Udemy - R programming and introduction to statistics bundle

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.8 GB
  • Uploaded Byfreecoursewb
  • Downloads49
  • Last checkedFeb. 20th '22
  • Date uploadedFeb. 18th '22
  • Seeders 5
  • Leechers11

Infohash : 22D3D24783F6554DE0F86F3AEB3BC3E9C470F38B

R programming and introduction to statistics bundle



https://DevCourseWeb.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.82 GB | Duration: 2h 31m

Learn to approach statistical problems and a general understanding of how R programming works!

What you'll learn
Understand your data structure
Describe and visualise your data
Apply statistical tests to sample data
Present your findings
Install R and R studio
Work comfortably within R studio
Download packages
Install data
Do basic manipulation of data
Understand how R works with different types of data
Be able to perform some basic statistical analysis

Description
Do you find statistics confusing? Learning statistics doesn’t need to be difficult. In this course, you’ll be introduced to a completely new way of approaching the subject. Instead of trying to learn formulas and trying to understand the complicated mathematics that underpin statistics tests, in this course, you’ll learn to approach statistical problems by understanding the “question” that you’re trying to answer.

Files:

[ DevCourseWeb.com ] Udemy - R programming and introduction to statistics bundle
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Describing and analysing data
    • 1. Descriptive statistics and data visualization.mp4 (244.3 MB)
    • 1. Descriptive statistics and data visualization.srt (20.1 KB)
    • 2. Inferential statistics and hypothesis testing.mp4 (201.8 MB)
    • 2. Inferential statistics and hypothesis testing.srt (19.3 KB)
    • 3. Non-parametric tests.mp4 (70.7 MB)
    • 3. Non-parametric tests.srt (6.4 KB)
    • 4. Missing Data.mp4 (67.6 MB)
    • 4. Missing Data.srt (20.4 KB)
    2. Research methods
    • 1. Research methods - Intro.mp4 (17.3 MB)
    • 1. Research methods - Intro.srt (1.3 KB)
    • 2. An overview of quantitative and qualitative methods.mp4 (56.7 MB)
    • 2. An overview of quantitative and qualitative methods.srt (4.4 KB)
    • 3. Case control vs. cohort studies.mp4 (72.4 MB)
    • 3. Case control vs. cohort studies.srt (6.3 KB)
    • 4. Randomised controlled trials and confounding.mp4 (62.5 MB)
    • 4. Randomised controlled trials and confounding.srt (5.6 KB)
    3. Introduction to R
    • 1. Why use R.mp4 (63.2 MB)
    • 1. Why use R.srt (5.6 KB)
    • 2. R example analysis.mp4 (224.3 MB)
    • 2. R example analysis.srt (26.8 KB)
    4. Install R and R Studio (and an introduction to R Studio)
    • 1. How to download and install R and R studio.mp4 (79.4 MB)
    • 1. How to download and install R and R studio.srt (12.6 KB)
    5. Import data and install packages
    • 1. Import data and installing packages.mp4 (101.0 MB)
    • 1. Import data and installing packages.srt (19.5 KB)
    • 2. Import data from excel.mp4 (68.7 MB)
    • 2. Import data from excel.srt (13.7 KB)
    6. Data manipulation
    • 1. Types of data in R.mp4 (55.6 MB)
    • 1. Types of data in R.srt (11.5 KB)
    • 2. Data manipulation using Tidyverse.mp4 (58.1 MB)
    • 2. Data manipulation using Tidyverse.srt (12.0 KB)
    • 3. Selecting and arranging your variables.mp4 (22.5 MB)
    • 3. Selecting and arranging your variables.srt (4.5 KB)
    • 4. Recoding data.mp4 (47.6 MB)
    • 4. Recoding data.srt (9.4 KB)
    • 5. Advanced filtering and subsetting your data.mp4 (58.7 MB)
    • 5. Advanced filtering and subsetting your data.srt (12.5 KB)
    • 6. Dealing with missing data.mp4 (67.6 MB)
    • 6. Dealing with missing data.srt (20.4 KB)
    7. Statistical analysis (an example)
    • 1. A data analysis example.mp4 (228.1 MB)
    • 1. A data analysis example.srt (27.2 KB)
    • Bonus Resources.txt (0.4 KB)

Code:

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