FreeCourseWeb com Udemy Master for Statistics and Data Science

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/1. Introduction/

1. Introduction.mp4

2. Install R and RStudio.html

/.../10. data frames/

1. Data frames.mp4

2. creating data frames.html

3. data frame quiz.html

/11. lists/

1. Lists.mp4

2. list quiz.html

/.../12. Generating random numbers and splitting training and testing data/

1. sample().mp4

2. sample().html

3. sample() quiz.html

4. Subsetting data randomly with sample().mp4

5. test and train data.html

6. testtrain quiz.html

/.../13. Bernoulli random variables/

1. Binary random variables, sample space.mp4

2. Simulating Bernoulli random variables with rbinom().mp4

3. rbinom() exercise.html

4. Parameters - The population proportion.mp4

5. Sample statistics - mean() for calculating sample proportions.mp4

6. dbinom().mp4

7. dbinom() exercise.html

/.../14. Binomial random variables/

1. Binomial random variables.mp4

10. cdf and pbinom().mp4

11. pbinom().html

12. Other types of inequalities and intervals.mp4

13. Visualizing the cdf.mp4

14. The median.mp4

15. qbinom().mp4

16. qbinom().html

17. Problem-solving with qbinom().mp4

2. mean(rbinom()), Law of Large Numbers.mp4

3. Bernoulli trials - counting successes and failures.html

4. Generating Binomial random variables with rbinom().html

5. Estimating probabilities with mean() and rbinom().mp4

6. dbinom() intro.mp4

7. dbinom().html

8. Expected Value.mp4

9. Variance and Standard Deviation.mp4

/.../15. Binom.test/

1. binom.test.mp4

2. binom.test.html

/.../16. Hypergeometric distribution/

1. Hypergeometric random variables.mp4

/.../17. Normal Distribution/

1. Normal random variables and the empirical rule.mp4

10. Normal approximation to the binomial distribution.html

11. prop.test() one sample.html

12. prop.test two sample.html

13. prop.test two sample example.html

2. Empirical rule with rnorm().mp4

3. dnorm() and continuous distributions.mp4

4. pnorm() and the empirical rule.mp4

5. qnorm().mp4

6. rnorm(), mean, and sd.html

7. pnorm().html

8. dnorm() and plotting, continuous distributions.html

9. qnorm().html

/.../18. Sums, CLT, Normal Approximations/

1. Expected value of a sum.mp4

2. Standard deviation of a sum.mp4

3. Sums of normal random variable is normal.mp4

4. Mean and sd of binomial distribution, Normal approximation to the binomial.mp4

/.../19. Probability Geometric distribution/

1. Geometric random variables.mp4

2. rgeom().mp4

3. dgeom().mp4

4. dgeom().html

5. Expected value and standard deviation of geometric distribution.mp4

6. pgeom(), the cdf.mp4

7. pgeom().html

8. qgeom().mp4

9. qgeom() coding exercise.html

/.../2. Creating vectors and assignment/

1. Variables and assignment.mp4

10. colon .html

11. colon coding solution.mp4

12. seq().mp4

13. seq() quiz.html

14. seq() exercise 1.html

15. seq() exercise 1 solution.mp4

16. seq() exercise 2.html

17. seq() exercise 2 solution.mp4

18. rep().mp4

19. rep() quiz.html

2. Variables and assignment.html

20. rep() exercise 1.html

21. rep() exercise 1 solution.mp4

22. rep() exercise 2.html

23. rep() exercise 2 solution.mp4

3. Variables and assignment coding assignment.mp4

4. Variables and assignment.html

5. Vectors with c().mp4

6. vectors with c().html

7. Vectors with c() solution.mp4

8. The colon .mp4

9. Vector and colon quiz.html

/.../20. Probability Negative Binomial distribution/

1. Negative binomial random variables.mp4

2. rnbinom().mp4

3. dnbinom().mp4

4. dnbinom(), pnbinom(), qnbinom() coding exercise.html

5. Mean and standard deviation of negative binomial distribution.mp4

6. pnbinom().mp4

7. qnbinom().mp4

