Familarize yourself with Analytics Fundamentals and R with

• Understanding of the role of analytics in businesses
• Install and navigate R
• Perform descriptive analytics with R

Key Features of the Course

• Gives hands on experience of installing and working with R
• Enables participants to understand key features of R
• Enables performing basic analytical techniques using R
• Lab exercises enable you to practise the skills learnt

Objective of the course

Wiley's Basic Analytics with R program aims to develop skilled R programmers and analysts who are conversant with performing basic analytics with R.

• Introduces participants to R as an analytics tools, and techniques of basic analytics
• Familiarizes participants with the role and use of Big Data in various relevant industries through numerous use cases and case studies.
• Gives hands-on experience of working with R tools on real data-sets through lab-work

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Candidates Eligible for Attending the Course

• Graduate students with Statistics or Math background
• B.Tech/ M.Tech Students
• MBA/ BBA/ Commerce/ Accounting students
• Business and data analysts and database professionals willing to foray into analytics with R

Modules

• Module Duration: Approx 10 hours of learning and lab work
  • Module 1:Introduction to Analytics & R Programming
  • Module 2: Data Analysis using R

Modules Can be Customized and Integrated With

• Corporate Training programs
• Engineering Curriculum
• MBA Curriculum
• BBA/ B.Com curriculum

Resources

• Course Resources
• Videos
• Lab Environment
• Assessments

Pre-Requisites for Attending the Course

• Basics of statistics
  • Measures of central tendency and averages
  • Measures of dispersion
  • Introduction to probability
Basic understanding of graphs, histograms and scatter plots
Basic knowledge of databases, tables and fields
Idea of spreadsheets and computations

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