| 1. Arithmetic Operations in R.mp4 | 36.7 MB | ||
| 1. Arithmetic Operations in R.srt | 6.8 KB | ||
| 1. Birth and Rise of R.mp4 | 17.3 MB | ||
| 1. Birth and Rise of R.srt | 2.6 KB | ||
| 1. Conditional Statements in R.mp4 | 26.5 MB | ||
| 1. Conditional Statements in R.srt | 4.1 KB | ||
| 1. Introduction and understanding the GGPLOT2 syntax in R.mp4 | 25.3 MB | ||
| 1. Introduction and understanding the GGPLOT2 syntax in R.srt | 5.8 KB | ||
| 1. Introduction to the package GoogleVis in R.mp4 | 31.7 MB | ||
| 1. Introduction to the package GoogleVis in R.srt | 4.3 KB | ||
| 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. Histogram using GoogleVis in R.mp4 | 12.3 MB | ||
| 10. Histogram using GoogleVis in R.srt | 2.8 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 | ||
| 10. Spatial Map (an Overview) and Conclusion on the Tutorial.mp4 | 49.5 MB | ||
| 10. Spatial Map (an Overview) and Conclusion on the Tutorial.srt | 4.9 KB | ||
| 10. sapply() function in R.mp4 | 36.8 MB | ||
| 10. sapply() function in R.srt | 4 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 | ||
| 11. apply() function.mp4 | 62.3 MB | ||
| 11. apply() function.srt | 7.2 KB | ||
| 12. Simple Bar Plot in R Visualizing categorical data.mp4 | 45 MB | ||
| 12. Simple Bar Plot in R Visualizing categorical data.srt | 6.9 KB | ||
| 12. User defined function in R.mp4 | 48.9 MB | ||
| 12. User defined function in R.srt | 6 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 | ||
| 13. Variable scooping in R Global and Local Variables.mp4 | 42 MB | ||
| 13. Variable scooping in R Global and Local Variables.srt | 5.3 KB | ||
| 14. Grouped Bar Plot in R.mp4 | 53.7 MB | ||
| 14. Grouped Bar Plot in R.srt | 6.5 KB | ||
| 14. The plot function in R.mp4 | 87 MB | ||
| 14. The plot function in R.srt | 12.4 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 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. Expressions in R Basic Idea.mp4 | 26 MB | ||
| 2. Expressions in R Basic Idea.srt | 5.5 KB | ||
| 2. If statement in R The Structure.mp4 | 84.6 MB | ||
| 2. If statement in R The Structure.srt | 10.5 KB | ||
| 2. Installation Of R.mp4 | 16.9 MB | ||
| 2. Installation Of R.srt | 2.4 KB | ||
| 2. Line chart using GoogleVis in R.mp4 | 48.5 MB | ||
| 2. Line chart using GoogleVis in R.srt | 9.9 KB | ||
| 2. Scatter Plot and Jitter Plot using GGPlot2 in R.mp4 | 61.5 MB | ||
| 2. Scatter Plot and Jitter Plot using GGPlot2 in R.srt | 10.8 KB | ||
| 2. points() function in R Plotting points.mp4 | 55.7 MB | ||
| 2. points() function in R Plotting points.srt | 7.9 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 | ||
| 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 | ||
| 3. Counts chart using GGPlot2 in R.mp4 | 28.8 MB | ||
| 3. Counts chart using GGPlot2 in R.srt | 4.7 KB | ||
| 3. GUI of R.mp4 | 15.9 MB | ||
| 3. GUI of R.srt | 15.9 MB | ||
| 3. If Else statement in R The Structure.mp4 | 72.6 MB | ||
| 3. If Else statement in R The Structure.srt | 8 KB | ||
| 3. axis() function in R Generating Axis.mp4 | 20.5 MB | ||
| 3. axis() function in R Generating Axis.srt | 3.3 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 | ||
| 4. Ifelse() function in R.mp4 | 66.5 MB | ||
| 4. Ifelse() function in R.srt | 7.3 KB | ||
| 4. Maginal Histogram Boxplot using GGPlot2 in R.mp4 | 59.9 MB | ||
| 4. Maginal Histogram Boxplot using GGPlot2 in R.srt | 7.1 KB | ||
| 4. R Studio Installation.mp4 | 29.4 MB | ||
| 4. R Studio Installation.srt | 3.2 KB | ||
