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Udemy Master R for Statistics and Data Science FreeCourseWeb

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Files:

Get Bonus Downloads Here.url 183 bytes
1. Introduction.mp4 18.1 MB
2. Install R and RStudio.html 428 bytes
1. Data frames.mp4 15.6 MB
2. creating data frames.html 119 bytes
3. data frame quiz.html 119 bytes
1. Lists.mp4 21.0 MB
2. list quiz.html 119 bytes
1. sample().mp4 12.5 MB
2. sample().html 119 bytes
3. sample() quiz.html 119 bytes
4. Subsetting data randomly with sample().mp4 27.4 MB
5. test and train data.html 119 bytes
6. testtrain quiz.html 119 bytes
1. Binary random variables, sample space.mp4 54.1 MB
2. Simulating Bernoulli random variables with rbinom().mp4 83.8 MB
3. rbinom() exercise.html 119 bytes
4. Parameters - The population proportion.mp4 46.1 MB
5. Sample statistics - mean() for calculating sample proportions.mp4 41.8 MB
6. dbinom().mp4 35.2 MB
7. dbinom() exercise.html 119 bytes
1. Binomial random variables.mp4 89.8 MB
10. cdf and pbinom().mp4 83.0 MB
11. pbinom().html 119 bytes
12. Other types of inequalities and intervals.mp4 55.8 MB
13. Visualizing the cdf.mp4 26.3 MB
14. The median.mp4 50.7 MB
15. qbinom().mp4 75.3 MB
16. qbinom().html 119 bytes
17. Problem-solving with qbinom().mp4 44.8 MB
2. mean(rbinom()), Law of Large Numbers.mp4 34.8 MB
3. Bernoulli trials - counting successes and failures.html 119 bytes
4. Generating Binomial random variables with rbinom().html 119 bytes
5. Estimating probabilities with mean() and rbinom().mp4 29.1 MB
6. dbinom() intro.mp4 19.0 MB
7. dbinom().html 119 bytes
8. Expected Value.mp4 78.5 MB
9. Variance and Standard Deviation.mp4 85.6 MB
1. binom.test.mp4 22.4 MB
2. binom.test.html 119 bytes
1. Hypergeometric random variables.mp4 110.3 MB
1. Normal random variables and the empirical rule.mp4 75.7 MB
10. Normal approximation to the binomial distribution.html 119 bytes
11. prop.test() one sample.html 119 bytes
12. prop.test two sample.html 119 bytes
13. prop.test two sample example.html 119 bytes
2. Empirical rule with rnorm().mp4 41.8 MB
3. dnorm() and continuous distributions.mp4 93.9 MB
4. pnorm() and the empirical rule.mp4 11.5 MB
5. qnorm().mp4 60.6 MB
6. rnorm(), mean, and sd.html 119 bytes
7. pnorm().html 119 bytes
8. dnorm() and plotting, continuous distributions.html 119 bytes
9. qnorm().html 119 bytes
1. Expected value of a sum.mp4 28.5 MB
2. Standard deviation of a sum.mp4 23.2 MB
3. Sums of normal random variable is normal.mp4 8.1 MB
4. Mean and sd of binomial distribution, Normal approximation to the binomial.mp4 29.9 MB
1. Geometric random variables.mp4 30.0 MB
2. rgeom().mp4 13.3 MB
3. dgeom().mp4 42.9 MB
4. dgeom().html 119 bytes
5. Expected value and standard deviation of geometric distribution.mp4 39.9 MB
6. pgeom(), the cdf.mp4 27.7 MB
7. pgeom().html 119 bytes
8. qgeom().mp4 29.0 MB
9. qgeom() coding exercise.html 119 bytes
1. Variables and assignment.mp4 6.3 MB
10. colon .html 119 bytes
11. colon coding solution.mp4 2.1 MB
12. seq().mp4 11.8 MB
13. seq() quiz.html 119 bytes
14. seq() exercise 1.html 119 bytes
15. seq() exercise 1 solution.mp4 3.3 MB
16. seq() exercise 2.html 119 bytes
17. seq() exercise 2 solution.mp4 3.3 MB
18. rep().mp4 9.5 MB
19. rep() quiz.html 119 bytes
2. Variables and assignment.html 119 bytes
20. rep() exercise 1.html 119 bytes
21. rep() exercise 1 solution.mp4 4.1 MB
22. rep() exercise 2.html 119 bytes
23. rep() exercise 2 solution.mp4 4.3 MB
3. Variables and assignment coding assignment.mp4 5.7 MB
4. Variables and assignment.html 119 bytes
5. Vectors with c().mp4 9.7 MB
6. vectors with c().html 119 bytes
7. Vectors with c() solution.mp4 2.4 MB
8. The colon .mp4 4.7 MB
9. Vector and colon quiz.html 119 bytes
1. Negative binomial random variables.mp4 38.2 MB
2. rnbinom().mp4 20.8 MB
3. dnbinom().mp4 49.2 MB
4. dnbinom(), pnbinom(), qnbinom() coding exercise.html 119 bytes
5. Mean and standard deviation of negative binomial distribution.mp4 16.5 MB
6. pnbinom().mp4 26.7 MB
7. qnbinom().mp4 57.0 MB
8. Normal approximation to the negative binomial coding exercise.html 119 bytes
