[Tutorialsplanet.NET] Udemy - R Programming for Statistics and Data Science 2020

Torrent Hash:
199DC8BDC1A21108279D6C3C1350B2CB4393D4D9
Number of Files:
297
Content Size:
1.76GB
Convert On:
2020-10-06
Magnet Link:
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File Name
Size
1. Introduction/1. Ten Things You Will Learn in This Course.mp4
48.91MB
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1. Introduction/1. Ten Things You Will Learn in This Course.srt
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10. Exploratory data analysis/1. Population vs. sample.mp4
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10. Exploratory data analysis/1. Population vs. sample.srt
5.46KB
10. Exploratory data analysis/2. Mean, median, mode.mp4
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10. Exploratory data analysis/2. Mean, median, mode.srt
6.92KB
10. Exploratory data analysis/3. Skewness.mp4
7.54MB
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10. Exploratory data analysis/3. Skewness.srt
4.05KB
10. Exploratory data analysis/4. Exercise 25 Determining Skewness.html
197B
10. Exploratory data analysis/4.1 Determining the skew - solution.html
123B
10. Exploratory data analysis/4.2 skew_1.csv
156B
10. Exploratory data analysis/4.3 skew_2.csv
161B
10. Exploratory data analysis/5. Variance, standard deviation, and coefficient of variability.mp4
11.36MB
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10. Exploratory data analysis/5. Variance, standard deviation, and coefficient of variability.srt
8.38KB
10. Exploratory data analysis/6. Covariance and correlation.mp4
14.1MB
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10. Exploratory data analysis/6. Covariance and correlation.srt
8.93KB
10. Exploratory data analysis/6.1 landdata-states.csv
463.53KB
10. Exploratory data analysis/7. Exercise 26 Practical example with real estate data.html
1.05KB
10. Exploratory data analysis/7.1 practical_product.csv
13.41KB
10. Exploratory data analysis/7.2 Practical Example RE Data - Solution.html
136B
10. Exploratory data analysis/7.3 practical_customer.csv
16.4KB
11. Hypothesis Testing/1. Distributions.mp4
106.95MB
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11. Hypothesis Testing/1. Distributions.srt
8.68KB
11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4
49.26MB
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11. Hypothesis Testing/10. Comparing two means - Dependent samples.srt
9.55KB
11. Hypothesis Testing/10.1 dependent-samples.csv
102B
11. Hypothesis Testing/11. Exercise Comparing two means - Dependent samples.html
692B
11. Hypothesis Testing/11.1 weight_data_exercise_lbs.csv
237B
11. Hypothesis Testing/11.2 Comparing two means - dependent samples - exercise solution.html
168B
11. Hypothesis Testing/11.3 weight_data_exercise_kg.csv
264B
11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4
44.36MB
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11. Hypothesis Testing/12. Comparing two means - Independent samples.srt
7.64KB
11. Hypothesis Testing/12.1 independent-samples.csv
664B
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4
65.66MB
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11. Hypothesis Testing/2. Standard Error and Confidence Intervals.srt
11.56KB
11. Hypothesis Testing/3. Hypothesis testing.mp4
82.2MB
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11. Hypothesis Testing/3. Hypothesis testing.srt
10.26KB
11. Hypothesis Testing/3.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf
700.23KB
11. Hypothesis Testing/4. Type I and Type II errors.mp4
41.66MB
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11. Hypothesis Testing/4. Type I and Type II errors.srt
4.49KB
11. Hypothesis Testing/4.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf
700.23KB
11. Hypothesis Testing/5. Test for the mean - population variance known.mp4
58.64MB
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11. Hypothesis Testing/5. Test for the mean - population variance known.srt
9.53KB
11. Hypothesis Testing/5.1 ztest-a.csv
234B
11. Hypothesis Testing/6. Exercise Test for the mean - population variance known.html
380B
11. Hypothesis Testing/6.1 ztest-a.csv
234B
11. Hypothesis Testing/6.2 Test for the mean - population variance known exercise solution.html
178B
11. Hypothesis Testing/7. The P-value.mp4
60.64MB
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11. Hypothesis Testing/7. The P-value.srt
6.48KB
11. Hypothesis Testing/7.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf
700.23KB
11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4
54.76MB
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11. Hypothesis Testing/8. Test for the mean - Population variance unknown.srt
