| 1. A data analysis example.mp4 | 228.1 MB | ||
| 1. A data analysis example.srt | 27.2 KB | ||
| 1. Descriptive statistics and data visualization.mp4 | 244.3 MB | ||
| 1. Descriptive statistics and data visualization.srt | 20.1 KB | ||
| 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 | ||
| 1. Import data and installing packages.mp4 | 101 MB | ||
| 1. Import data and installing packages.srt | 19.5 KB | ||
| 1. Research methods - Intro.mp4 | 17.3 MB | ||
| 1. Research methods - Intro.srt | 1.3 KB | ||
| 1. Types of data in R.mp4 | 55.6 MB | ||
| 1. Types of data in R.srt | 11.5 KB | ||
| 1. Why use R.mp4 | 63.2 MB | ||
| 1. Why use R.srt | 5.6 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 | ||
| 2. Data manipulation using Tidyverse.mp4 | 58.1 MB | ||
| 2. Data manipulation using Tidyverse.srt | 12 KB | ||
| 2. Import data from excel.mp4 | 68.7 MB | ||
| 2. Import data from excel.srt | 13.7 KB | ||
| 2. Inferential statistics and hypothesis testing.mp4 | 201.8 MB | ||
| 2. Inferential statistics and hypothesis testing.srt | 19.3 KB | ||
| 2. R example analysis.mp4 | 224.3 MB | ||
| 2. R example analysis.srt | 26.8 KB | ||
| 3. Case control vs. cohort studies.mp4 | 72.4 MB | ||
| 3. Case control vs. cohort studies.srt | 6.3 KB | ||
| 3. Non-parametric tests.mp4 | 70.7 MB | ||
| 3. Non-parametric tests.srt | 6.4 KB | ||
| 3. Selecting and arranging your variables.mp4 | 22.5 MB | ||
| 3. Selecting and arranging your variables.srt | 4.5 KB | ||
| 4. Missing Data.mp4 | 67.6 MB | ||
| 4. Missing Data.srt | 20.4 KB | ||
| 4. Randomised controlled trials and confounding.mp4 | 62.5 MB | ||
| 4. Randomised controlled trials and confounding.srt | 5.6 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 | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 42 total files | |||
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.
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