Machine Learning for Data Science using R Machine Learning for Data Science using R

Machine Learning for Data Science using R

Machine Learning for Data Science using R

Course Provider

Machine Learning for Data Science using R

Course Highlights:

  • Supervised and unsupervised learning algorithms and implementation using R.
  • Have working knowledge of how to use Hadoop.
  • How to write Hive queries for all tasks from creating databases & tables to loading data, querying including joints Advanced operations on tables like handling data in XML and JSON formats.
  • Understanding of Hbase, Data storage, Bulk data load processes.
  • Knowledge of how to schedule workflows using Oozie scheduler and coordinator.
  • Creating interactive dashboards with Tableau and getting dashboards from raw data.
  • FutureSkills Prime badge that can be added to your LinkedIn profile.
  • Certificate by Jigsaw Manipal on course completion

What will you learn in Machine Learning for Data Science using R course?

  • Introduction to Big Data, Big Data Definition, Significance - Why Big Data, RDBMS and Big Data
  • Introduction and Overview of Hadoop, Hadoop Distributed File System (HDFS)

Machine Learning for Data Science using R

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    Artificial Intelligence
  • course-category-icon Course Category
    Popular Tech Topics
    • cost-white-icon Course Price
      INR 13,200
      + 18% GST
    • duration-white-icon Course Duration
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Why you should take Machine Learning for Data Science using R course?

  • Know what Hadoop, Hadoop Distributed File System, and MapReduce is and have working knowledge of how to use them
  • How to write Hive queries for all tasks from creating databases & tables to loading data, querying including joints Advanced operations on tables like handling data in XML and JSON formats
  • Understanding of Hbase, Data storage, Bulk data load processes
  • Knowledge of how to schedule workflows using Oozie scheduler and coordinator
  • Creating interactive dashboards with Tableau and getting dashboards from raw data

Who should take Machine Learning for Data Science using R course?

All IT people who want to switch to data Engineering

Curriculum

  • Introduction to Big Data, Big Data Definition, Significance - Why Big Data, RDBMS and Big Data.
  • Introduction and Overview of Hadoop, Hadoop Distributed File System (HDFS)
  • Hadoop - History Architecture, Hadoop Components HDFS Architecture, HDFS Operations,
  • Hands-on Exercises on Jigsaw Lab
  • MapReduce Concept
  • MapReduce Architecture
  • YARN MapReduce Internals Hands-on Exercises
  • Hive Architecture and Components
  • Data Storage in Hive
  • Data Types in Hive
  • Hive Query Language Features
  • Partitions in Hive Joins in Hive
  • Advanced features - Handling JSON and XML format in Hive
  • Hands-on Exercises
  • HBase Overview and Architecture
  • Data Model
  • Bulk Data Upload to Hbase
  • Oozie Introduction and Overview Workflow
  • Coordinator in Oozie
  • Need_for_Visualizations-1
  • Importance_of_Big_Data_Visualization
  • Big_Data_Visualization_Tools_Tableau_Products-1
  • Tableau_Installation_Workspace_Overview-1
  • Working with Tableau
  • Creating interactive dashboards
  • Integrating Tableau with Hadoop
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