5 Best Udemy Courses for Learning Big Data

5 Best Udemy Courses for Learning Big Data

Do you know, ” learning Big Data Technology can accelerate your career ?”

Big Data is one of the top demanding skill of this time .

Are you looking  ? No worries Udemy is here .  Get complete hands on learning of Big Data Technology with interactive video on Udemy .

 

The Top 5 Courses For Big Data

Spark and Map Reduce ( Hadoop )  is one best Big data framework . Here is the list of top big data framework and related video courses –

1.Spark and Python for Big Data with PySpark

You will Learn

  1. Hands on learning of new Spark 2.0 DataFrame Syntax.
  2. DataBricks Platform.
  3. Set up on Amazon Web Services EC2 for Big Data Analysis
  4. Learn how to use AWS Elastic MapReduce Service.
  5. Spark’s MLlib to create Powerful Machine Learning Models
  6. Create a Spam filter using Spark and Natural Language Processing.

Spark and Python for Big Data with PySpark Udemy (1).png

 

Instructure : – Jose Portilla

Best Seller Proof: – 4.5 Star,2413 ratings ,15162 students enrolled.

User Review :-   “I feel capable of tackling big data projects after completing this course! The projects are very practical and there is a good amount of experience with various real world data sets. Also, Jose is very response to the Q&A forums! I highly suggest this course for anyone seeking to become a data scientist or data engineer!”

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2. Taming Big Data with Apache Spark and Python – Hands On!

You will Learn

  1. Frame big data analysis problems as Spark problems.
  2. Install and run Apache Spark on a desktop computer or on a cluster
  3. Use Amazon’s Elastic MapReduce service to run your job on a cluster with Hadoop YARN
  4. Use Spark’s Resilient Distributed Datasets to process and analyze large data sets across many CPU’s
  5. Implement iterative algorithms such as breadth-first-search using Spark
  6. Set up on Amazon Web Services EC2 for Big Data Analysis
  7. Use the MLLib machine learning library to answer common data mining questions.

Taming Big Data with Apache Spark and Python Hands On Udemy.png

 

Instructure : – Frank Kane and

Best Seller Proof: – 4.5 Star,3958 ratings ,24556 students enrolled.

User Review :- “Hi,

I m really happy with this course. The code samples and examples are very good and Frank have explained them well. This course is very very helpful for a beginner like me whose programming concepts are are not that good.The best part is the quick and patient response on all the questions asked (even if they are a bit silly).I am loving this experience. :)Happy Learning !”

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3. The Ultimate Hands-On Hadoop – Tame your Big Data!

You will Learn

  1. Design distributed systems that manage “big data” using Hadoop and related technologies..
  2. Design distributed systems that manage “big data” using Hadoop and related technologies..
  3. Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
  4. Analyze relational data using Hive and MySQL.
  5. Analyze non-relational data using HBase, Cassandra, and MongoDB.
  6. Query data interactively with Drill, Phoenix, and Presto
  7. Choose an appropriate data storage technology for your application
  8. Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
  9.  Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume

The Ultimate Hands On Hadoop Tame your Big Data Udemy.png

Instructure :  Frank Kane

Best Seller Proof: – 4.6 Star,6407 ratings ,38,830 students enrolled.

User Review :- “Frank has given good explananing on each and every technology and on which one to pick based on your specific requirement. I recommend this course to all the new learners who want to pursue their careere in Hadoop technologies as a first step. Later you can master on which ever technolgoy you want.”

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4.Taming Big Data with MapReduce and Hadoop – Hands On!

You will Learn

  1. Understand how MapReduce can be used to analyze big data sets.
  2. Write your own MapReduce jobs using Python and MRJob.
  3. Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce.
  4. Chain MapReduce jobs together to analyze more complex problems.
  5. Analyze social network data using MapReduce
  6. Understand other Hadoop-based technologies, including Hive, Pig, and Spark
  7. Understand what Hadoop is for, and how it works
  8. Analyze movie rating data using MapReduce and produce movie recommendations with it.

Taming Big Data with MapReduce and Hadoop Hands On Udemy.png

Instructure :  Frank Kane

Best Seller Proof: – 4.5 Star,1727 ratings ,14,380 students enrolled.

User Review :- “Great Course, with a lot of good explanations.Nice and comprehensive examples for the local machine / up to a 16 machine Amazon Cluster job.The QA is still getting updated and maintained!! The instructor is very engaging.The Map/Reduce concept is fully explained and also other concepts which run on top of Hadoop like Spark are briefly captured.”

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5. Apache Spark 2.0 + Python : DO Big Data Analytics & ML

You will Learn

  1. Acquire Knowledge of Apache Spark 2.0 fundamentals and architecture.
  2. Write Spark 2.0 scripts for Transformations, actions, Spark SQL and Spark Streaming.
  3. Execute Machine Learning / Data Science algorithm
  4. Solve real world data problems with Apache Spark 2.0
  5. Handle interviews for Apache Spark 2.0 confidently and get job

Apache Spark 2 0 Python DO Big Data Analytics ML Udemy.png

Instructure : – V2 Maestros, LLC

Best Seller Proof: – 4.2Star,197ratings ,1550students enrolled.

User Review :- “The sequence in which the modules are ordered and the way in which Kumaran teaches the subject is phenomenal !!! I really recommend this course to people who are like me (Newbie to both Spark and Python)..”

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