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
Careers
Careers Related to Regression, Data Mining, Text Mining, Forecasting using R
Jobs
Jobs Related to Regression, Data Mining, Text Mining, Forecasting using R
Certifications
Certifications related to R or Data Mining
Courses