Data Management, Analysis and Graphics with R Training.

Introduction to data Science with R

The training in Analysis and Graphics with R Course  has the following offered for participants,
 What is analytics & Data Science?
 Common Terms in Analytics
 Analytics vs. Data warehousing, OLAP, MIS Reporting
 Relevance in industry and need of the hour
 Types of problems and business objectives in various industries
 How leading companies are harnessing the power of analytics?
 Critical success drivers
 Overview of analytics tools & their popularity
 Analytics Methodology & problem-solving framework
 List of steps in Analytics projects
 Identify the most appropriate solution design for the given problem statement
 Project plan for Analytics project & key milestones based on effort estimates
 Build Resource plan for analytics project
 Why R for data science?
Data Importation & Exportation.
 Introduction R/R-Studio – GUI
 Concept of Packages – Useful Packages (Base & Other packages)
 Data Structure & Data Types (Vectors, Matrices, factors, Data frames, and Lists)
 Importing Data from various sources (txt, dlm, excel, sas7bdata, db, etc.)
 Database Input (Connecting to database)
 Exporting Data to various formats)
 Viewing Data (Viewing partial data and full data)
 Variable & Value Labels – Date Values