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udemy-r-programming-for-statistics-and-data-science-2020
magnet:?xt=urn:btih:cce8e85e7eadf16dd598429ec379cdab9078fb12&dn=udemy-r-programming-for-statistics-and-data-science-2020
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Hash值:
cce8e85e7eadf16dd598429ec379cdab9078fb12
点击数:
96
文件大小:
1.75 GB
文件数量:
87
创建日期:
2024-2-21 21:22
最后访问:
2024-6-9 08:10
访问标签:
udemy-r-programming-for-statistics-and-data-science-2020
文件列表详情
7. Data frames/1. Intro.mp4 6.64 MB
7. Data frames/10. Getting a sense of your data frame.mp4 8.93 MB
7. Data frames/11. Indexing and slicing a data frame in R.mp4 10.08 MB
7. Data frames/13. Extending a data frame in R.mp4 9.98 MB
7. Data frames/15. Dealing with missing data in R.mp4 10.7 MB
7. Data frames/2. Creating a data frame in R.mp4 18.98 MB
7. Data frames/4. The Tidyverse package.mp4 15.17 MB
7. Data frames/5. Data import in R.mp4 6.45 MB
7. Data frames/6. Importing a CSV in R.mp4 8.18 MB
7. Data frames/7. Data export in R.mp4 6.32 MB
8. Manipulating data/1. Intro.mp4 15.47 MB
8. Manipulating data/2. Data transformation with R - the Dplyr package - Part I.mp4 18.18 MB
8. Manipulating data/3. Data transformation with R - the Dplyr package - Part II.mp4 7.37 MB
8. Manipulating data/4. Sampling data with the Dplyr package.mp4 4 MB
8. Manipulating data/5. Using the pipe operator in R.mp4 7.32 MB
8. Manipulating data/8. Tidying data in R - gather() and separate().mp4 18.7 MB
8. Manipulating data/9. Tidying data in R - unite() and spread().mp4 6 MB
10. Exploratory data analysis/1. Population vs. sample.mp4 12.2 MB
10. Exploratory data analysis/2. Mean, median, mode.mp4 10.49 MB
10. Exploratory data analysis/3. Skewness.mp4 7.54 MB
10. Exploratory data analysis/5. Variance, standard deviation, and coefficient of variability.mp4 11.35 MB
10. Exploratory data analysis/6. Covariance and correlation.mp4 14.1 MB
11. Hypothesis Testing/1. Distributions.mp4 106.94 MB
11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4 49.25 MB
11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4 44.36 MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 65.66 MB
11. Hypothesis Testing/3. Hypothesis testing.mp4 82.2 MB
11. Hypothesis Testing/4. Type I and Type II errors.mp4 41.65 MB
11. Hypothesis Testing/5. Test for the mean - population variance known.mp4 58.64 MB
11. Hypothesis Testing/7. The P-value.mp4 60.64 MB
11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4 54.76 MB
4. Vectors and vector operations/1. Intro.mp4 12.25 MB
4. Vectors and vector operations/10. Slicing and indexing a vector in R.mp4 19.04 MB
4. Vectors and vector operations/13. Changing the dimensions of an object in R.mp4 8.93 MB
4. Vectors and vector operations/2. Introduction to vectors.mp4 6.93 MB
4. Vectors and vector operations/3. Vector recycling.mp4 5.13 MB
4. Vectors and vector operations/5. Naming a vector in R.mp4 9.1 MB
4. Vectors and vector operations/8. Getting help with R.mp4 24.78 MB
5. Matrices/1. Creating a matrix in R.mp4 11.66 MB
5. Matrices/11. Matrix operations in R.mp4 10.52 MB
5. Matrices/14. Categorical data.mp4 30.85 MB
5. Matrices/15. Creating a factor in R.mp4 20.77 MB
5. Matrices/18. Lists in R.mp4 50.23 MB
5. Matrices/2. Faster code creating a matrix in a single line of code.mp4 5.71 MB
5. Matrices/5. Do matrices recycle.mp4 3.39 MB
5. Matrices/6. Indexing an element from a matrix.mp4 15.2 MB
5. Matrices/7. Slicing a matrix in R.mp4 7.37 MB
5. Matrices/9. Matrix arithmetic.mp4 14.31 MB
1. Introduction/1. Ten Things You Will Learn in This Course.mp4 48.91 MB
2. Getting started/1. Intro.mp4 6.76 MB
2. Getting started/2. Downloading and installing R & RStudio.mp4 14.09 MB
2. Getting started/3. Quick guide to the RStudio user interface.mp4 14.9 MB
2. Getting started/5. Changing the appearance in RStudio.mp4 4.18 MB
2. Getting started/6. Installing packages in R and using the library.mp4 27.7 MB
12. Linear Regression Analysis/1. The linear regression model.mp4 57.53 MB
12. Linear Regression Analysis/2. Correlation vs regression.mp4 15.48 MB
12. Linear Regression Analysis/3. Geometrical representation.mp4 6.75 MB
12. Linear Regression Analysis/4. First regression in R.mp4 37.93 MB
12. Linear Regression Analysis/5. How to interpret the regression table.mp4 50.29 MB
12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4 49.19 MB
12. Linear Regression Analysis/8. R-squared.mp4 34.41 MB
6. Fundamentals of programming with R/1. Relational operators in R.mp4 7.55 MB
6. Fundamentals of programming with R/11. While loops in R.mp4 7.94 MB
6. Fundamentals of programming with R/13. Repeat loops in R.mp4 6.45 MB
6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4 31.78 MB
6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4 51.76 MB
6. Fundamentals of programming with R/2. Logical operators in R.mp4 5.08 MB
6. Fundamentals of programming with R/3. Vectors and logicals operators.mp4 3.92 MB
6. Fundamentals of programming with R/6. If, else, else if statements in R.mp4 9.68 MB
6. Fundamentals of programming with R/8. If, else, else if statements - Keep-In-Mind's.mp4 6.45 MB
6. Fundamentals of programming with R/9. For loops in R.mp4 11.55 MB
9. Visualizing data/1. Intro.mp4 6.66 MB
9. Visualizing data/11. Building a scatterplot with ggplot2.mp4 16.84 MB
9. Visualizing data/2. Intro to data visualization.mp4 7.39 MB
9. Visualizing data/3. Intro to ggplot2.mp4 24.34 MB
9. Visualizing data/4. Variables revisited.mp4 10.33 MB
9. Visualizing data/5. Building a histogram with ggplot2.mp4 22.58 MB
9. Visualizing data/7. Building a bar chart with ggplot2.mp4 12.2 MB
9. Visualizing data/9. Building a box and whiskers plot with ggplot2.mp4 20.28 MB
3. The building blocks of R/1. Creating an object in R.mp4 43.96 MB
3. The building blocks of R/11. Functions and arguments.mp4 4.53 MB
3. The building blocks of R/13. Building a function in R (basics).mp4 24.61 MB
3. The building blocks of R/16. Using the script vs. using the console.mp4 9.33 MB
3. The building blocks of R/3. Data types in R - Integers and doubles.mp4 8.38 MB
3. The building blocks of R/4. Data types in R - Characters and logicals.mp4 6.36 MB
3. The building blocks of R/7. Coercion rules in R.mp4 5.45 MB
3. The building blocks of R/9. Functions in R.mp4 6.18 MB
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