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.

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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