## Fundamental Methods for Data Science in R

Individuals with statistics and programming experience who wish to learn the methods of data science in R.

Prerequisite
None

Expected Duration
137 minutes

Description
R is a free software environment for statistical computing and graphics and has become an important tool in modern data science. In this course, you will learn the fundamental R methods that data scientists use in their everyday work.

Objective

Introduction

• start the course
• distinguish data science from statistics and computer science
• identify some of the problems data scientists solve
• use various sources of data to learn data science

Important R Basics

• use data frames to store data in tables in R
• use the R str function to display the internal structure of data
• use summary statistics to catch problems before data analysis in R
• use the rjson R package to import json formatted files
• use the foreach loop in R

Data Management

• reshape values in your data in R
• join data frames using the merge function in R
• use the transpose function “”t”” in R
• aggregate data frames in R
• perform a fixed value imputation and perform a list wise deletion imputation in R
• perform an imputation using the impute functions from the Hmisc package in R
• use the R cut function to turn continuous data into discrete categories

Data Analysis

• identify the most frequently used functions for data analysis in R
• fit a linear model using lm function in R
• computing ANOVA using the aov function in R
• extract coefficients from a modeling function in R
• extract the fitted values from a modeling function in R
• extract the residuals from a modeling function in R
• calculate the variance-covariance matrix in R
• calculate a confidence interval in R using confint
• fit a generalized linear model using the glm function in R
• use the ggplot2 library to plot models in R
• compute the t-test in R
• perform a TukeyHSD test in R
• use the predict function in R

Time Series

• create a time series in R
• use the forecast package in R

Practice: Data Science Fundamentals in R

• use common statistical methods for data analysis in R

\$129/month

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