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.
Dieser Kurs ist Teil der Spezialisierung Google-Datenanalyse Zertifikat über berufliche Qualifikation
von
Über diesen Kurs
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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Describe the R programming language and its programming environment
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors
Describe the options for generating visualizations in R
Demonstrate an understanding of the basic formatting R Markdown to create structure and emphasize content
Kompetenzen, die Sie erwerben
- R Programming
- Data Analysis
- Data Visualization (DataViz)
- R Markdown
- Rstudio
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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Lehrplan - Was Sie in diesem Kurs lernen werden
Programming and data analytics
Programming using RStudio
Working with data in R
More about visualizations, aesthetics, and annotations
Bewertungen
- 5 stars82,34 %
- 4 stars13,61 %
- 3 stars2,47 %
- 2 stars0,74 %
- 1 star0,81 %
Top-Bewertungen von DATA ANALYSIS WITH R PROGRAMMING
The course guided the concepts of R in a smooth manner teaching from basics to higher-level code. I really enjoyed each step and the project practices at each step helped strengthen the concepts.
it would be better if some more packages like tidyquant , plotly , pacman, etc are explained...
also creating custom funtions was not explained...
loops (for,while,etc) didn't explained.
The analytics with R is used for analysis in easy manner and its also used for creating and visuliazation the data an analysist easily given a accurate results in make decision making Thankyou
It was a wonderful step by step teaching process. Really helped me gather the basics of R. Would love to have had additional resources for optional assignments at the end of it. For more practice.
Über den Google-Datenanalyse Zertifikat über berufliche Qualifikation

Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich dieses Zertifikat abonniere?
What is data analytics?
Why start a career in data analytics?
Why enroll in the Google Data Analytics Certificate?
What background is required?
Do you need to be strong at math to succeed in this certificate?
What tools and platforms are taught in the curriculum?
Will you be teaching R or Python?
Which “spreadsheet” platform is being taught?
Do you need to take each course in course order?
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