This course will prepare you to: Explain the architecture of the Data Analytics with R Certfication. Configure and use new functionalities in Data Analytics with R Certfication Concepts.

Difference between R and other analytical languages Different data types in R Built in functions of R: seq(), cbind (), rbind(), merge() Subsetting methods Use of functions like str(), class(), length(), nrow(), ncol(),head(), tail()

Decision Trees Algorithm for creating Decision Trees Greedy Approach: Entropy and Information Gain Creating a Perfect Decision Tree Classification Rules for Decision Trees Concepts of Random Forest Working of Random Forest Features of Random Forest

Data Analytics with R Certification Training

Name: Data Analytics with R Certification Training
Rating: 5.00 (10 reviews)

Sapphire Global Data Analytics with R Certfication Training makes you an expert in using Data Analytics concepts. Enroll now for Data Analytics with R Certfication online training and get through the concepts of data, by utilizing the internal memory for storing a working set.

Overview

Sapphire Global Data Analytics with R Certification Training makes you an expert in using Data Analytics concepts. Enroll now for Data Analytics with R Certification online training and get through the concepts of data, by utilizing the internal memory for storing a working set.

Training Options

INSTRUCTOR LEAD LIVE TRAINING

Live Instructor Online training by Certified & industry expert Trainers
24/7 One Demand Dedicated Server for Hands on Practice.
Flexibility to attend the class at your convenient time.
Earn a Skill Certificate
Professional Resume Preparation end of the trading period.
Plus 45 Days of flexible access e- learning.

CORPORATE TRAINING

Customized Learning delivery model.
Our training practice are perfectly blended with options for effective live instructor lead hands on training.
Training need analysis.
Our Corporate training services are easy accessibility of LMS ( learning Management System ) online or offline – anytime, anywhere, on any of your devices.
24/7 learner assistance and Support

Course Curriculum

Key features

This course will prepare you to:

Explain the architecture of the Data Analytics with R Certfication.
Configure and use new functionalities in Data Analytics with R Certfication Concepts.

What is Data Analytics

R tools and their uses in Business Analytics
Objectives
Analytics
Where is analytics applied?
Responsibilities of a data scientist
Problem definition
Summarizing data
Data collection

About R

Difference between R and other analytical languages
Different data types in R
Built in functions of R: seq(), cbind (), rbind(), merge()
Subsetting methods
- Use of functions like str(), class(), length(), nrow(), ncol(),head(), tail()

Steps involved in data cleaning

Problems and solutions for Data cleaning
Data inspection
Use of functions grepl(), grep(), sub()
Use of apply() function
Coerce the data

Data Import techniques

How R handles data in a variety of formats
Importing data from csv files, spreadsheets and text files
Import data from other statistical formats like sas7bdat and sps
Packages installation used for database import
Connect to RDBMS from R using ODBC and basic SQL queries in R
Basics of Web Scraping

Exploratory Data analysis

Understanding the Exploratory Data Analysis(EDA)
Implementation of EDA on various datasets
Boxplots
Understanding the cor() in R
EDA functions like summarize()
llist()
Multiple packages in R for data analysis
Segment plot HC plot in R

Data Visualization in R

Understanding on Data Visualization
Graphical functions present in R
Plot various graphs like tableplot
Histogram
Box Plot
Customizing Graphical Parameters to improvise the plots
Understanding GUIs like Deducer and R Commander
Introduction to Spatial Analysis

Data Mining: Clustering Techniques

Introduction to Data Mining
Understanding Machine Learning
Supervised and Unsupervised Machine Learning Algorithms
K-means Clustering

Data Mining: Association Rule Mining and Sentiment Analysis

Association Rule Mining
Sentiment Analysis

Linear and Logistic Regression

Linear Regression
Logistic Regression

Anova

Anova

Predictive Analysis

Predictive Analysis

Course Advisor

Course Advisor

R. Sreenatha Reddy

SAP FICO / FSCM / TRM / FM / S4HANA Functional Consultant

Professional Experience:

15+ years of Industry experience as Accountant, Consultant, Module Lead, worked on various IT Organizations like IBM/TCS/ITC infotech/SAP Labs across the globe.

Specialized in SAP