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


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Torrent File Content (297 files)


[Tutorialsplanet.NET] Udemy - R Programming for Statistics and Data Science 2020
    1. Introduction
          1. Ten Things You Will Learn in This Course.mp4 -
48.91 MB

          1. Ten Things You Will Learn in This Course.srt -
4.16 KB

    10. Exploratory data analysis
          1. Population vs. sample.mp4 -
12.2 MB

          1. Population vs. sample.srt -
5.46 KB

          2. Mean, median, mode.mp4 -
10.48 MB

          2. Mean, median, mode.srt -
6.92 KB

          3. Skewness.mp4 -
7.54 MB

          3. Skewness.srt -
4.05 KB

          4. Exercise 25 Determining Skewness.html -
197 bytes

          4.1 Determining the skew - solution.html -
123 bytes

          4.2 skew_1.csv -
156 bytes

          4.3 skew_2.csv -
161 bytes

          5. Variance, standard deviation, and coefficient of variability.mp4 -
11.36 MB

          5. Variance, standard deviation, and coefficient of variability.srt -
8.38 KB

          6. Covariance and correlation.mp4 -
14.1 MB

          6. Covariance and correlation.srt -
8.93 KB

          6.1 landdata-states.csv -
463.53 KB

          7. Exercise 26 Practical example with real estate data.html -
1.05 KB

          7.1 practical_product.csv -
13.41 KB

          7.2 Practical Example RE Data - Solution.html -
136 bytes

          7.3 practical_customer.csv -
16.4 KB

    11. Hypothesis Testing
          1. Distributions.mp4 -
106.95 MB

          1. Distributions.srt -
8.68 KB

          10. Comparing two means - Dependent samples.mp4 -
49.26 MB

          10. Comparing two means - Dependent samples.srt -
9.55 KB

          10.1 dependent-samples.csv -
102 bytes

          11. Exercise Comparing two means - Dependent samples.html -
692 bytes

          11.1 weight_data_exercise_lbs.csv -
237 bytes

          11.2 Comparing two means - dependent samples - exercise solution.html -
168 bytes

          11.3 weight_data_exercise_kg.csv -
264 bytes

          12. Comparing two means - Independent samples.mp4 -
44.36 MB

          12. Comparing two means - Independent samples.srt -
7.64 KB

          12.1 independent-samples.csv -
664 bytes

          2. Standard Error and Confidence Intervals.mp4 -
65.66 MB

          2. Standard Error and Confidence Intervals.srt -
11.56 KB

          3. Hypothesis testing.mp4 -
82.2 MB

          3. Hypothesis testing.srt -
10.26 KB

          3.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf -
700.23 KB

          4. Type I and Type II errors.mp4 -
41.66 MB

          4. Type I and Type II errors.srt -
4.49 KB

          4.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf -
700.23 KB

          5. Test for the mean - population variance known.mp4 -
58.64 MB

          5. Test for the mean - population variance known.srt -
9.53 KB

          5.1 ztest-a.csv -
234 bytes

          6. Exercise Test for the mean - population variance known.html -
380 bytes

          6.1 ztest-a.csv -
234 bytes

          6.2 Test for the mean - population variance known exercise solution.html -
178 bytes

          7. The P-value.mp4 -
60.64 MB

          7. The P-value.srt -
6.48 KB

          7.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf -
700.23 KB

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