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Data Science Course at IT Tech Rider

#703, 30th Main, 1st Phase, 2nd Stage, ,
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About The Course:-

This course will cover concept such as HDFS, Hadoop Cluster,   Hadoop Architecture etc.,.

Who Should Take this?

  • Data Architects

  • Decision Makers

  • Business Analysts

  • Ware House Managers

  • Application Developers

  • Software Professionals

  • Data Science Administrators



Pre-requisites for this training

A fundamental knowledge of Java and J2EE is required.

Course Objectives:-

After completion of the course you should be able to understand :

Data Analytics
R Programming
Data Manipulation
Data Import Techniques
Exploratory Data Analysis
Data Visualization
Data Mining

Module 1:

  • Business Analytics

  • Basics of R

  • R language and programming

  • Uses of R

  • Data types in R

  • R comparison with other software’s

  • R installation

  • Operations in R

  • Using functions like- length(), str(), ncol()

Module 2:

  • Data Cleaning

  • Data Inspection

  • Troubleshooting the problems

  • Importing text files into R, import data

  • Installation of packages

Module 3:

  • Exploratory Data Analysis

  • Implementing EDA on datasets

  • Box plots

  • Segment plot

Module 4:

  • Visualization

  • Graphical representations

  • Improvising plots

Module 5:

  • Data Mining

  • Machine learning algorithms

  • Decision Trees

  • Random forest Algorithm creation

  • Features and working of Random forest

Module 6:

  • Simple and Multiple Linear Regressions

  • Simple and Multiple Logistic Regression

  • Log Linear Model

Module 7:

  • Anova Technique

  • Sample testing

  • One and Two way Anova

  • Predictive Analysis

Module 8:

  • Project Work

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Start-End Dates: Contact Institute
Instructional Level: Appropriate for All
Live Projects
Doubt Clearing Sessions
Reading Material
EMI Option
Online Support
Post completion course access
Practice Exams
Placement assistance
Refund Policy
Post completion support

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