UD429 | 9FE7EED8018D527FBF789B097C9E7800CB93EAAA

UD429

Name	UD429	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.7 GB
Total Files	53
Hash	9FE7EED8018D527FBF789B097C9E7800CB93EAAA

/01 Welcome To The Course/
001 Welcome to the Advanced R Programming Course.mp4	48.4 MB
002 BONUS Learning Paths.html	2.3 KB
003 BONUS Interview with Hadley Wickham.html	2.4 KB
004 Get the materials.html	1.2 KB
005 Your Shortcut To Becoming A Better Data Scientist.html	4.9 KB
/02 Data Preparation/
006 Welcome to this section. This is what you will learn.mp4	50.1 MB
007 Project Brief Financial Review.mp4	7.9 MB
008 Updates on Udemy Reviews.mp4	21.4 MB
009 Import Data into R.mp4	24.7 MB
010 What are Factors (Refresher).mp4	39.4 MB
011 The Factor Variable Trap.mp4	30.2 MB
012 FVT Example.mp4	29.7 MB
013 gsub() and sub().mp4	46.1 MB
014 Dealing with Missing Data.mp4	47.8 MB
015 What is an NA.mp4	18.3 MB
016 An Elegant Way To Locate Missing Data.mp4	59.8 MB
017 Data Filters which() for Non-Missing Data.mp4	38.9 MB
018 Data Filters is.na() for Missing Data.mp4	27.2 MB
019 Removing records with missing data.mp4	31.6 MB
020 Reseting the dataframe index.mp4	46.0 MB
021 Replacing Missing Data Factual Analysis Method.mp4	33.1 MB
022 Replacing Missing Data Median Imputation Method (Part 1).mp4	65.0 MB
023 Replacing Missing Data Median Imputation Method (Part 2).mp4	21.0 MB
024 Replacing Missing Data Median Imputation Method (Part 3).mp4	25.6 MB
025 Replacing Missing Data Deriving Values Method.mp4	24.4 MB
026 Visualizing results.mp4	42.0 MB
027 Section Recap.mp4	11.6 MB
/03 Lists in R/
028 Welcome to this section. This is what you will learn.mp4	33.4 MB
029 Project Brief Machine Utilization.mp4	64.8 MB
030 Import Data Into R.mp4	19.5 MB
031 Handling Date-Times in R.mp4	52.5 MB
032 R programming What is a List.mp4	46.9 MB
033 Naming components of a list.mp4	14.6 MB
034 Extracting components lists [] vs [[]] vs.mp4	21.0 MB
035 Adding and deleting components.mp4	40.3 MB
036 Subsetting a list.mp4	30.0 MB
037 Creating A Timeseries Plot.mp4	48.1 MB
038 Section Recap.mp4	6.9 MB
/04 Apply Family of Functions/
039 Welcome to this section. This is what you will learn.mp4	51.9 MB
040 Project Brief Weather Patterns.mp4	33.5 MB
041 Import Data into R.mp4	35.4 MB
042 R programming What is the Apply family.mp4	19.6 MB
043 Using apply().mp4	34.5 MB
044 Recreating the apply function with loops (advanced topic).mp4	25.1 MB
045 Using lapply().mp4	51.0 MB
046 Combining lapply() with [].mp4	31.6 MB
047 Adding your own functions.mp4	34.8 MB
048 Using sapply().mp4	45.7 MB
049 Nesting apply() functions.mp4	32.3 MB
050 which.max() and which.min() (advanced topic).mp4	42.4 MB
051 Section Recap.mp4	10.3 MB
052 THANK YOU bonus video.mp4	54.8 MB
/05 Bonus Lectures/
053 YOUR SPECIAL BONUS.html	4.1 KB
Total files 53