Udemy - R Programming 2021-22

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[ CourseHulu.com ] Udemy - R Programming 2021-22
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. What is R
    • 1. Birth and Rise of R.mp4 (17.3 MB)
    • 1. Birth and Rise of R.srt (2.6 KB)
    • 2. Installation Of R.mp4 (16.9 MB)
    • 2. Installation Of R.srt (2.4 KB)
    • 3. GUI of R.mp4 (15.9 MB)
    • 3. GUI of R.srt (15.9 MB)
    • 4. R Studio Installation.mp4 (29.4 MB)
    • 4. R Studio Installation.srt (3.2 KB)
    • 5. R Studio GUI.mp4 (33.4 MB)
    • 5. R Studio GUI.srt (5.4 KB)
    2. Basic Operations in R
    • 1. Arithmetic Operations in R.mp4 (36.7 MB)
    • 1. Arithmetic Operations in R.srt (6.8 KB)
    • 2. Expressions in R Basic Idea.mp4 (26.0 MB)
    • 2. Expressions in R Basic Idea.srt (5.5 KB)
    • 3. Constant Values in R Numeric and Non-Numeric.mp4 (32.5 MB)
    • 3. Constant Values in R Numeric and Non-Numeric.srt (4.8 KB)
    • 4. Function Calls in R Introduction to R Functions..mp4 (52.2 MB)
    • 4. Function Calls in R Introduction to R Functions..srt (10.5 KB)
    • 5. Symbols and Assignment in R.mp4 (11.2 MB)
    • 5. Symbols and Assignment in R.srt (3.6 KB)
    • 6. Keywords in R NA, Inf, NaN, NULL, TRUE, FALSE.mp4 (23.0 MB)
    • 6. Keywords in R NA, Inf, NaN, NULL, TRUE, FALSE.srt (6.1 KB)
    • 7. Naming a Variable in R Generally accepted conventions.mp4 (28.2 MB)
    • 7. Naming a Variable in R Generally accepted conventions.srt (6.3 KB)
    3. Control Structures and User Defined Functions in R
    • 1. Conditional Statements in R.mp4 (26.5 MB)
    • 1. Conditional Statements in R.srt (4.1 KB)
    • 10. sapply() function in R.mp4 (36.8 MB)
    • 10. sapply() function in R.srt (4.0 KB)
    • 11. apply() function.mp4 (62.3 MB)
    • 11. apply() function.srt (7.2 KB)
    • 12. User defined function in R.mp4 (48.9 MB)
    • 12. User defined function in R.srt (6.0 KB)
    • 13. Variable scooping in R Global and Local Variables.mp4 (42.0 MB)
    • 13. Variable scooping in R Global and Local Variables.srt (5.3 KB)
    • 14. The plot function in R.mp4 (87.0 MB)
    • 14. The plot function in R.srt (12.4 KB)
    • 2. If statement in R The Structure.mp4 (84.6 MB)
    • 2. If statement in R The Structure.srt (10.5 KB)
    • 3. If Else statement in R The Structure.mp4 (72.6 MB)
    • 3. If Else statement in R The Structure.srt (8.0 KB)
    • 4. Ifelse() function in R.mp4 (66.5 MB)
    • 4. Ifelse() function in R.srt (7.3 KB)
    • 5. Iteration in R.mp4 (23.6 MB)
    • 5. Iteration in R.srt (3.3 KB)
    • 6. The for loop in R.mp4 (23.6 MB)
    • 6. The for loop in R.srt (3.3 KB)
    • 7. The while loop in R.mp4 (23.6 MB)
    • 7. The while loop in R.srt (3.3 KB)
    • 8. The repeat statement in R.mp4 (70.6 MB)
    • 8. The repeat statement in R.srt (8.4 KB)
    • 9. lapply() function in R.mp4 (41.8 MB)
    • 9. lapply() function in R.srt (5.3 KB)
    4. Data Visualization Charting with R
    • 1. plot.window() function in R Creating window.mp4 (41.3 MB)
    • 1. plot.window() function in R Creating window.srt (6.3 KB)
    • 10. Kernel Density Plot in R The non-parametric probability distribution.mp4 (30.8 MB)
    • 10. Kernel Density Plot in R The non-parametric probability distribution.srt (4.1 KB)
    • 11. Comparing Groups via Kernel Density in R.mp4 (91.5 MB)
    • 11. Comparing Groups via Kernel Density in R.srt (10.9 KB)
    • 12. Simple Bar Plot in R Visualizing categorical data.mp4 (45.0 MB)
    • 12. Simple Bar Plot in R Visualizing categorical data.srt (6.9 KB)
    • 13. Stacked Bar Plot in R Understating category composition.mp4 (66.8 MB)
    • 13. Stacked Bar Plot in R Understating category composition.srt (7.9 KB)
    • 14. Grouped Bar Plot in R.mp4 (53.7 MB)
    • 14. Grouped Bar Plot in R.srt (6.5 KB)
    • 15. Line Charts in R.mp4 (56.3 MB)
    • 15. Line Charts in R.srt (5.7 KB)
    • 16. Pie Charts in R.mp4 (64.0 MB)
    • 16. Pie Charts in R.srt (7.2 KB)
    • 17. Boxplot in R Understanding data distributions and outliers.mp4 (48.4 MB)
    • 17. Boxplot in R Understanding data distributions and outliers.srt (7.2 KB)
    • 18. Using Google Chart Tools with R (Package googleVis).mp4 (19.2 MB)
    • 18. Using Google Chart Tools with R (Package googleVis).srt (2.4 KB)
    • 19. Geo Charts in R basic example.mp4 (21.2 MB)
    • 19. Geo Charts in R basic example.srt (4.3 KB)
    • 2. points() function in R Plotting points.mp4 (55.7 MB)
    • 2. points() function in R Plotting points.srt (7.9 KB)
    • 3. axis() function in R Generating Axis.mp4 (20.5 MB)
    • 3. axis() function in R Generating Axis.srt (3.3 KB)
    • 4. box() function in R Creating enclosure.mp4 (20.8 MB)
    • 4. box() function in R Creating enclosure.srt (3.0 KB)
    • 5. title() function in R Assigning title.mp4 (22.4 MB)
    • 5. title() function in R Assigning title.srt (3.2 KB)
    • 6. par() function in R Fixing plotting parameters.mp4 (58.2 MB)
    • 6. par() function in R Fixing plotting parameters.srt (8.4 KB)
    • 7. lines() function in R Adding connector lines.mp4 (40.2 MB)
    • 7. lines() function in R Adding connector lines.srt (5.3 KB)
    • 8. Multi figure layout in R Creating multiple charts in the same window.mp4 (62.6 MB)
    • 8. Multi figure layout in R Creating multiple charts in the same window.srt (7.5 KB)
    • 9. hist() function in R Plotting histograms.mp4 (78.4 MB)
    • 9. hist() function in R Plotting histograms.srt (8.8 KB)
    5. Visualization on R using Google Vis
    • 1. Introduction to the package GoogleVis in R.mp4 (31.7 MB)
    • 1. Introduction to the package GoogleVis in R.srt (4.3 KB)
    • 10. Histogram using GoogleVis in R.mp4 (12.3 MB)
    • 10. Histogram using GoogleVis in R.srt (2.8 KB)
    • 2. Line chart using GoogleVis in R.mp4 (48.5 MB)
    • 2. Line chart using GoogleVis in R.srt (9.9 KB)
    • 3. Bar chart and Column chart using GoogleVis in R.mp4 (31.3 MB)
    • 3. Bar chart and Column chart using GoogleVis in R.srt (5.4 KB)
    • 4. Stepped chart and Combo chart using GoogleVis in R.mp4 (53.1 MB)
    • 4. Stepped chart and Combo chart u