7.12KB
11. Hypothesis Testing/8.1 ttest-a.csv
70B
11. Hypothesis Testing/9. Exercise Test for the mean - population variance unknown.html
548B
11. Hypothesis Testing/9.1 Test for the mean - population variance unknown exercise solution.html
180B
11. Hypothesis Testing/9.2 ttest-a.csv
70B
12. Linear Regression Analysis/1. The linear regression model.mp4
57.54MB
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12. Linear Regression Analysis/2. Correlation vs regression.mp4
15.48MB
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12. Linear Regression Analysis/4. First regression in R.mp4
37.93MB
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12. Linear Regression Analysis/6. Exercise Doing a regression in R.html
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3.39KB
12. Linear Regression Analysis/6.2 Linear regression in R - solution.html
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12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4
49.19MB
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12. Linear Regression Analysis/8. R-squared.mp4
34.41MB
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1.19KB
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1.3KB
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154B
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24.6MB
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151B
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3. The building blocks of R/2. Exercise 1 Creating an object in R.html
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150B
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3.38MB
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1.91KB
5. Matrices/6. Indexing an element from a matrix.mp4
15.19MB
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4.6KB
5. Matrices/7. Slicing a matrix in R.mp4
7.37MB
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3.73KB
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156B
5. Matrices/9. Matrix arithmetic.mp4
14.31MB
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132B
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130B
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7.94MB
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5.56KB
6. Fundamentals of programming with R/12. Exercise While loops in R.html
134B
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132B
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6.46MB
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156B
6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4
31.78MB
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6.67KB
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136B
6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4
51.76MB
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6.71KB
6. Fundamentals of programming with R/17. Exercise Scoping.html
350B
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126B
6. Fundamentals of programming with R/18. Completed 50% of the course.html
1.13KB
6. Fundamentals of programming with R/2. Logical operators in R.mp4
5.08MB
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3.01KB
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156B
6. Fundamentals of programming with R/5. Exercise Logical operators.html
67B
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138B
6. Fundamentals of programming with R/6. If, else, else if statements in R.mp4
9.67MB
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1.32KB
6. Fundamentals of programming with R/7.1 If, else, else if - exercise solution.html
140B
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6.45MB
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4.82KB
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11.55MB
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5.18KB
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50.46KB
7. Data frames/11. Indexing and slicing a data frame in R.mp4
10.08MB
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7. Data frames/11. Indexing and slicing a data frame in R.srt
5.57KB
7. Data frames/12. Data frame operations.html
156B
7. Data frames/13. Extending a data frame in R.mp4
9.98MB
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5.16KB
7. Data frames/14. Exercise 18 Data frame operations.html
1.2KB
7. Data frames/14.1 Data frames operations - solution.html
144B
7. Data frames/15. Dealing with missing data in R.mp4
10.69MB
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6.29KB
7. Data frames/2. Creating a data frame in R.mp4
18.98MB
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7. Data frames/2. Creating a data frame in R.srt
6.66KB
7. Data frames/3. Exercise 16 Creating a data frame in R.html
566B
