Udemy - Introduction To Statistics In R - A Practical Approach

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[ WebToolTip.com ] Udemy - Introduction To Statistics In R - A Practical Approach
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction to Statistics and Basic Concepts
    • 1 - Welcome Course Overview English.vtt (3.0 KB)
    • 1 - Welcome Course Overview.mp4 (19.2 MB)
    • 10 - Dataset.html (0.4 KB)
    • 11 - Levels of Measurement.html (3.0 KB)
    • 12 - Parameter vs Statistic English.vtt (6.8 KB)
    • 12 - Parameter vs Statistic.mp4 (38.1 MB)
    • 13 - Identify the Key Elements Scenario 1 English.vtt (4.3 KB)
    • 13 - Identify the Key Elements Scenario 1.mp4 (35.4 MB)
    • 14 - Identify the Key Elements Scenario 2 English.vtt (4.4 KB)
    • 14 - Identify the Key Elements Scenario 2.mp4 (33.2 MB)
    • 15 - Larger Samples More Reliable Results.html (1.7 KB)
    • 16 - Mini-Project-Basic-Statistical-Concepts.pdf (399.8 KB)
    • 16 - PDF Version Mini Project Identify the Elements.html (0.3 KB)
    • 17 - Basic-Concepts-Badge.png (51.8 KB)
    • 17 - Collect and Share Your Badge.html (0.4 KB)
    • 2 - Desktop-Wallpaper.png (173.6 KB)
    • 2 - Important Course Information and Resources.html (4.7 KB)
    • 2 - Mobile-Wallpaper.png (121.9 KB)
    • 3 - Introduction to Statistics as a Science English.vtt (1.7 KB)
    • 3 - Introduction to Statistics as a Science.mp4 (6.7 MB)
    • 4 - Handout-Basic-Statistical-Concepts.pdf (75.1 KB)
    • 4 - PDF Resource Section Handout.html (0.2 KB)
    • 5 - Population English.vtt (4.9 KB)
    • 5 - Population.mp4 (33.8 MB)
    • 6 - Sample and Sampling English.vtt (8.7 KB)
    • 6 - Sample and Sampling.mp4 (64.5 MB)
    • 7 - Biased Samples.html (2.3 KB)
    • 8 - Bias in Research.html (0.8 KB)
    • 9 - Variables and Data English.vtt (6.6 KB)
    • 9 - Variables and Data.mp4 (34.7 MB)
    10 - Introduction to Histograms
    • 104 - Section Introduction English.vtt (0.0 KB)
    • 104 - Section Introduction.mp4 (2.1 MB)
    • 105 - Handout-Histograms.pdf (79.7 KB)
    • 105 - PDF Resource Section Handout.html (0.2 KB)
    • 106 - Importance of Graphs and Plots in Statistics English.vtt (3.5 KB)
    • 106 - Importance of Graphs and Plots in Statistics.mp4 (12.7 MB)
    • 107 - Graph vs Chart vs Plot.html (0.5 KB)
    • 108 - Frequency Histograms.html (0.1 KB)
    • 109 - Introduction to Histograms English.vtt (5.5 KB)
    • 109 - Introduction to Histograms.mp4 (19.5 MB)
    • 110 - Class Class Limits and Class Boundaries.html (1.5 KB)
    • 111 - Interpret Histograms Examples and Practice English.vtt (7.6 KB)
    • 111 - Interpret Histograms Examples and Practice.mp4 (26.1 MB)
    • 112 - How to Make a Histogram Manually.html (1.3 KB)
    • 113 - How to Create and Customize Histograms in R English.vtt (5.7 KB)
    • 113 - How to Create and Customize Histograms in R.mp4 (42.1 MB)
    • 114 - PDF Version Mini Project Wood for Sawmills.html (0.3 KB)
    • 115 - Collect and Share Your Badge.html (0.4 KB)
    • 115 - Histograms-Badge.png (48.8 KB)
    • Mini Project - Histograms.pdf (407.1 KB)
    • shipment_delivery_times.csv (0.3 KB)
    11 - Quartiles and the Interquartile Range IQR
    • 116 - Section Introduction English.vtt (0.0 KB)
    • 116 - Section Introduction.mp4 (3.0 MB)
    • 117 - Handout-Quartiles-and-the-IQR.pdf (93.1 KB)
    • 117 - PDF Resource Section Handout.html (0.2 KB)
    • 118 - Introduction to Quartiles English.vtt (4.0 KB)
    • 118 - Introduction to Quartiles.mp4 (17.6 MB)
    • 119 - How to Find Quartiles Manually in Small Datasets English.vtt (5.1 KB)
    • 119 - How to Find Quartiles Manually in Small Datasets.mp4 (24.7 MB)
    • 120 - How to find Quartiles in R English.vtt (4.0 KB)