| 4. Stepped chart and Combo chart using GoogleVis in R.mp4 | 53.1 MB | ||
| 4. Stepped chart and Combo chart using GoogleVis in R.srt | 8.9 KB | ||
| 4. box() function in R Creating enclosure.mp4 | 20.8 MB | ||
| 4. box() function in R Creating enclosure.srt | 3 KB | ||
| 5. Bubble chart using GoogleVis in R.mp4 | 25.7 MB | ||
| 5. Bubble chart using GoogleVis in R.srt | 5.5 KB | ||
| 5. Correlogram using GGPlot2 in R.mp4 | 61.2 MB | ||
| 5. Correlogram using GGPlot2 in R.srt | 9.4 KB | ||
| 5. Iteration in R.mp4 | 23.6 MB | ||
| 5. Iteration in R.srt | 3.3 KB | ||
| 5. R Studio GUI.mp4 | 33.4 MB | ||
| 5. R Studio GUI.srt | 5.4 KB | ||
| 5. Symbols and Assignment in R.mp4 | 11.2 MB | ||
| 5. Symbols and Assignment in R.srt | 3.6 KB | ||
| 5. title() function in R Assigning title.mp4 | 22.4 MB | ||
| 5. title() function in R Assigning title.srt | 3.2 KB | ||
| 6. Candle-stick Chart using GoogleVis in R.mp4 | 18.5 MB | ||
| 6. Candle-stick Chart using GoogleVis in R.srt | 5.1 KB | ||
| 6. Keywords in R NA, Inf, NaN, NULL, TRUE, FALSE.mp4 | 23 MB | ||
| 6. Keywords in R NA, Inf, NaN, NULL, TRUE, FALSE.srt | 6.1 KB | ||
| 6. Ordered Bar chart using GGPlot2 in R.mp4 | 76.2 MB | ||
| 6. Ordered Bar chart using GGPlot2 in R.srt | 8.7 KB | ||
| 6. The for loop in R.mp4 | 23.6 MB | ||
| 6. The for loop in R.srt | 3.3 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. Histogram on continuous and categorical variable using GGPlot2 in R.mp4 | 68.6 MB | ||
| 7. Histogram on continuous and categorical variable using GGPlot2 in R.srt | 8.6 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 | ||
| 7. Pie chart and Gauge chart using GoogleVis in R.mp4 | 42.1 MB | ||
| 7. Pie chart and Gauge chart using GoogleVis in R.srt | 9.2 KB | ||
| 7. The while loop in R.mp4 | 23.6 MB | ||
| 7. The while loop in R.srt | 3.3 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. Density Plot and Box Plot using GGPlot2 in R.mp4 | 28.4 MB | ||
| 8. Density Plot and Box Plot using GGPlot2 in R.srt | 4.7 KB | ||
| 8. Geo charts using GoogleVis in R.mp4 | 68.4 MB | ||
| 8. Geo charts using GoogleVis in R.srt | 10.8 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 | ||
| 8. The repeat statement in R.mp4 | 70.6 MB | ||
| 8. The repeat statement in R.srt | 8.4 KB | ||
| 9. Annotation charts using GoogleVis in R.mp4 | 29 MB | ||
| 9. Annotation charts using GoogleVis in R.srt | 6 KB | ||
| 9. Pie chart and Bar chart using GGPlot2 in R.mp4 | 58.6 MB | ||
| 9. Pie chart and Bar chart using GGPlot2 in R.srt | 7.1 KB | ||
| 9. hist() function in R Plotting histograms.mp4 | 78.4 MB | ||
| 9. hist() function in R Plotting histograms.srt | 8.8 KB | ||
| 9. lapply() function in R.mp4 | 41.8 MB | ||
| 9. lapply() function in R.srt | 5.3 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 132 total files | |||
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.
| torrent name | size | uploader | age | seed | leech |
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| 803.9 MB | freecoursewb | 4 weeks | 15 | 15 | |
| 329.9 MB | freecoursewb | 3 months | 7 | 3 | |
| 1.3 GB | freecoursewb | 7 months | 0 | 0 | |
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Udemy - Demographic and Health Survey Data Analysis in R and RStudio Posted by
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Udemy - Turn ANY Content Into a Viral Story With F.A.S.T.A.R Formula Posted by
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959.4 MB | freecoursewb | 8 months | 8 | 0 |
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