Data Management, Analysis and Graphics with R Course

Data Management, Analysis and Graphics with R Course

Introduction to Data Science with R

  • 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
  • The project plan for Analytics project & key milestones based on effort estimates
  • Build a Resource plan for an analytics project
  • Why R for data science?

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