Description

R Programming 2021-22



https://CourseHulu.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.75 GB | Duration: 6h 15m
This series of tutorials will help you understand the basics and intermediate of R Programming on R Studio environment
What you'll learn
Students will have a good working knowledge on R Programming and can use it for their Educational as well as Business projects and assignments.
Working professionals can also benefit from this course as this course provides many tips and tricks which they can use it for their Corporate presentations.
The topics that will be covered in this course are divided into 10 modules.
Each module leads into the next and should be covered in order.

Description
There are people who are eager to move to Analytics careers but do not have the requisite skill sets. As we move into our 12th year in the Analytics Industry, OrangeTree Global has designed specific courses for freshers and working professionals who are looking at moving to Data Science, Machine Learning and Big Data Careers.

Since 2009, OrangeTree Global has embarked on an ambitious vision of providing affordable and effective Analytics Training and Education across the country.

OrangeTree Global has over a decade’s experience in upskilling professionals and helping them move to analytics jobs and careers within and outside India. If you are reading this, we hope to be a part of your journey too.



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Udemy - R Programming 2021-22

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Download torrent
2.8 GB
seeders:11
leechers:9
Udemy - R Programming 2021-22

Torrent hash: B4FA519D57AAB09AAFCBE160E8CA27A6C7A3898A