Interpreting Data with R | Path [2019, ENG] torrent

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Interpreting Data with R | Path

Год выпуска: 2019
Производитель: Pluralsight
Сайт производителя://app.pluralsight.com/paths/skill/interpreting-data-with-r
Автор: Justin Flett / Fredrik Hallgren / Emilee McWilliams
Продолжительность: 4h 40m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Interpreting Data with R is a skill that will teach you how to apply disciplines such as Statistics and Probability to understanding data and preparing future models.

What You Will Learn: This skill will convey the most common techniques for using R to help interpret data, both with and without statistical models.

Prerequisites: Statistics and Probability
[Pluralsight] Data Analytics Literacy | Path
[Pluralsight] Programming R for Data Analysts | Path
[Pluralsight] Importing Data with R | Path
[Pluralsight] Data Visualization with R | Path

Related Topics: [Pluralsight / Justin Flett] Programming Data Structures in R | Path [2020, ENG]
[Pluralsight] Data Wrangling with R | Path [2020, ENG]
[Pluralsight] Exploratory Data Analysis with R | Path [2020, ENG]
[Pluralsight] Building Statistical and Mathematical Models with R | Path [2020, ENG]
[Pluralsight / Matthew Renze] Data Science with R ● Exploratory Data Analysis ● Data Visualization [2021, ENG]
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Beginner
Visualize and discover relationships in your data, and calculate correlations and perform simple linear regressions to predict a value from a single predictor. Finding Relationships in Data with R (Justin Flett, 2019) 1. Course Overview
2. Visualizing Relationships within Data
3. Discovering Relationships within Data
4. Calculating Correlation between Variables
5. Creating Correlation Matrices
6. Visualizing Correlation Matrices using Heatmap
7. Visualizing Relationships using Pairplot
Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019) 1. Course Overview
2. Creating Statistical Models
3. Fitting Statistical Models
4. Implementing a Predictive Model - Single-variable Linear Regression
5. Drawing Conclusions from Data with Statistical Testing
6. Using Multi-variable Linear Regression
7. Ensuring Predictive Accuracy

Intermediate
Calculate common descriptive statistics for central tendency and variability as well as summarize a given set of data using appropriate descriptive statistics. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019) 1. Course Overview
2. Understanding Types of Variables and Measurement Scales
3. Interpreting Measures of Location within R
4. Measuring Variance with Descriptive Statistics
5. Creating Credit Application Summary for Month over Month Data
6. Applying Standard Error and Confidence Estimates to a Sample Mean
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Файлы примеров: присутствуют
Формат видео: MP4
Видео: H.264/AVC, 1280x720, 16:9, 30fps, 151 kb/s
Аудио: AAC, 48000Hz, 96 kbit/s, 2 channels
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