R Programming for Statistics and Data Science

سرفصل های دوره

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R

01 - Introduction

001 Ten Things You Will Learn in This Course

02 - Getting started

001 Intro

002 Downloading and installing R & RStudio

003 Quick guide to the RStudio user interface

003 RStudio-shortcuts.pdf

004 Changing the appearance in RStudio

005 Installing packages in R and using the library

03 - The building blocks of R

001 Creating an object in R

002 Exercise 1 Creating an object in R.html

003 Data types in R - Integers and doubles

004 Data types in R - Characters and logicals

005 Exercise 2 Data types in R.html

006 Coercion rules in R

007 Exercise 3 Coercion rules in R.html

008 Functions in R

009 Exercise 4 Using functions in R.html

010 Functions and arguments

011 Exercise 5 The arguments of a function.html

012 Building a function in R (basics)

013 Exercise 6 Building a function in R.html

014 Using the script vs. using the console

external-links.txt

04 - Vectors and vector operations

001 Intro

002 Introduction to vectors

003 Vector recycling

004 Exercise 7 Vector recycling.html

005 Naming a vector in R

006 Exercise 8 Vector attributes - names.html

007 Getting help with R

008 Slicing and indexing a vector in R

009 Exercise 9 Indexing and slicing a vector.html

010 Changing the dimensions of an object in R

010 Course-notes-Section-II-III-IV.pdf

011 Exercise 10 Vector attributes - dimensions.html

external-links.txt

05 - Matrices

001 Creating a matrix in R

002 Faster code creating a matrix in a single line of code

003 Exercise 11 Creating a matrix in R.html

004 Do matrices recycle

005 Indexing an element from a matrix

006 Slicing a matrix in R

007 Exercise 12 Indexing and slicing a matrix.html

008 Matrix arithmetic

009 Exercise 13 Matrix arithmetic.html

010 Matrix operations in R

011 Exercise 14 Matrix operations.html

012 Categorical data

013 Course-notes-Section-II-III-IV-V.pdf

013 Creating a factor in R

014 Exercise 15 Creating a factor in R.html

015 Lists in R

016 Exercise Lists in R.html

017 Completed 33% of the course.html

external-links.txt

06 - Fundamentals of programming with R

001 Relational operators in R

002 Logical operators in R

003 Vectors and logicals operators

004 Exercise Logical operators.html

005 If, else, else if statements in R

006 Exercise If, else, else if statements in R.html

007 If, else, else if statements - Keep-In-Minds

008 For loops in R

009 Exercise For Loops in R.html

010 While loops in R

011 Exercise While loops in R.html

012 Repeat loops in R

013 Building a function in R 2.0

014 Building a function in R 2.0 - Scoping

015 Exercise Scoping.html

016 Completed 50% of the course.html

external-links.txt

07 - Data frames

001 Intro

002 Creating a data frame in R

003 Exercise 16 Creating a data frame in R.html

004 The Tidyverse package

005 Data import in R

005 pokRdex-comma.csv

005 pokRdex-tab.txt

006 Importing a CSV in R

007 Data export in R

008 Exercise 17 Importing and exporting data in R.html

008 employee-data.csv

009 Getting a sense of your data frame

009 pokRdex-comma.csv

010 Indexing and slicing a data frame in R

011 Extending a data frame in R

012 Exercise 18 Data frame operations.html

013 Dealing with missing data in R

external-links.txt

08 - Manipulating data

001 Intro

002 Data transformation with R - the Dplyr package - Part I

003 Data transformation with R - the Dplyr package - Part II

004 Sampling data with the Dplyr package

005 Using the pipe operator in R

006 Exercise 19 Data transformation with Dplyr.html

006 employee-data.csv

007 Tidying data in R - gather() and separate()

007 billboard.csv

007 tb.csv

008 Tidying data in R - unite() and spread()

008 weather.csv

009 Exercise 20 Data tidying with Tidyr.html

009 tb-untidy.csv

009 weather-untidy.csv

external-links.txt

09 - Visualizing data

001 Intro

002 Intro to data visualization

003 Intro to ggplot2

003 hdi-cpi.csv

004 Variables revisited

005 Building a histogram with ggplot2

005 titanic.csv

006 Exercise 21 Building a histogram with ggplot2.html

006 employee-data.csv

007 Building a bar chart with ggplot2

008 Exercise 22 Building a bar chart with ggplot2.html

009 Building a box and whiskers plot with ggplot2

010 Exercise 23 Building a box plot with ggplot2.html

011 Building a scatterplot with ggplot2

012 9.8-Scatter-Plot-Walkthrough.pdf

012 Exercise 24 Building a scatterplot with ggplot2.html

012 real-estate.csv

external-links.txt

10 - Exploratory data analysis

001 Population vs. sample

002 Mean, median, mode

003 Skewness

004 Exercise 25 Determining Skewness.html

004 skew-1.csv

004 skew-2.csv

005 Variance, standard deviation, and coefficient of variability

006 Covariance and correlation

006 landdata-states.csv

007 Exercise 26 Practical example with real estate data.html

007 practical-customer.csv

007 practical-product.csv

external-links.txt

11 - Hypothesis Testing

001 Distributions

002 Standard Error and Confidence Intervals

003 Hypothesis testing

003 R-Programming-for-Statistics-and-Data-Science-Course-notes-Hypothesis-testing.pdf

004 R-Programming-for-Statistics-and-Data-Science-Course-notes-Hypothesis-testing.pdf

004 Type I and Type II errors

005 Test for the mean - population variance known

005 ztest-a.csv

006 Exercise Test for the mean - population variance known.html

006 ztest-a.csv

007 R-Programming-for-Statistics-and-Data-Science-Course-notes-Hypothesis-testing.pdf

007 The P-value

008 Test for the mean - Population variance unknown

008 ttest-a.csv

009 Exercise Test for the mean - population variance unknown.html

009 ttest-a.csv

010 Comparing two means - Dependent samples

010 dependent-samples.csv

011 Exercise Comparing two means - Dependent samples.html

011 weight-data-exercise-kg.csv

011 weight-data-exercise-lbs.csv

012 Comparing two means - Independent samples

012 independent-samples.csv

external-links.txt

12 - Linear Regression Analysis

001 The linear regression model

002 Correlation vs regression

003 Geometrical representation

004 First regression in R

004 regression-example.csv

005 How to interpret the regression table

006 Exercise Doing a regression in R.html

006 real-estate-price-size-year-view.csv

007 Decomposition of variability SST, SSR, SSE

008 R-squared

009 Completed 100% of the course.html

external-links.txt

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