Data Analytics with R Certification Training

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
More on Data Mining
  • 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
Practice Test and Interview Questions

Practice Test and Interview Questions

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

  • SAP FICO – Financial Accounting.
  • SAP FSCM – Accounts Receivable
  • SAP TRM – Treasury Management
  • SAP BCS – Budget Control System
  • SAP EC CS – Enterprise Controlling Consolidation System
  • BOBJE – Dashboard Enhancement for MIS