7. Data frames/3.1 Creating a data frame in R - solution.html
146B
7. Data frames/4. The Tidyverse package.mp4
15.18MB
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4.03KB
7. Data frames/5. Data import in R.mp4
6.45MB
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7. Data frames/5. Data import in R.srt
4.75KB
7. Data frames/5.1 pokRdex_comma.csv
50.46KB
7. Data frames/5.2 pokRdex_tab.txt
111.49KB
7. Data frames/6. Importing a CSV in R.mp4
8.17MB
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4.04KB
7. Data frames/7. Data export in R.mp4
6.32MB
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7. Data frames/7. Data export in R.srt
3.52KB
7. Data frames/8. Exercise 17 Importing and exporting data in R.html
744B
7. Data frames/8.1 employee_data.csv
74.4KB
7. Data frames/8.2 Importing and exporting data in R - solution.html
162B
7. Data frames/9. Creating data frames.html
156B
8. Manipulating data/1. Intro.mp4
15.47MB
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8. Manipulating data/10. Tidying data.html
156B
8. Manipulating data/11. Exercise 20 Data tidying with Tidyr.html
696B
8. Manipulating data/11.1 Data tidying with Tidyr - solution.html
148B
8. Manipulating data/11.2 tb_untidy.csv
14.45KB
8. Manipulating data/11.3 weather_untidy.csv
2.81KB
8. Manipulating data/2. Data transformation with R - the Dplyr package - Part I.mp4
18.18MB
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6.86KB
8. Manipulating data/3. Data transformation with R - the Dplyr package - Part II.mp4
7.37MB
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4.15KB
8. Manipulating data/4. Sampling data with the Dplyr package.mp4
3.99MB
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2.11KB
8. Manipulating data/5. Using the pipe operator in R.mp4
7.33MB
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8. Manipulating data/5. Using the pipe operator in R.srt
3.66KB
8. Manipulating data/6. Manipulating data.html
156B
8. Manipulating data/7. Exercise 19 Data transformation with Dplyr.html
935B
8. Manipulating data/7.1 Data transformation with Dplyr - solution.html
155B
8. Manipulating data/8. Tidying data in R - gather() and separate().mp4
18.69MB
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8. Manipulating data/8. Tidying data in R - gather() and separate().srt
9KB
8. Manipulating data/8.1 tb.csv
10.89KB
8. Manipulating data/8.2 billboard.csv
95.34KB
8. Manipulating data/9. Tidying data in R - unite() and spread().mp4
6.01MB
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8. Manipulating data/9.1 weather.csv
1.88KB
9. Visualizing data/1. Intro.mp4
6.67MB
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9. Visualizing data/1. Intro.srt
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9. Visualizing data/10. Exercise 23 Building a box plot with ggplot2.html
1.12KB
9. Visualizing data/10.1 Building a boxplot with ggplot2 - solution.html
158B
9. Visualizing data/11. Building a scatterplot with ggplot2.mp4
16.83MB
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9. Visualizing data/11. Building a scatterplot with ggplot2.srt
7.38KB
9. Visualizing data/2. Intro to data visualization.mp4
7.39MB
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9. Visualizing data/2. Intro to data visualization.srt
4.8KB
9. Visualizing data/3. Intro to ggplot2.mp4
24.34MB
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9. Visualizing data/3. Intro to ggplot2.srt
8.58KB
9. Visualizing data/3.1 hdi-cpi.csv
6.34KB
9. Visualizing data/4. Variables revisited.mp4
10.33MB
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9. Visualizing data/4. Variables revisited.srt
6.92KB
9. Visualizing data/5. Building a histogram with ggplot2.mp4
22.58MB
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9. Visualizing data/5. Building a histogram with ggplot2.srt
8.76KB
9. Visualizing data/5.1 titanic.csv
59.76KB
9. Visualizing data/6. Exercise 21 Building a histogram with ggplot2.html
631B
9. Visualizing data/6.1 employee-data.csv
74.4KB
9. Visualizing data/6.2 Building a histogram with ggplot2 - solution.html
160B
9. Visualizing data/7. Building a bar chart with ggplot2.mp4
12.2MB
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9. Visualizing data/7. Building a bar chart with ggplot2.srt
8.74KB
9. Visualizing data/8. Exercise 22 Building a bar chart with ggplot2.html
771B
9. Visualizing data/8.1 Building a bar chart with ggplot2 - solution.html
162B
9. Visualizing data/9. Building a box and whiskers plot with ggplot2.mp4
20.27MB
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9. Visualizing data/9. Building a box and whiskers plot with ggplot2.srt
8.13KB
[Tutorialsplanet.NET].url
128B

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