to Professionals

What you’ll learn

  • Basics of big data
  • History of Hadoop
  • Difference between RDBMS and Hadoop
  • Cluster Modes in Hadoop
  • HDFS Daemons and Mapreduce daemons
  • HADOOP CLUSTER ARCHITECTURE
  • HDFS Commands
  • Combiner & Partitioner
  • Mapreduce
Duration: 2hr 33min
Rating: 4.0 (345 ratings) out of 5
Trainer: Edulearners Technologies
URL: https://www.udemy.com/course/hadoop-basic-course-for-beginners-to-professionals/

Hadoop Starter Kit

What you’ll learn

  • Understand the Big Data problem in terms of storage and computation
  • Understand how Hadoop approach Big Data problem and provide a solution to the problem
  • Understand the need for another file system like HDFS
  • Work with HDFS
  • Understand the architecture of HDFS
  • Understand the MapReduce programming model
  • Understand the phases in MapReduce
  • Envision a problem in MapReduce
  • Write a MapReduce program with complete understanding of program constructs
  • Write Pig Latin instructions
  • Create and query Hive tables
Duration: 3hr 20min
Rating: 4.4 (13,964 ratings) out of 5
Trainer: Hadoop In Real World
URL: https://www.udemy.com/course/hadoopstarterkit/
Big Data and Hadoop Essentials

What you’ll learn

  • To build fundamental knowledge of Big Data and Hadoop
  • To build essential understanding about Big Data and Hadoop
Duration: 43min
Rating: 4.1 (10,613 ratings) out of 5
Trainer: Nitesh Jain
URL: https://www.udemy.com/course/big-data-and-hadoop-essentials-free-tutorial/
Learn BigData & Hadoop with Practical

What you’ll learn

  • Understand what is BigData and Hadoop
  • What is HDFS and Map Reduce
  • You get practical knowledge how HDFS and Map Reduce Examples
  • Understand what the job of a Hadoop Developer /Tester looks like
  • Understanding V’s of Big Data
  • Evolution of Hadoop
Duration: 3hr 50min
Rating: 4.1 (372 ratings) out of 5
Trainer: Vaibhav Singhal
URL: https://www.udemy.com/course/learn-bigdata-hadoop-with-practical/
Setup Big Data Development Environment

What you’ll learn

  • Understand how to setup development environment to learn big data technologies.
Duration: 6hr 19min
Rating: 4.3 (345 ratings) out of 5
Trainer: Durga Viswanatha Raju Gadiraju, Itversity Support
URL: https://www.udemy.com/course/setup-big-data-development-environment/
Google Cloud Platform Big Data and Machine Learning Fundamentals

What you’ll learn

  • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
  • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
  • Employ BigQuery and Cloud Datalab to carry out interactive data analysis
  • Choose between Cloud SQL, BigTable and Datastore
  • Train and use a neural network using TensorFlow
  • Choose between different data processing products on the Google Cloud Platform
Duration: Approx. 15 hours
Rating: 4.6 (9,371 ratings) out of 5
Trainer: Google Cloud
URL: https://www.coursera.org/learn/gcp-big-data-ml-fundamentals
Big Data Essentials: HDFS, MapReduce and Spark RDD

What you’ll learn

  • learn some basic technologies of the modern Big Data landscape, namely: HDFS, MapReduce and Spark
  • be guided both through systems internals and their applications
  • learn about distributed file systems, why they exist and what function they serve
  • grasp the MapReduce framework, a workhorse for many modern Big Data applications
  • apply the framework to process texts and solve sample business cases
  • learn about Spark, the next-generation computational framework
  • build a strong understanding of Spark basic concepts
  • develop skills to apply these tools to creating solutions in finance, social networks, telecommunications and many other fields.
Duration: Approx. 46 hours
Rating: 4.0 (435 ratings) out of 5
Trainer: Ivan Puzyrevskiy, Emeli Dral, Evgeniy Riabenko, Alexey A. Dral, Pavel Mezentsev
URL: https://www.coursera.org/learn/big-data-essentials
Big Data Specialization

What you’ll learn

  • You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive
  • You will experience how one can perform predictive modeling and leverage graph analytics to model problems
Duration: Approx. 60 hours
Rating: 4.4 (12,912 ratings) out of 5
Trainer: Ilkay Altintas, Amarnath Gupta, Mai Nguyen
URL: https://www.coursera.org/specializations/big-data
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames

What you’ll learn

  • Warehouse your data efficiently using Hive, Spark SQL and Spark DataFframes.
  • Work with large graphs, such as social graphs or networks.
  • Optimize your Spark applications for maximum performance
  • Writing and executing Hive & Spark SQL queries
  • Reasoning how the queries are translated into actual execution primitives (be it MapReduce jobs or Spark transformations)
  • Organizing your data in Hive to optimize disk space usage and execution times
  • Constructing Spark DataFrames and using them to write ad-hoc analytical jobs easily
  • Processing large graphs with Spark GraphFrames
  • Debugging, profiling and optimizing Spark application performance
Duration: Approx. 68 hours
Rating: 4.0 (156 ratings) out of 5
Trainer: Alexey A. Dral, Pavel Klemenkov, Natalia Pritykovskaya
URL: https://www.coursera.org/learn/big-data-analysis

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