Data Analysis with R Programming
link Источник: www.coursera.org
list 5 последовательности
assignment Уровень : Начальный
chat_bubble_outline Язык : английский
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credit_card Обучение платное
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timer 37 час(ы) курса

Резюме

This course is the seventh course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways.  Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.

By the end of this course, you will:

  •  Examine the benefits of using the R programming language.
  •  Discover how to use RStudio to apply R to your analysis. 
  •  Explore the fundamental concepts associated with programming in R. 
  •  Explore the contents and components of R packages including the Tidyverse package.
  •  Gain an understanding of dataframes and their use in R.
  •  Discover the options for generating visualizations in R.
  •  Learn about R Markdown for documenting R programming.

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Специальные требования

No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.

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Программа

WEEK 1: Programming and data analytics
R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started.

WEEK 2: Programming using RStudio
Using R can help you complete your analysis efficiently and effectively. In this part of the course, you’ll explore the fundamental concepts associated with R. You’ll learn about functions and variables for calculations and other programming. In addition, you'll discover R packages, which are collections of R functions, code and sample data that you’ll use in RStudio.

WEEK 3: Working with data in R
The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.

WEEK 4: More about visualizations, aesthetics, and annotations
R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.

WEEK 5: Documentation and reports
When you’re ready to save and present your analysis, R has different options to consider. In this part of the course, you’ll explore R Markdown, a file format for making dynamic documents with R. You’ll find out how to format and export R Markdown, including how to incorporate R code chunks in your documents.

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Пользователи

Google Career Certificates
Google Career Certificates are part of Grow with Google, an initiative that draws on Google's 20-year history of building products, platforms, and services that help people and businesses grow. Through programs like these, we aim to help everyone– those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.

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Разработчик

Google

Google est une entreprise fondée le 4 septembre 1998 dans le garage Google dans la Silicon Valley, en Californie, par Larry Page et Sergueï Brin, créateurs du moteur de recherche Google.

L'entreprise s'est principalement fait connaître à travers la situation monopolistique de son moteur de recherche, concurrencé historiquement par AltaVista puis par Yahoo! et Bing. Elle a ensuite procédé à de nombreuses acquisitions et développements et détient aujourd'hui de nombreux logiciels et sites web notables parmi lesquels YouTube, le système d'exploitation pour téléphones mobiles Android, ainsi que d'autres services tels que Google Earth, Google Maps ou Google Play.

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Платформа

Coursera

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

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