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LinkedIn Learning - Learning R [CoursesGhar]

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English

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481.08 MB

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0226ea79269173d6980af6dbeb3560b7401726ca

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25-06-2021 20:40

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File	Size
!! IMPORTANT Note !!.txt	287.00 B
!!! Please Support !!! [CoursesGhar.Com].txt	197.00 B
00. Websites You May Like/CoursesGhar.Com.url	114.00 B
00. Websites You May Like/New Internet Shortcut.url	114.00 B
telegram @coursesghargate.url	128.00 B
Uploaded by [Coursesghar.com].txt	1.10 kB
Visit coursesghar.com for more awesome tutorials.url	114.00 B
[1] Introduction/[1] R for data science.mp4	11.13 MB
[1] Introduction/[1] R for data science.srt	3.31 kB
[1] Introduction/[2] Using the exercise files.mp4	4.49 MB
[1] Introduction/[2] Using the exercise files.srt	2.04 kB
[2] 1. What Is R/[1] R in context.mp4	15.33 MB
[2] 1. What Is R/[1] R in context.srt	12.40 kB
[3] 2. Getting Started/[10] Piping commands with %%.mp4	5.10 MB
[3] 2. Getting Started/[10] Piping commands with %%.srt	6.56 kB
[3] 2. Getting Started/[11] Sample datasets.mp4	15.71 MB
[3] 2. Getting Started/[11] Sample datasets.srt	8.10 kB
[3] 2. Getting Started/[12] Importing data from a spreadsheet.mp4	22.91 MB
[3] 2. Getting Started/[12] Importing data from a spreadsheet.srt	13.60 kB
[3] 2. Getting Started/[1] Installing R.mp4	4.23 MB
[3] 2. Getting Started/[1] Installing R.srt	2.89 kB
[3] 2. Getting Started/[2] Environments for R.mp4	8.77 MB
[3] 2. Getting Started/[2] Environments for R.srt	7.28 kB
[3] 2. Getting Started/[3] Installing RStudio.mp4	4.04 MB
[3] 2. Getting Started/[3] Installing RStudio.srt	2.08 kB
[3] 2. Getting Started/[4] Navigating the RStudio environment.mp4	12.93 MB
[3] 2. Getting Started/[4] Navigating the RStudio environment.srt	8.72 kB
[3] 2. Getting Started/[5] Entering data.mp4	16.33 MB
[3] 2. Getting Started/[5] Entering data.srt	10.23 kB
[3] 2. Getting Started/[6] Data types and structures.mp4	28.36 MB
[3] 2. Getting Started/[6] Data types and structures.srt	18.94 kB
[3] 2. Getting Started/[7] Comments and headers.mp4	13.52 MB
[3] 2. Getting Started/[7] Comments and headers.srt	10.59 kB
[3] 2. Getting Started/[8] Packages for R.mp4	18.93 MB
[3] 2. Getting Started/[8] Packages for R.srt	11.23 kB
[3] 2. Getting Started/[9] The tidyverse.mp4	7.45 MB
[3] 2. Getting Started/[9] The tidyverse.srt	4.09 kB
[4] 3. Data Visualization/[1] Using colors in R.mp4	26.12 MB
[4] 3. Data Visualization/[1] Using colors in R.srt	13.70 kB
[4] 3. Data Visualization/[2] Creating bar charts.mp4	20.86 MB
[4] 3. Data Visualization/[2] Creating bar charts.srt	14.50 kB
[4] 3. Data Visualization/[3] Creating histograms.mp4	10.19 MB
[4] 3. Data Visualization/[3] Creating histograms.srt	6.54 kB
[4] 3. Data Visualization/[4] Creating box plots.mp4	14.42 MB
[4] 3. Data Visualization/[4] Creating box plots.srt	11.45 kB
[4] 3. Data Visualization/[5] Creating scatterplots.mp4	21.66 MB
[4] 3. Data Visualization/[5] Creating scatterplots.srt	13.30 kB
[4] 3. Data Visualization/[6] Creating line charts.mp4	19.65 MB
[4] 3. Data Visualization/[6] Creating line charts.srt	13.00 kB
[4] 3. Data Visualization/[7] Creating cluster charts.mp4	13.56 MB
[4] 3. Data Visualization/[7] Creating cluster charts.srt	10.09 kB
[5] 4. Data Wrangling/[1] Selecting cases and subgroups.mp4	19.95 MB
[5] 4. Data Wrangling/[1] Selecting cases and subgroups.srt	11.39 kB
[5] 4. Data Wrangling/[2] Recoding variables.mp4	19.84 MB
[5] 4. Data Wrangling/[2] Recoding variables.srt	11.15 kB
[5] 4. Data Wrangling/[3] Computing new variables.mp4	11.91 MB
[5] 4. Data Wrangling/[3] Computing new variables.srt	7.25 kB
[6] 5. Data Analysis/[1] Computing frequencies.mp4	12.30 MB
[6] 5. Data Analysis/[1] Computing frequencies.srt	7.47 kB
[6] 5. Data Analysis/[2] Computing descriptives.mp4	20.09 MB
[6] 5. Data Analysis/[2] Computing descriptives.srt	13.14 kB
[6] 5. Data Analysis/[3] Computing correlations.mp4	17.01 MB
[6] 5. Data Analysis/[3] Computing correlations.srt	9.87 kB
[6] 5. Data Analysis/[4] Computing a linear regression.mp4	37.20 MB
[6] 5. Data Analysis/[4] Computing a linear regression.srt	24.61 kB
[6] 5. Data Analysis/[5] Computing contingency tables.mp4	19.19 MB
[6] 5. Data Analysis/[5] Computing contingency tables.srt	11.91 kB
[7] Conclusion/[1] Next steps.mp4	7.59 MB
[7] Conclusion/[1] Next steps.srt	4.98 kB

Description

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LinkedIn Learning - Learning R [CoursesGhar]

Course details
If you want to participate in the data revolution, you need the right tools and skills. R is a free, open-source language for data science that is among the most popular platforms for professional analysts. Learn the basics of R and get started finding insights from your own data, in this course with professor and data scientist Barton Poulson. The lessons explain how to get started with R, including installing R, RStudio, and code packages that extend R’s power. You also see first-hand how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis. By the end of the course, you’ll have a thorough introduction to the power and flexibility of R, and understand how to leverage this tool to explore and analyze a wide variety of data.