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Regression, Data Mining, Text Mining, Forecasting using R

Course From:
Udemy

Data Science using R is designed to cover majority of the capabilities of R from Analytics & Data Science perspective, which includes the following:

  • Learn about the basic statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, probability distribution, etc.
  • Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understanding
  • Learn about the usage of R for building Regression models
  • Learn about the K-Means clustering algorithm & how to use R to accomplish the same
  • Learn about the science behind text mining, word cloud, sentiment analysis & accomplish the same using R
  • Learn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using R
  • Learn about Logistic Regression & how to accomplish the same using R
Course
Intermediate
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Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git.

Udacity
Beginner
3 months
10 hours
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