1. Exponential random variables.mp4 29.4 MB
2. rexp().mp4 20.2 MB
3. rexp() coding exercise.html 119 bytes
4. dexp().mp4 9.3 MB
5. Expected value and sd of exponential distribution.mp4 32.0 MB
6. pexp() and memorylessness.mp4 41.4 MB
7. pexp() coding exercise.html 119 bytes
8. qexp().mp4 7.7 MB
9. qexp() coding exercise.html 119 bytes
1. Gamma distribution and rgamma().mp4 33.0 MB
2. Expected value and standard deviation of gamma distribution.mp4 18.8 MB
3. dgamma() and pgamma().mp4 17.2 MB
4. qgamma().mp4 10.8 MB
5. pgamma() and qgamma() coding exercise.html 119 bytes
6. Normal approximation to gamma distribution.mp4 37.3 MB
7. Normal approximation to gamma distribution coding exercise.html 119 bytes
1. Poisson distribution and rpois().mp4 64.8 MB
10. Dealing with different time periods.mp4 29.8 MB
11. Normal approximation to the Poisson distribution.mp4 31.6 MB
12. Poisson Normal Approximation coding exercise.html 119 bytes
2. rpois() coding exercise.html 119 bytes
3. dpois().mp4 15.4 MB
4. dpois() coding exercise.html 119 bytes
5. Expected value and standard deviation.mp4 16.3 MB
6. ppois().mp4 11.9 MB
7. ppois() coding exercise.html 119 bytes
8. qpois().mp4 9.6 MB
9. qpois() coding exercise.html 119 bytes
1. Uniform distribution, runif() and dunif().mp4 35.8 MB
10. chisq.test.html 119 bytes
11. aov().html 119 bytes
12. filter().html 119 bytes
13. select().html 119 bytes
14. glm().html 119 bytes
15. accuracy.html 119 bytes
16. precision and recall.html 119 bytes
17. 1 sample t test by hand.html 119 bytes
18. t.test() one sample.html 119 bytes
19. 1 mean t interval.html 119 bytes
2. Mean and standard deviation of the uniform distribution.mp4 7.8 MB
20. 1 proportion interval, binom.test, prop.test.html 119 bytes
21. lm().html 119 bytes
22. predict.html 119 bytes
23. MSE.html 119 bytes
3. punif().mp4 10.3 MB
4. qunif() and the inverse transform method.mp4 38.1 MB
5. punif() and qunif() coding exercise.html 119 bytes
6. Inverse transform coding exercise.html 119 bytes
7. rchisq(), pchisq(), qchisq().html 119 bytes
8. table().html 119 bytes
9. chi-square goodness of fit test by hand.html 119 bytes
1. Introduction to vectorized operations.mp4 9.9 MB
2. Vectorized operations quiz.html 119 bytes
3. Adding a number to all elements of a vector.html 119 bytes
4. Adding a number to all elements of a vector solution.mp4 5.3 MB
5. Converting Celsius to Fahrenheit.html 119 bytes
6. Converting Celsius to Fahrenheit solution.mp4 8.6 MB
7. Adding two vectors - weights of twins.html 119 bytes
8. Adding two vectors - weights of twins solution.mp4 8.5 MB
1. Common functions in R.mp4 23.8 MB
2. mean(), median(), sum(), length().html 119 bytes
3. mean() median() sum() length() solution.mp4 9.9 MB
4. sd() and var().html 119 bytes
5. sd() and var() solution.mp4 7.4 MB
6. summary().html 119 bytes
7. summary() solution.mp4 12.2 MB
8. Missing data and na.rm.mp4 5.9 MB
1. Basics of subsetting.mp4 17.0 MB
2. Subsetting quiz 1.html 119 bytes
3. subsetting.html 119 bytes
4. subsetting with c().html 119 bytes
5. subsetting with .html 119 bytes
6. removing elements with -.html 119 bytes
1. Booleans.mp4 23.1 MB
2. Boolean Quiz 1.html 119 bytes
3. ==, , , =, =.html 119 bytes
4. Subsetting a vector with a boolean.mp4 7.4 MB
1. Creating matrices with cbind and rbind.mp4 12.7 MB
2. cbind() and rbind().html 119 bytes
3. cbind and rbind quiz.html 119 bytes
4. Creating matrices with matrix().mp4 16.9 MB
5. matrix() quiz.html 119 bytes
6. matrix() 1.html 119 bytes
7. dim(), nrow(), ncol() quiz.html 119 bytes
1. Matrix subsetting.mp4 8.9 MB
2. Matrix subsetting quiz 1.html 119 bytes
3. matrix subsetting rows and columns.html 119 bytes
4. matrix subsetting, only certain columns.html 119 bytes
5. matrix subsetting, only certain rows.html 119 bytes
6. Matrix subsetting with booleans.mp4 11.3 MB
7. matrix subsetting, rows that meet a boolean criterion.html 119 bytes
1. apply().mp4 28.6 MB
2. apply() quiz 1.html 119 bytes
3. rowSums() and rowMeans().html 119 bytes
4. apply().html 119 bytes
Bonus Resources.txt 386 bytes

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