| Archived
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R Programming for Statistics and Data Science [Video]\12.Linear Regression Analysis\85.How to interpret the regression table.mp4
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38,171,821 |
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R Programming for Statistics and Data Science [Video]\12.Linear Regression Analysis\86.Decomposition of variability - SST, SSR, SSE.mp4
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23,833,160 |
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R Programming for Statistics and Data Science [Video]\12.Linear Regression Analysis\87.R-squared.mp4
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30,068,277 |
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R Programming for Statistics and Data Science [Video]\12.Linear Regression Analysis\81.The linear regression model.mp4
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41,848,087 |
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R Programming for Statistics and Data Science [Video]\12.Linear Regression Analysis\84.First regression in R.mp4
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19044816 |
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R Programming for Statistics and Data Science [Video]\12.Linear Regression Analysis\83.Geometrical representation.mp4
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6,788,640 |
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R Programming for Statistics and Data Science [Video]\12.Linear Regression Analysis\82.Correlation vs regression.mp4
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10,603,778 |
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R Programming for Statistics and Data Science [Video]\Exercise Files\code_35126.zip |
807,706 |
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R Programming for Statistics and Data Science [Video]\1.Introduction\01.Ten Things You Will Learn in This Course.mp4
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R Programming for Statistics and Data Science [Video]\4.Vectors and vector operations\18.Naming a vector in R.mp4
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19,323,535 |
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R Programming for Statistics and Data Science [Video]\4.Vectors and vector operations\20.Slicing and indexing a vector in R.mp4
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42,051,177 |
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R Programming for Statistics and Data Science [Video]\4.Vectors and vector operations\15.Intro.mp4
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R Programming for Statistics and Data Science [Video]\4.Vectors and vector operations\17.Vector recycling.mp4
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R Programming for Statistics and Data Science [Video]\4.Vectors and vector operations\21.Changing the dimensions of an object in R.mp4
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30,602,025 |
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R Programming for Statistics and Data Science [Video]\4.Vectors and vector operations\19.Getting help with R.mp4
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51,852,098 |
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R Programming for Statistics and Data Science [Video]\4.Vectors and vector operations\16.Introduction to vectors.mp4
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23,900,960 |
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R Programming for Statistics and Data Science [Video]\2.Getting started\05.Changing the appearance in RStudio.mp4
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13,050,157 |
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R Programming for Statistics and Data Science [Video]\2.Getting started\03.Downloading and installing R & RStudio.mp4
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29,279,784 |
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R Programming for Statistics and Data Science [Video]\2.Getting started\02.Intro.mp4
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78,613,814 |
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R Programming for Statistics and Data Science [Video]\2.Getting started\04.Quick guide to the RStudio user interface.mp4
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44,833,496 |
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R Programming for Statistics and Data Science [Video]\2.Getting started\06.Installing packages in R and using the library.mp4
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58,922,961 |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R\14.Using the script vs. using the console.mp4
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19,664,501 |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R\11.Functions in R.mp4
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20,473,723 |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R\09.Data types in R - Characters and logicals.mp4
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21,648,407 |
2745CDA1 |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R\07.Creating an object in R.mp4
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31,333,198 |
CEE8ECB3 |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R\10.Coercion rules in R.mp4
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19,023,493 |
C4DE8251 |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R\12.Functions and arguments.mp4
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14,555,128 |
38D9F527 |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R\13.Building a function in R (basics).mp4
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27,099,703 |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R\08.Data types in R - Integers and doubles.mp4
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28,023,851 |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data\60.Intro to data visualization.mp4
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21,150,246 |
13700F40 |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data\63.Building a histogram with ggplot2.mp4
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52,179,099 |
315E9EB5 |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data\59.Intro.mp4
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76,419,991 |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data\62.Variables - revisited.mp4
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30,157,838 |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data\64.Building a bar chart with ggplot2.mp4
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41,015,797 |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data\65.Building a box and whiskers plot with ggplot2.mp4
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19,316,896 |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data\66.Building a scatterplot with ggplot2.mp4
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69,066,981 |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data\61.Intro to ggplot2.mp4
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25,341,435 |
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R Programming for Statistics and Data Science [Video]\5.Matrices\30.Creating a factor in R.mp4
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44,173,489 |
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R Programming for Statistics and Data Science [Video]\5.Matrices\27.Matrix arithmetic.mp4
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49,293,861 |
CC6B6A67 |
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R Programming for Statistics and Data Science [Video]\5.Matrices\25.Indexing an element from a matrix.mp4
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31,685,231 |
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R Programming for Statistics and Data Science [Video]\5.Matrices\29.Categorical data.mp4
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14,633,693 |
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R Programming for Statistics and Data Science [Video]\5.Matrices\28.Matrix operations in R.mp4
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34,698,606 |
11E31B4F |
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R Programming for Statistics and Data Science [Video]\5.Matrices\26.Slicing a matrix in R.mp4
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24,472,807 |
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R Programming for Statistics and Data Science [Video]\5.Matrices\22.Creating a matrix in R.mp4
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39,815,555 |
84BEB6DA |
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R Programming for Statistics and Data Science [Video]\5.Matrices\31.Lists in R.mp4
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33,632,292 |
EFE67F86 |
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R Programming for Statistics and Data Science [Video]\5.Matrices\24.Do matrices recycle.mp4
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11,094,610 |
2D8E6069 |
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R Programming for Statistics and Data Science [Video]\5.Matrices\23.Faster code - creating a matrix in a single line of code.mp4
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18,889,567 |
818185BE |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\72.Distributions.mp4
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84,642,776 |
