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Advanced Statistics with R
Categories:
IT
Description

ABOUT THIS COURSE

Learn the most in-demand technology and business-oriented skill. Become a champion statistics analyst and find a prosperous way to make a great career in the field of data and analytics.  Get to understand and use advanced techniques which are used for forecasting, time series modeling and finding the causal effect relationship between the variable. This course helps you to analyze data using various tools and work on simulation, model selection, multivariate community analysis, and a little Bayes.

Rated Top 3 in Analytics programs in the country, Praxis Business Schools has designed the program through its Industry veterans in the Analytics 

LEARNING OBJECTIVES

  • Learn to use R to model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts; examine outliers; calculate correlations
  • Get used to make advanced analysis using robust tools and technologies for business forecasting and thus become a key member of  decision making teams

KEY TOPICS COVERED

  • Inference and hypothesis testing on single population
  • Analysis of difference in two populations
  • Analysis of Variance, Chi-Square Analysis
  • Analysis of data using Non-parametric Statistics
  • Linear regression analysis, Multiple regression analysis
  • Advanced Multiple regression analysis
  • Logistic Regression, Forecasting


PRE-REQUISITES TO REGISTER FOR THE COURSE: 

  • Statistics with R and R programming

Faculty Profiles
Frequently Asked Questions