[Pluralsight / Matthew Renze] Data Science with R ● Exploratory Data Analysis ● Data Visualization [2021, ENG]

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vjigg

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vjigg · 05-Май-22 14:21 (2 года 7 месяцев назад, ред. 01-Июл-23 14:51)

Data Science with R ● Exploratory Data Analysis ● Data Visualization
Год выпуска: 2021
Производитель: Pluralsight
Сайт производителя://app.pluralsight.com/profile/author/matthew-renze
Автор: Matthew Renze
Продолжительность: 24h
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание:
    Data science is becoming more and more valuable to the workplace and to the global economy. Learn how to use the practice of data science and the programming language R to transform your data into actionable insight.
    Data science is the practice of transforming data into knowledge, and R is one of the most popular programming language used by data scientists. In a data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world. In this course, Data Science with R, you'll learn first learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight. Next, you'll learn how to transform and clean your data, create and interpret descriptive statistics, data visualizations, and statistical models. Finally, you'll learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production. By the end of this course, you'll have the skills necessary to use R and the principles of data science to transform your data into actionable insight.

Related Topics:
    [Pluralsight] Programming R for Data Analysts | Path [2020, ENG]
    [Pluralsight / Justin Flett] Programming Data Structures in R | Path [2020, ENG]
    [Pluralsight] Importing Data with R ● Cleaning Data with R | Path [2020, ENG]
    [Pluralsight] Data Visualization with R | Path [2019, ENG]
    [Pluralsight] Data Wrangling with R | Path [2020, ENG]
    [Pluralsight] Exploratory Data Analysis with R | Path [2020, ENG]
    [Pluralsight] Interpreting Data with R | Path [2019, ENG]
    [Pluralsight] Building Statistical and Mathematical Models with R | Path [2020, ENG]
    [Pluralsight] Data Science Literacy | Path [2021, ENG]

Содержание
Data Science with R (2021)
    01. Course Overview
    02. Introduction to Data Science
    03. Introduction to R
    04. Working with Data
    05. Creating Descriptive Statistics
    06. Creating Data Visualizations
    07. Creating Statistical Models
    08. Handling Big Data
    09. Predicting with Machine Learning
    10. Deploying to Production
Exploratory Data Analysis with R (2021)
    1. Introduction to R
    2. Transforming and Cleaning Data
    3. Calculating Descriptive Statistics
    4. Visualizing Data
    5. Moving Beyond R and Exploratory Data Analysis
Beginning Data Visualization with R (2016)
    1. Course Overview
    2. Introduction
    3. Visualizing One Categorical Variable
    4. Visualizing One Numeric Variable
    5. Visualizing Two Categorical Variables
    6. Visualizing Two Numeric Variables
    7. Visualizing Both a Categorical and a Numeric Variable
    8. Moving Beyond the Basics
Multivariate Data Visualization with R (2016)
    1. Course Overview
    2. Introduction
    3. Visualizing Three Categorical Variables
    4. Visualizing Two Categorical and One Numeric Variables
    5. Visualizing One Categorical and Two Numeric Variables
    6. Visualizing Three Numeric Variables
    7. Visualizing Many Variables
Mastering Data Visualization with R (2016)
    1. Course Overview
    2. Introduction
    3. Visualizing Spatial Data
    4. Visualizing Hierarchical Data
    5. Visualizing Graph and Network Data
    6. Visualizing Textual Data
    7. Animating Data Visualizations
    8. Creating Interactive Data Visualizations
Файлы примеров: присутствуют
Субтитры: присутствуют
Формат видео: MP4
Видео: H.264/AVC, 1280x720, 16:9, 15fps, 615 kb/s
Аудио: AAC, 44.1 kHz, 63.8 kbit/s, 2 channels
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