Download Udemy - Master R for Statistics and Data Science torrent

Udemy - Master R for Statistics and Data Science

Torrent:	Udemy - Master R for Statistics and Data Science
Description:	Master R for Statistics and Data Science https://FreeCourseWeb.com Published 3/2024 Created by Brian Greco MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English \| Duration: 97 Lectures ( 5h 53m ) \| Size: 2.67 GB A former Google data scientist teaches you R starting with the basics, and learning common tools for data science. What you'll learn: Master the basic parts of R like vectors and matrices Learn more complex data structures like data frames and lists Learn R's probability functions for simulating data and calculating probabilities Practice these skills using Udemy's built-in coding exercises Requirements: Some experience in programming or statistics is helpful, but no prior knowledge is assumed.
Downloads:	23
Category:	Other /Tutorials
Size:	2.7 GB
Show Files »	[ FreeCourseWeb.com ] Udemy - Master R for Statistics and Data Science Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Introduction.mp4 (18.1 MB) 2. Install R and RStudio.html (0.4 KB) 10. data frames 1. Data frames.mp4 (15.6 MB) 2. creating data frames.html (0.1 KB) 3. data frame quiz.html (0.1 KB) 11. lists 1. Lists.mp4 (21.0 MB) 2. list quiz.html (0.1 KB) 12. Generating random numbers and splitting training and testing data 1. sample().mp4 (12.5 MB) 2. sample().html (0.1 KB) 3. sample() quiz.html (0.1 KB) 4. Subsetting data randomly with sample().mp4 (27.4 MB) 5. test and train data.html (0.1 KB) 6. testtrain quiz.html (0.1 KB) 13. Bernoulli random variables 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 (0.1 KB) 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 (0.1 KB) 14. Binomial random variables 1. Binomial random variables.mp4 (89.8 MB) 10. cdf and pbinom().mp4 (83.0 MB) 11. pbinom().html (0.1 KB) 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 (0.1 KB) 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 (0.1 KB) 4. Generating Binomial random variables with rbinom().html (0.1 KB) 5. Estimating probabilities with mean() and rbinom().mp4 (29.1 MB) 6. dbinom() intro.mp4 (19.0 MB) 7. dbinom().html (0.1 KB) 8. Expected Value.mp4 (78.5 MB) 9. Variance and Standard Deviation.mp4 (85.6 MB) 15. Binom.test 1. binom.test.mp4 (22.4 MB) 2. binom.test.html (0.1 KB) 16. Hypergeometric distribution 1. Hypergeometric random variables.mp4 (110.3 MB) 17. Normal Distribution 1. Normal random variables and the empirical rule.mp4 (75.7 MB) 10. Normal approximation to the binomial distribution.html (0.1 KB) 11. prop.test() one sample.html (0.1 KB) 12. prop.test two sample.html (0.1 KB) 13. prop.test two sample example.html (0.1 KB) 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 (0.1 KB) 7. pnorm().html (0.1 KB) 8. dnorm() and plotting, continuous distributions.html (0.1 KB) 9. qnorm().html (0.1 KB) 18. Sums, CLT, Normal Approximations 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) 19. Probability Geometric distribution 1. Geometric random variables.mp4 (30.0 MB) 2. rgeom().mp4 (13.3 MB) 3. dgeom().mp4 (42.9 MB) 4. dgeom().html (0.1 KB) 5. Expected value and standard deviation of geometric distribution.mp4 (39.9 MB) 6. pgeom(), the cdf.mp4 (27.7 MB) 7. pgeom().html (0.1 KB) 8. qgeom().mp4 (29.0 MB) 9. qgeom() coding exercise.html (0.1 KB) 2. Creating vectors and assignment 1. Variables and assignment.mp4 (6.3 MB) 10. colon .html (0.1 KB) 11. colon coding solution.mp4 (2.1 MB) 12. seq().mp4 (11.8 MB) 13. seq() quiz.html (0.1 KB) 14. seq() exercise 1.html (0.1 KB) 15. seq() exercise 1 solution.mp4 (3.3 MB) 16. seq() exercise 2.html (0.1 KB) 17. seq() exercise 2 solution.mp4 (3.3 MB) 18. rep().mp4 (9.5 MB) 19. rep() quiz.html (0.1 KB) 2. Variables and assignment.html (0.1 KB) 20. rep() exercise 1.html (0.1 KB) 21. rep() exercise 1 solution.mp4 (4.1 MB) 22. rep() exercise 2.html (0.1 KB) 23. rep() exercise 2 solution.mp4 (4.3 MB) 3. Variables and assignment coding assignment.mp4 (5.7 MB) 4. Variables and assignment.html (0.1 KB) 5. Vectors with c().mp4 (9.7 MB) 6. vectors with c().html (0.1 KB) 7. Vectors with c() solution.mp4 (2.4 MB) 8. The colon .mp4 (4.7 MB) 9. Vector and colon quiz.html (0.1 KB) 20. Probability Negative Binomial distribution 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 (0.1 KB) 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 (0.1 KB) 21. Probability Exponential Distribution 1. Exponential random variables.mp4 (29.4 MB) 2. rexp().mp4 (20.2 MB) 3. rexp() coding exercise.html (0.1 KB) 4. dexp().mp4 (9.3 MB) 5. Expected value an files
Added:	2024-03-22 20:16:59
Language:	English
Peers:	Seeders : 1 , Leechers : 50
Tags:	Engineering Udemy
Release name:	Udemy - Master R for Statistics and Data Science
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