Udemy - R Programming: Advanced Analytics In R For Data Science

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[DesireCourse.Com] Udemy - R Programming Advanced Analytics In R For Data Science 01 Welcome To The Course
  • 001 Welcome to the Advanced R Programming Course.mp4 (46.1 MB)
02 Data Preparation
  • 002 Welcome to this section. This is what you will learn.mp4 (47.7 MB)
  • 003 Project Brief Financial Review.mp4 (7.5 MB)
  • 004 Import Data into R.mp4 (23.6 MB)
  • 005 What are Factors Refresher.mp4 (37.6 MB)
  • 006 The Factor Variable Trap.mp4 (28.8 MB)
  • 007 FVT Example.mp4 (28.3 MB)
  • 008 gsub and sub.mp4 (44.0 MB)
  • 009 Dealing with Missing Data.mp4 (45.6 MB)
  • 010 What is an NA.mp4 (17.4 MB)
  • 011 An Elegant Way To Locate Missing Data.mp4 (57.1 MB)
  • 012 Data Filters which for Non-Missing Data.mp4 (37.1 MB)
  • 013 Data Filters is.na for Missing Data.mp4 (26.0 MB)
  • 014 Removing records with missing data.mp4 (30.2 MB)
  • 015 Reseting the dataframe index.mp4 (43.9 MB)
  • 016 Replacing Missing Data Factual Analysis Method.mp4 (31.6 MB)
  • 017 Replacing Missing Data Median Imputation Method Part 1.mp4 (61.9 MB)
  • 018 Replacing Missing Data Median Imputation Method Part 2.mp4 (20.0 MB)
  • 019 Replacing Missing Data Median Imputation Method Part 3.mp4 (24.4 MB)
  • 020 Replacing Missing Data Deriving Values Method.mp4 (23.2 MB)
  • 021 Visualizing results.mp4 (40.1 MB)
  • 022 Section Recap.mp4 (11.1 MB)
    • quizzes
    • 001 Data Preparation.html (9.1 KB)
    03 Lists in R
    • 023 Welcome to this section. This is what you will learn.mp4 (31.8 MB)
    • 024 Project Brief Machine Utilization.mp4 (61.8 MB)
    • 025 Import Data Into R.mp4 (18.6 MB)
    • 026 Handling Date-Times in R.mp4 (50.1 MB)
    • 027 What is a List.mp4 (44.7 MB)
    • 028 Naming components of a list.mp4 (13.9 MB)
    • 029 Extracting components lists vs vs.mp4 (20.0 MB)
    • 030 Adding and deleting components.mp4 (38.5 MB)
    • 031 Subsetting a list.mp4 (28.6 MB)
    • 032 Creating A Timeseries Plot.mp4 (45.9 MB)
    • 033 Section Recap.mp4 (6.6 MB)
      • quizzes
      • 002 Lists in R.html (6.4 KB)
      04 Apply Family of Functions
      • 034 Welcome to this section. This is what you will learn.mp4 (49.5 MB)
      • 035 Project Brief Weather Patterns.mp4 (31.9 MB)
      • 036 Import Data into R.mp4 (33.8 MB)
      • 037 What is the Apply family.mp4 (18.7 MB)
      • 038 Using apply.mp4 (32.9 MB)
      • 039 Recreating the apply function with loops advanced topic.mp4 (23.9 MB)
      • 040 Using lapply.mp4 (48.6 MB)
      • 041 Combining lapply with.mp4 (30.2 MB)
      • 042 Adding your own functions.mp4 (33.2 MB)
      • 043 Using sapply.mp4 (43.5 MB)
      • 044 Nesting apply functions.mp4 (30.8 MB)
      • 045 which.max and which.min advanced topic.mp4 (40.4 MB)
      • 046 Section Recap.mp4 (9.8 MB)
        • quizzes
        • 003 Apply Family of Functions.html (6.4 KB)
        05 Bonus Lectures
        • 047 YOUR SPECIAL BONUS.html (3.6 KB)
        • [DesireCourse.Com].txt (0.7 KB)
        • [DesireCourse.Com].url (0.0 KB)

Description

R Programming: Advanced Analytics In R For Data Science

Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2

For More Courses Visit: https://desirecourse.com



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Udemy - R Programming: Advanced Analytics In R For Data Science

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Download torrent
1.5 GB
seeders:19
leechers:11
Udemy - R Programming: Advanced Analytics In R For Data Science

Torrent hash: CD4D19FE9C9DDF8CEDE7A13524D48EA55BB77FAC