8. Normal approximation to the negative binomial coding exercise.html

/.../21. Probability Exponential Distribution/

1. Exponential random variables.mp4

2. rexp().mp4

3. rexp() coding exercise.html

4. dexp().mp4

5. Expected value and sd of exponential distribution.mp4

6. pexp() and memorylessness.mp4

7. pexp() coding exercise.html

8. qexp().mp4

9. qexp() coding exercise.html

/.../22. Probability Gamma distribution/

1. Gamma distribution and rgamma().mp4

2. Expected value and standard deviation of gamma distribution.mp4

3. dgamma() and pgamma().mp4

4. qgamma().mp4

5. pgamma() and qgamma() coding exercise.html

6. Normal approximation to gamma distribution.mp4

7. Normal approximation to gamma distribution coding exercise.html

/.../23. Probability Poisson distribution/

1. Poisson distribution and rpois().mp4

10. Dealing with different time periods.mp4

11. Normal approximation to the Poisson distribution.mp4

12. Poisson Normal Approximation coding exercise.html

2. rpois() coding exercise.html

3. dpois().mp4

4. dpois() coding exercise.html

5. Expected value and standard deviation.mp4

6. ppois().mp4

7. ppois() coding exercise.html

8. qpois().mp4

9. qpois() coding exercise.html

/.../24. Probability Uniform distribution/

1. Uniform distribution, runif() and dunif().mp4

10. chisq.test.html

11. aov().html

12. filter().html

13. select().html

14. glm().html

15. accuracy.html

16. precision and recall.html

17. 1 sample t test by hand.html

18. t.test() one sample.html

19. 1 mean t interval.html

2. Mean and standard deviation of the uniform distribution.mp4

20. 1 proportion interval, binom.test, prop.test.html

21. lm().html

22. predict.html

23. MSE.html

3. punif().mp4

4. qunif() and the inverse transform method.mp4

5. punif() and qunif() coding exercise.html

6. Inverse transform coding exercise.html

7. rchisq(), pchisq(), qchisq().html

8. table().html

9. chi-square goodness of fit test by hand.html

/3. Vectorized operations/

1. Introduction to vectorized operations.mp4

2. Vectorized operations quiz.html

3. Adding a number to all elements of a vector.html

4. Adding a number to all elements of a vector solution.mp4

5. Converting Celsius to Fahrenheit.html

6. Converting Celsius to Fahrenheit solution.mp4

7. Adding two vectors - weights of twins.html

8. Adding two vectors - weights of twins solution.mp4

/.../4. Basic functions on vectors/

1. Common functions in R.mp4

2. mean(), median(), sum(), length().html

3. mean() median() sum() length() solution.mp4

4. sd() and var().html

5. sd() and var() solution.mp4

6. summary().html

7. summary() solution.mp4

8. Missing data and na.rm.mp4

/5. Subsetting vectors/

1. Basics of subsetting.mp4

2. Subsetting quiz 1.html

3. subsetting.html

4. subsetting with c().html

5. subsetting with .html

6. removing elements with -.html

/6. Booleans/

1. Booleans.mp4

2. Boolean Quiz 1.html

3. ==, , , =, =.html

4. Subsetting a vector with a boolean.mp4

/7. Matrix basics/

1. Creating matrices with cbind and rbind.mp4

2. cbind() and rbind().html

3. cbind and rbind quiz.html

4. Creating matrices with matrix().mp4

5. matrix() quiz.html

6. matrix() 1.html

7. dim(), nrow(), ncol() quiz.html

/8. Matrix subsetting/

1. Matrix subsetting.mp4

2. Matrix subsetting quiz 1.html

3. matrix subsetting rows and columns.html

4. matrix subsetting, only certain columns.html

5. matrix subsetting, only certain rows.html

6. Matrix subsetting with booleans.mp4

7. matrix subsetting, rows that meet a boolean criterion.html

/9. Matrix operations/

1. apply().mp4

2. apply() quiz 1.html

3. rowSums() and rowMeans().html

4. apply().html

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