154D3B16 |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\80.Comparing two means - Independent samples.mp4
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30,085,321 |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\78.Test for the mean - Population variance unknown.mp4
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34,683,635 |
50291C05 |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\75.Type I and Type II errors.mp4
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26,401,285 |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\79.Comparing two means - Dependent samples.mp4
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36,040,571 |
2DE517B8 |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\74.Hypothesis testing.mp4
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23,821,400 |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\73.Standard Error and Confidence Intervals.mp4
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41,658,543 |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\76.Test for the mean - population variance known.mp4
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39,689,824 |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing\77.The P-value.mp4
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32,173,040 |
03ECB17A |
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R Programming for Statistics and Data Science [Video]\7.Data frames\51.Dealing with missing data in R.mp4
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35,286,419 |
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R Programming for Statistics and Data Science [Video]\7.Data frames\46.Importing a CSV in R.mp4
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28,376,122 |
2ED67142 |
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R Programming for Statistics and Data Science [Video]\7.Data frames\50.Extending a data frame in R.mp4
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35,315,572 |
E066F473 |
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R Programming for Statistics and Data Science [Video]\7.Data frames\43.Creating a data frame in R.mp4
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39,742,326 |
E86A27AC |
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R Programming for Statistics and Data Science [Video]\7.Data frames\42.Intro.mp4
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73,167,555 |
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R Programming for Statistics and Data Science [Video]\7.Data frames\49.Indexing and slicing a data frame in R.mp4
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34,032,471 |
FDEBE434 |
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R Programming for Statistics and Data Science [Video]\7.Data frames\45.Data import in R.mp4
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21,652,980 |
E7608FC4 |
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R Programming for Statistics and Data Science [Video]\7.Data frames\48.Getting a sense of your data frame.mp4
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28,733,921 |
D8591BFD |
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R Programming for Statistics and Data Science [Video]\7.Data frames\44.The Tidyverse package.mp4
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29,286,677 |
DA14A387 |
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R Programming for Statistics and Data Science [Video]\7.Data frames\47.Data export in R.mp4
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20,698,367 |
40351FE9 |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\34.Vectors and logicals operators.mp4
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12,506,256 |
CCCB9943 |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\37.For loops in R.mp4
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17,968,467 |
C3CE2066 |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\35.If, else, else if statements in R.mp4
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31,999,763 |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\33.Logical operators in R.mp4
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16,319,317 |
DAD268DB |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\40.Building a function in R 2.0.mp4
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23,929,295 |
148DB041 |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\39.Repeat loops in R.mp4
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21,325,091 |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\41.Building a function in R 2.0 - Scoping.mp4
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32,591,069 |
51030D8B |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\38.While loops in R.mp4
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\36.If, else, else if statements - Keep-In-Mind's.mp4
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21,424,161 |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R\32.Relational operators in R.mp4
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24,914,444 |
02CFF41A |
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R Programming for Statistics and Data Science [Video]\10.Exploratory data analysis\67.Population vs. sample.mp4
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22,532,477 |
55CFEDEE |
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R Programming for Statistics and Data Science [Video]\10.Exploratory data analysis\70.Variance, standard deviation, and coefficient of variability.mp4
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35,376,511 |
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R Programming for Statistics and Data Science [Video]\10.Exploratory data analysis\71.Covariance and correlation.mp4
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46,692,251 |
6315896E |
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R Programming for Statistics and Data Science [Video]\10.Exploratory data analysis\69.Skewness.mp4
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25,064,256 |
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R Programming for Statistics and Data Science [Video]\10.Exploratory data analysis\68.Mean, median, mode.mp4
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34,521,524 |
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R Programming for Statistics and Data Science [Video]\8.Manipulating data\55.Sampling data with the Dplyr package.mp4
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12,911,761 |
5B9FC529 |
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R Programming for Statistics and Data Science [Video]\8.Manipulating data\53.Data transformation with R - the Dplyr package - Part I.mp4
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39,529,607 |
49B0373D |
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R Programming for Statistics and Data Science [Video]\8.Manipulating data\58.Tidying data in R - unite() and spread().mp4
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20,002,030 |
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R Programming for Statistics and Data Science [Video]\8.Manipulating data\57.Tidying data in R - gather() and separate().mp4
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66,443,168 |
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R Programming for Statistics and Data Science [Video]\8.Manipulating data\56.Using the pipe operator in R.mp4
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R Programming for Statistics and Data Science [Video]\8.Manipulating data\54.Data transformation with R - the Dplyr package - Part II.mp4
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R Programming for Statistics and Data Science [Video]\8.Manipulating data\52.Intro.mp4
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R Programming for Statistics and Data Science [Video]\12.Linear Regression Analysis |
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R Programming for Statistics and Data Science [Video]\Exercise Files |
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R Programming for Statistics and Data Science [Video]\1.Introduction |
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R Programming for Statistics and Data Science [Video]\4.Vectors and vector operations |
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R Programming for Statistics and Data Science [Video]\2.Getting started |
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R Programming for Statistics and Data Science [Video]\3.The building blocks of R |
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R Programming for Statistics and Data Science [Video]\9.Visualizing data |
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R Programming for Statistics and Data Science [Video]\5.Matrices |
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R Programming for Statistics and Data Science [Video]\11.Hypothesis Testing |
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R Programming for Statistics and Data Science [Video]\7.Data frames |
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R Programming for Statistics and Data Science [Video]\6.Fundamentals of programming with R |
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R Programming for Statistics and Data Science [Video]\10.Exploratory data analysis |
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R Programming for Statistics and Data Science [Video]\8.Manipulating data |
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