Exploratory Data Analysis for Data Science using R Exploratory Data Analysis for Data Science using R

Exploratory Data Analysis for Data Science using R

Exploratory Data Analysis for Data Science using R

Course Provider

Exploratory Data Analysis for Data Science using R

Course Highlights:

  • Data structures in R. Get key insights using exploratory data analysis using R.
  • FutureSkills Prime badge that can be added to your LinkedIn profile.
  • Data structures in R. Get key insights using exploratory data analysis using R.
  • Get introduced to Spark concepts and set up the environment
  • A good understanding of RDD and working knowledge of RDD operation
  • Participants will have an overview of Spark architecture, concepts of performance tuning, job submission and job management
  • Understand and know how to use Spark Streaming, Spark SQL, Dataframes, the APIs
  • Understanding of Spark MLLib with practical examples
  • FutureSkills Prime badge that can be added to your LinkedIn profile.
  • Certificate by Jigsaw Manipal on course completion

What will you learn in Exploratory Data Analysis for Data Science using R course?

  • 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

Exploratory Data Analysis for Data Science using R

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    Big Data Analytics
  • course-category-icon Course Category
    Popular Tech Topics
    • cost-white-icon Course Price
      INR 4,999
      + 18% GST
    • duration-white-icon Course Duration
      73 Hours
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Why you should take Exploratory Data Analysis for Data Science using R course?

  • Know what is Hadoop, Hadoop Distributed File System, and MapReduce and have working knowledge of how to use them
  • Be able to work with HDFS and all basic operations Run MapReduce jobs with a given pre-compiled jar file and check the output
  • Get introduced to Spark concepts and set up the environment
  • A good understanding of RDD and working knowledge of RDD operation
  • Participants will have an overview of Spark architecture, concepts of performance tuning, job submission and job management
  • Understand and know how to use Spark Streaming, Spark SQL, Dataframes, the APIs
  • Understanding of Spark MLLib with practical examples

Who should take Exploratory Data Analysis for Data Science using R course?

All IT people who want to switch to data Engineering

Curriculum

  • Data structures in R. Get key insights using exploratory data analysis using R.
  • Get introduced to Spark concepts and set up the environment
  • A good understanding of RDD and working knowledge of RDD operation
  • Participants will have an overview of Spark architecture, concepts of performance tuning, job submission and job management
  • Understand and know how to use Spark Streaming, Spark SQL, Dataframes, the APIs
  • Understanding of Spark MLLib with practical examples
  • FutureSkills Prime badge that can be added to your LinkedIn profile.
  • Certificate by Jigsaw Manipal on course completion

Tools you will learn in Exploratory Data Analysis for Data Science using R course

  • Core Spark
  • Dataframes
  • RDD Operations
  • Shared Variables
  • Spark MLlib
  • Spark SQL
Apply Now