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TORRENT DETAILS

Udemy - R Programming Advanced Analytics In R For Data Science

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	0c7f217f11d421936678751f7a55e031dc7389dc
Size:	1.3 GB in 99 files
Release Date(s):	Torrent Release: 01-02-2020 by user
Swarm:	0 Seeds & 7 Peers
Vote:	No votes yet.

DESCRIPTION

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FILE LIST

Filename		Size
	1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.mp4	29.1 MB
	1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.vtt	8 KB
	1. Welcome To The Course/2. BONUS Learning Paths.html	2.4 KB
	1. Welcome To The Course/3. Some Additional Resources!!.html	620 B
	1. Welcome To The Course/ReadMe.txt	241 B
	2. Data Preparation/1. Welcome to this section. This is what you will learn!.mp4	26.7 MB
	2. Data Preparation/1. Welcome to this section. This is what you will learn!.vtt	3.7 KB
	2. Data Preparation/10. What is an NA.mp4	14 MB
	2. Data Preparation/10. What is an NA.vtt	7.6 KB
	2. Data Preparation/11. An Elegant Way To Locate Missing Data.mp4	48.4 MB
	2. Data Preparation/11. An Elegant Way To Locate Missing Data.vtt	13.8 KB
	2. Data Preparation/12. Data Filters which() for Non-Missing Data.mp4	30 MB
	2. Data Preparation/12. Data Filters which() for Non-Missing Data.vtt	12.5 KB
	2. Data Preparation/13. Data Filters is.na() for Missing Data.mp4	21.5 MB
	2. Data Preparation/13. Data Filters is.na() for Missing Data.vtt	7.4 KB
	2. Data Preparation/14. Removing records with missing data.mp4	26.3 MB
	2. Data Preparation/14. Removing records with missing data.vtt	6.4 KB
	2. Data Preparation/15. Reseting the dataframe index.mp4	39.2 MB
	2. Data Preparation/15. Reseting the dataframe index.vtt	6.7 KB
	2. Data Preparation/16. Replacing Missing Data Factual Analysis Method.mp4	24 MB
	2. Data Preparation/16. Replacing Missing Data Factual Analysis Method.vtt	9.4 KB
	2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).mp4	49 MB
	2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).vtt	18 KB
	2. Data Preparation/18. Replacing Missing Data Median Imputation Method (Part 2).mp4	15.6 MB
	2. Data Preparation/18. Replacing Missing Data Median Imputation Method (Part 2).vtt	6.3 KB
	2. Data Preparation/19. Replacing Missing Data Median Imputation Method (Part 3).mp4	19 MB
	2. Data Preparation/19. Replacing Missing Data Median Imputation Method (Part 3).vtt	8.6 KB
	2. Data Preparation/2. Project Brief Financial Review.mp4	6.8 MB
	2. Data Preparation/2. Project Brief Financial Review.vtt	4.1 KB
	2. Data Preparation/20. Replacing Missing Data Deriving Values Method.mp4	18.4 MB
	2. Data Preparation/20. Replacing Missing Data Deriving Values Method.vtt	5.9 KB
	2. Data Preparation/21. Visualizing results.mp4	31.9 MB
	2. Data Preparation/21. Visualizing results.vtt	15 KB
	2. Data Preparation/22. Section Recap.mp4	10.9 MB
	2. Data Preparation/22. Section Recap.vtt	7.8 KB
	2. Data Preparation/23. Data Preparation.html	121 B
	2. Data Preparation/3. Updates on Udemy Reviews.mp4	58.3 MB
	2. Data Preparation/3. Updates on Udemy Reviews.vtt	3.9 KB
	2. Data Preparation/4. Import Data into R.mp4	19.3 MB
	2. Data Preparation/4. Import Data into R.vtt	7.2 KB
	2. Data Preparation/5. What are Factors (Refresher).mp4	29.2 MB
	2. Data Preparation/5. What are Factors (Refresher).vtt	10.4 KB
	2. Data Preparation/6. The Factor Variable Trap.mp4	24.5 MB
	2. Data Preparation/6. The Factor Variable Trap.vtt	13.9 KB
	2. Data Preparation/7. FVT Example.mp4	22.5 MB
