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Diploma in Business Analytics using R programming

Diploma in Business Analytics using R programming

Course Duration 90 Days

Mode of learning: Online Classroom

Hurry! Limited Seats Available

Course Highlights

  • 1 Modules & Sub-modules

  • Online live Interactive lectures by industry experts (Instructor led), Dedicated career counselling

  • 2 hours of Online Interactive doubt-solving sessions in a month,24X7 accessibility, Experiential learning

Course Overview

What is this course about
  • Business Analytics refers to the skills and technologies that helps in analyzing past business performances in order to gain insights and formulate business plans for the future. A business analyst analyzes business performance on the basis of data and statistical methods. Therefore, statistical and quantitative analyses of data are the underlying concepts of Business Analysis.

  • R is the most pervasive statistical analysis package currently available. It includes all standard statistical tests and models as well as provides a comprehensive language for managing and manipulating data.

  • The R programming language has outstanding graphical capabilities, providing a fully programmable graphical language that is far superior to other statistical and graphical packages. Therefore, R programming makes the task of Business Analysis easier.

  • R wins Statistical Capability, Graphical capability, Cost, rich set of packages and is the most Powerful tool for Data Scientists.

  • The average salary of a Senior Data Scientist skilled in R is USD 123,000 (pay scale salary data); they are heavily sought after in Fortune 500 companies.

  • R opens up career opportunities in almost every industry and vertical. Data science skills are also quickly becoming transferable between industries

What are the course deliverables ?
  • Online live Interactive lectures by industry experts(Instructor led)

  • Access to Recorded lectures by industry experts (Self-Paced)

  • 2 hours of Online Interactive doubt-solving sessions in a month (Self-Paced)

  • Access to world-class Learning Management System (LMS)-CANVAS, which includes recorded lectures, PPTs, case studies, & subject-related articles

  • Access to e-Library resources: eBooks, articles, journals etc.

  • Experiential learning

  • 24X7 accessibility

  • Dedicated career counselling

Who should do this course ?
  • IT professionals looking for a career switch into data science and analytics

  • Software developers Professionals working in data and business analytics

  • Anyone with a genuine interest in the data science field

  • Graduates looking to build a career in analytics

Eligibility
  • Software developers professionals working in data and business analytics

I am Interested

Curriculum

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