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[DesireCourse.Net] Udemy - R Programming for Statistics and Data Science 2020
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2021-1-22 23:24
2024-8-15 14:39
251
1.75 GB
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相关链接
DesireCourse
Net
Udemy
-
R
Programming
for
Statistics
and
Data
Science
2020
文件列表
1. Introduction/1. Ten Things You Will Learn in This Course.mp4
48.91MB
10. Exploratory data analysis/1. Population vs. sample.mp4
12.2MB
10. Exploratory data analysis/2. Mean, median, mode.mp4
10.49MB
10. Exploratory data analysis/3. Skewness.mp4
7.54MB
10. Exploratory data analysis/5. Variance, standard deviation, and coefficient of variability.mp4
11.35MB
10. Exploratory data analysis/6. Covariance and correlation.mp4
14.1MB
11. Hypothesis Testing/1. Distributions.mp4
106.94MB
11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4
49.26MB
11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4
44.36MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4
65.65MB
11. Hypothesis Testing/3. Hypothesis testing.mp4
82.2MB
11. Hypothesis Testing/4. Type I and Type II errors.mp4
41.66MB
11. Hypothesis Testing/5. Test for the mean - population variance known.mp4
58.64MB
11. Hypothesis Testing/7. The P-value.mp4
60.63MB
11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4
54.76MB
12. Linear Regression Analysis/1. The linear regression model.mp4
57.54MB
12. Linear Regression Analysis/2. Correlation vs regression.mp4
15.49MB
12. Linear Regression Analysis/3. Geometrical representation.mp4
6.74MB
12. Linear Regression Analysis/4. First regression in R.mp4
37.93MB
12. Linear Regression Analysis/5. How to interpret the regression table.mp4
50.28MB
12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4
49.19MB
12. Linear Regression Analysis/8. R-squared.mp4
34.41MB
2. Getting started/1. Intro.mp4
6.77MB
2. Getting started/2. Downloading and installing R & RStudio.mp4
14.09MB
2. Getting started/3. Quick guide to the RStudio user interface.mp4
14.89MB
2. Getting started/5. Changing the appearance in RStudio.mp4
4.18MB
2. Getting started/6. Installing packages in R and using the library.mp4
27.7MB
3. The building blocks of R/1. Creating an object in R.mp4
43.96MB
3. The building blocks of R/11. Functions and arguments.mp4
4.52MB
3. The building blocks of R/13. Building a function in R (basics).mp4
24.6MB
3. The building blocks of R/16. Using the script vs. using the console.mp4
9.33MB
3. The building blocks of R/3. Data types in R - Integers and doubles.mp4
8.39MB
3. The building blocks of R/4. Data types in R - Characters and logicals.mp4
6.36MB
3. The building blocks of R/7. Coercion rules in R.mp4
5.44MB
3. The building blocks of R/9. Functions in R.mp4
6.18MB
4. Vectors and vector operations/1. Intro.mp4
12.25MB
4. Vectors and vector operations/10. Slicing and indexing a vector in R.mp4
19.04MB
4. Vectors and vector operations/13. Changing the dimensions of an object in R.mp4
8.93MB
4. Vectors and vector operations/2. Introduction to vectors.mp4
6.92MB
4. Vectors and vector operations/3. Vector recycling.mp4
5.13MB
4. Vectors and vector operations/5. Naming a vector in R.mp4
9.11MB
4. Vectors and vector operations/8. Getting help with R.mp4
24.77MB
5. Matrices/1. Creating a matrix in R.mp4
11.66MB
5. Matrices/11. Matrix operations in R.mp4
10.52MB
5. Matrices/14. Categorical data.mp4
30.85MB
5. Matrices/15. Creating a factor in R.mp4
20.78MB
5. Matrices/18. Lists in R.mp4
50.23MB
5. Matrices/2. Faster code creating a matrix in a single line of code.mp4
5.71MB
5. Matrices/5. Do matrices recycle.mp4
3.39MB
5. Matrices/6. Indexing an element from a matrix.mp4
15.2MB
5. Matrices/7. Slicing a matrix in R.mp4
7.37MB
5. Matrices/9. Matrix arithmetic.mp4
14.32MB
6. Fundamentals of programming with R/1. Relational operators in R.mp4
7.55MB
6. Fundamentals of programming with R/11. While loops in R.mp4
7.94MB
6. Fundamentals of programming with R/13. Repeat loops in R.mp4
6.45MB
6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4
31.78MB
6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4
51.75MB
6. Fundamentals of programming with R/2. Logical operators in R.mp4
5.08MB
6. Fundamentals of programming with R/3. Vectors and logicals operators.mp4
3.92MB
6. Fundamentals of programming with R/6. If, else, else if statements in R.mp4
9.67MB
6. Fundamentals of programming with R/8. If, else, else if statements - Keep-In-Mind's.mp4
6.45MB
6. Fundamentals of programming with R/9. For loops in R.mp4
11.55MB
7. Data frames/1. Intro.mp4
6.64MB
7. Data frames/10. Getting a sense of your data frame.mp4
8.93MB
7. Data frames/11. Indexing and slicing a data frame in R.mp4
10.09MB
7. Data frames/13. Extending a data frame in R.mp4
9.99MB
7. Data frames/15. Dealing with missing data in R.mp4
10.7MB
7. Data frames/2. Creating a data frame in R.mp4
18.98MB
7. Data frames/4. The Tidyverse package.mp4
15.18MB
7. Data frames/5. Data import in R.mp4
6.45MB
7. Data frames/6. Importing a CSV in R.mp4
8.18MB
7. Data frames/7. Data export in R.mp4
6.32MB
8. Manipulating data/1. Intro.mp4
15.47MB
8. Manipulating data/2. Data transformation with R - the Dplyr package - Part I.mp4
18.17MB
8. Manipulating data/3. Data transformation with R - the Dplyr package - Part II.mp4
7.36MB
8. Manipulating data/4. Sampling data with the Dplyr package.mp4
3.99MB
8. Manipulating data/5. Using the pipe operator in R.mp4
7.32MB
8. Manipulating data/8. Tidying data in R - gather() and separate().mp4
18.7MB
8. Manipulating data/9. Tidying data in R - unite() and spread().mp4
6.01MB
9. Visualizing data/1. Intro.mp4
6.66MB
9. Visualizing data/11. Building a scatterplot with ggplot2.mp4
16.84MB
9. Visualizing data/2. Intro to data visualization.mp4
7.38MB
9. Visualizing data/3. Intro to ggplot2.mp4
24.34MB
9. Visualizing data/4. Variables revisited.mp4
10.33MB
9. Visualizing data/5. Building a histogram with ggplot2.mp4
22.58MB
9. Visualizing data/7. Building a bar chart with ggplot2.mp4
12.21MB
9. Visualizing data/9. Building a box and whiskers plot with ggplot2.mp4
20.28MB
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