    • 120 - How to find Quartiles in R.mp4 (20.5 MB)
    • 121 - Quantiles vs Quartiles.html (0.5 KB)
    • 122 - How to Choose the Algorithm Used to Find Quartiles.html (1.5 KB)
    • 123 - The Interquartile Range IQR English.vtt (3.2 KB)
    • 123 - The Interquartile Range IQR.mp4 (11.3 MB)
    • 124 - Find the Interquartile Range in R English.vtt (1.0 KB)
    • 124 - Find the Interquartile Range in R.mp4 (6.5 MB)
    • 125 - RealWorld Application of the IQR Outliers English.vtt (2.7 KB)
    • 125 - RealWorld Application of the IQR Outliers.mp4 (10.0 MB)
    • 126 - How to Identify Outliers Upper and Lower Thresholds English.vtt (8.6 KB)
    • 126 - How to Identify Outliers Upper and Lower Thresholds.mp4 (40.7 MB)
    • 127 - How to Find Upper and Lower Thresholds in R.html (1.1 KB)
    • 128 - Quartiles and Percentiles.html (2.7 KB)
    • 129 - PDF Version Mini Project Light Bulb Life.html (0.3 KB)
    • 130 - Collect and Share Your Badge.html (0.4 KB)
    • 130 - Quartiles-and-IQR-Badge.png (51.8 KB)
    • Mini Project - Quartiles and the IQR.pdf (129.3 KB)
    • fluorescent.csv (0.4 KB)
    • halogen.csv (0.4 KB)
    • incandescent.csv (0.4 KB)
    12 - Box Plots BoxWhisker Plots
    • (Horizontal) Box Plots Side by Side.R (0.2 KB)
    • 131 - Section Introduction English.vtt (0.0 KB)
    • 131 - Section Introduction.mp4 (2.7 MB)
    • 132 - Handout-Box-Plots.pdf (101.2 KB)
    • 132 - PDF Resource Section Handout.html (0.2 KB)
    • 133 - Introduction to Box Plots English.vtt (6.0 KB)
    • 133 - Introduction to Box Plots.mp4 (19.6 MB)
    • 134 - Practice Analyze and Interpret Box Plots English.vtt (5.3 KB)
    • 134 - Practice Analyze and Interpret Box Plots.mp4 (19.3 MB)
    • 135 - How to Make a Box Plot in R English.vtt (3.8 KB)
    • 135 - How to Make a Box Plot in R.mp4 (17.7 MB)
    • 136 - Draw Box Plots Side by Side in R.html (4.1 KB)
    • 137 - PDF Version Mini Project Analysis of House Prices.html (0.3 KB)
    • 138 - Box-Plots-Badge.png (48.2 KB)
    • 138 - Collect and Share Your Badge.html (0.4 KB)
    • Box Plots Side by Side.R (0.2 KB)
    • Mini Project - Box Plots.pdf (158.8 KB)
    • Three Box Plots Side by Side.R (0.2 KB)
    • dream_mountain.csv (0.4 KB)
    • oak_tree.csv (0.3 KB)
    • sunny_village.csv (0.4 KB)

Description

Introduction To Statistics In R - A Practical Approach

https://WebToolTip.com

Last updated 11/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.40 GB | Duration: 4h 46m

Learn descriptive statistics in R applying your knowledge with mini projects, quizzes, and a final exam

What you'll learn
How to apply basic statistical knowledge to solve real-world scenarios using R
How to create, read, and work with CSV files in RStudio
Fundamental concepts such as population, sample, sampling, bias, data, statistic, and parameter
How to find and interpret frequency, relative frequency, and cumulative relative frequency
How to find and interpret the Mean, Median, and Mode
How to find and interpret Variance and Standard Deviation
How to find quartiles (Q1, Q2, Q3), the interquartile range (IQR), and outliers
How to create, read and interpret bar plots, histograms, and box plots

Requirements
No previous programming experience required.
Download and install RStudio (Free Open-Source Edition).
You can work with the R console during the course as well.
Google Sheets to create CSV files.



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Udemy - Introduction To Statistics In R - A Practical Approach

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1.4 GB
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Udemy - Introduction To Statistics In R - A Practical Approach

Torrent hash: 43404F121E8BDAE51F6AC2ED96F2C180F0164D12