Data science With R Training

Overview

Sapphire Global DATASCIENCE WITH R Training makes you an expert in using DATASCIENCE WITH R concepts. Enroll now for DATASCIENCE WITH R online training and get through the concepts of data, by utilizing the internal memory for storing a working set. Sapphire Global introduces all the key concepts in DATASCIENCE WITH R to help the learner gain more knowledge. Enroll & Become a DATASCIENCE WITH R Consultant.

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 DATASCIENCE WITH R component
  • Configure and use new functionalities in DATASCIENCE WITH R
  • Use the standard DATASCIENCE WITH R Sub Modules.
  • Explain the DATASCIENCE WITH R Controlling Configuration and Customization option.
Introduction to Data Science Methodologies
  • Data Types
  • Introduction to Data Science Tools
  • Statistics
  • Approach to Business Problems
  • Numerical Categorical
  • R, Python, WEKA, RapidMiner
  • Hypothesis testing: Z, T, F test Anova, ChiSq
Correlation / AssociationRegressionCategorical variables
  • Introduction to Correlation Spearman Rank Correlation
  • OLS Regression – Simple and Multiple Dummy variables
  • Multiple regression
  • Assumptions violation – MLE estimates
  • Using UCI ML repository dataset or Built-in R dataset
Data Preparation
  • Data preparation & Variable identification
  • Advanced regression
  • Parameter Estimation / Interpretation
  • Robust Regression
  • Accuracy in Parameter Estimation
  • Using UCI ML repository dataset or Built-in R dataset
Logistic Regression
  • Introduction to Logistic Regression
  • Logit Function
  • Training-Validation approach
  • Lift charts
  • Decile Analysis
  • Using UCI ML repository dataset or Built-in R dataset
Cluster AnalysisClassification Models
  • Introduction to Cluster Techniques
  • Distance Methodologies
  • Hierarchical and Non-Hierarchical Procedure
  • K-Means clustering
  • Introduction to decision trees/segmentation with Case Study
  • Using UCI ML repository dataset or Built-in R dataset
Introduction and to Forecasting Techniques
  • Introduction to Time Series
  • Data and Analysis
  • Decomposition of Time Series
  • Trend and Seasonality detection and forecasting
  • Exponential Smoothing
  • Building R Dataset
  • Sales forecasting Case Study
Advanced Time Series Modeling
  • Box – Jenkins Methodology
  • Introduction to Auto Regression and Moving Averages, ACF, PACF
  • Detecting order of ARIMA processes
  • Seasonal ARIMA Models (P,D,Q)(p,d,q)
  • Introduction to Multivariate Time-series  Analysis
  • Using built-in R datasets
Stock market prediction
  • Live example/ live project
  • Using client given stock prices / taking stock price data
Pharmaceuticals
  • Case Study with the Data
  • Based on open set data
Market Research
  • Case Study with the Data
  • Based on open set data
Machine Learning
  • Supervised Learning Techniques
  • Conceptual Overview
  • Unsupervised Learning Techniques
  • Association Rule Mining Segmentation
Fraud Analytics
  • Fraud Identification Process in Parts procuring
  • Sample data from online
Text Analytics
  • Text Analytics
  • Sample text from online
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