	2. Data Preparation/7. FVT Example.vtt	9.3 KB
	2. Data Preparation/8. gsub() and sub().mp4	33.1 MB
	2. Data Preparation/8. gsub() and sub().vtt	13.1 KB
	2. Data Preparation/9. Dealing with Missing Data.mp4	42.6 MB
	2. Data Preparation/9. Dealing with Missing Data.vtt	12.6 KB
	3. Lists in R/1. Welcome to this section. This is what you will learn!.mp4	17.8 MB
	3. Lists in R/1. Welcome to this section. This is what you will learn!.vtt	2.3 KB
	3. Lists in R/10. Creating A Timeseries Plot.mp4	38.3 MB
	3. Lists in R/10. Creating A Timeseries Plot.vtt	11.7 KB
	3. Lists in R/11. Section Recap.mp4	6.6 MB
	3. Lists in R/11. Section Recap.vtt	4.6 KB
	3. Lists in R/12. Lists in R.html	121 B
	3. Lists in R/2. Project Brief Machine Utilization.mp4	53.1 MB
	3. Lists in R/2. Project Brief Machine Utilization.vtt	25 KB
	3. Lists in R/3. Import Data Into R.mp4	15.4 MB
	3. Lists in R/3. Import Data Into R.vtt	7.9 KB
	3. Lists in R/4. Handling Date-Times in R.mp4	38.6 MB
	3. Lists in R/4. Handling Date-Times in R.vtt	13.6 KB
	3. Lists in R/5. R programming What is a List.mp4	36 MB
	3. Lists in R/5. R programming What is a List.vtt	14.2 KB
	3. Lists in R/6. Naming components of a list.mp4	11.7 MB
	3. Lists in R/6. Naming components of a list.vtt	6 KB
	3. Lists in R/7. Extracting components lists [] vs [[]] vs $.mp4	16.7 MB
	3. Lists in R/7. Extracting components lists [] vs [[]] vs $.vtt	9 KB
	3. Lists in R/8. Adding and deleting components.mp4	32.5 MB
	3. Lists in R/8. Adding and deleting components.vtt	12.5 KB
	3. Lists in R/9. Subsetting a list.mp4	24.3 MB
	3. Lists in R/9. Subsetting a list.vtt	10.9 KB
	4. Apply Family of Functions/1. Welcome to this section. This is what you will learn!.mp4	27.7 MB
	4. Apply Family of Functions/10. Using sapply().mp4	34.9 MB
	4. Apply Family of Functions/10. Using sapply().vtt	14.6 KB
	4. Apply Family of Functions/11. Nesting apply() functions.mp4	24.9 MB
	4. Apply Family of Functions/11. Nesting apply() functions.vtt	10.7 KB
	4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).mp4	32.4 MB
	4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).vtt	14.8 KB
	4. Apply Family of Functions/13. Section Recap.mp4	9.8 MB
	4. Apply Family of Functions/13. Section Recap.vtt	7.1 KB
	4. Apply Family of Functions/15. THANK YOU bonus video.mp4	52.2 MB
	4. Apply Family of Functions/2. Project Brief Weather Patterns.mp4	25.3 MB
	4. Apply Family of Functions/2. Project Brief Weather Patterns.vtt	12.8 KB
	4. Apply Family of Functions/3. Import Data into R.mp4	28.1 MB
	4. Apply Family of Functions/3. Import Data into R.vtt	13.6 KB
	4. Apply Family of Functions/4. R programming What is the Apply family.mp4	17.2 MB
	4. Apply Family of Functions/4. R programming What is the Apply family.vtt	10.4 KB
	4. Apply Family of Functions/5. Using apply().mp4	25.7 MB
	4. Apply Family of Functions/5. Using apply().vtt	11.7 KB
	4. Apply Family of Functions/6. Recreating the apply function with loops (advanced topic).mp4	19.8 MB
	4. Apply Family of Functions/6. Recreating the apply function with loops (advanced topic).vtt	10.2 KB
	4. Apply Family of Functions/7. Using lapply().mp4	38.7 MB
	4. Apply Family of Functions/7. Using lapply().vtt	14.6 KB
	4. Apply Family of Functions/8. Combining lapply() with [].mp4	24.8 MB
	4. Apply Family of Functions/8. Combining lapply() with [].vtt	9.9 KB
	4. Apply Family of Functions/9. Adding your own functions.mp4	28 MB
	4. Apply Family of Functions/9. Adding your own functions.vtt	12.3 KB

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