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Sandro Raabe
Willkommen zu diesem projektbasierten Kurs über Datenvisualisierung mit `ggplot2` in R! Du wirst hier lernen, wie du wunderschöne und erkenntnisreiche Grafiken aus Data Frames in R erstellst. Das R-Paket `ggplot2` benutzt hierfür eine intuitive Grammatik, die deinen Denkprozess beim Erstellen der Visualisierung elegant abbildet.
Am Ende dieses zweistündigen Projekts wirst du in der Lage sein, intuitive, elegante und ansprechende Datenvisualisierungen eines beliebigen Datensatzes mithilfe des ggplot2-Pakets durchzuführen.
Register for this course and see more details by visiting:
OpenCourser.com/course/4py4z8/datenvisualisierung
What's inside
Syllabus
Projekt-Überblick
Willkommen zu diesem projektbasierten Kurs über Datenvisualisierung mit `ggplot2` in R! Du wirst hier lernen, wie du wunderschöne und erkenntnisreiche Grafiken aus Data Frames in R erstellst. Das R-Paket `ggplot2` benutzt hierfür eine intuitive Grammatik, die deinen Denkprozess beim Erstellen der Visualisierung elegant abbildet.
Am Ende dieses zweistündigen Projekts wirst du in der Lage sein, intuitive, elegante und ansprechende Datenvisualisierungen eines beliebigen Datensatzes mithilfe des ggplot2-Pakets durchzuführen.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Lässt sich in Lehrpläne für akkreditierte Institute, Bootcamps und Trainingsprogramme integrieren
Nutzt die intuitive Grammatik von `ggplot2`, die deinen Denkprozess bei der Visualisierung widerspiegelt
Kombiniert Theorie und Praxis für ein umfassendes Lernerlebnis
Fördert die Entwicklung professioneller Fähigkeiten in der Datenvisualisierung
Legt den Fokus auf ein Projekt, um praktische Erfahrungen zu vermitteln
Sorgt für die Anwendung der erlernten Konzepte auf reale Datensätze
Save this course
Save Datenvisualisierung mit ggplot2 to your list so you can find it easily later:
Save
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Datenvisualisierung mit ggplot2 with these
activities:
Review descriptive statistics
Show steps
By spending time refreshing your knowledge on descriptive statistics, you will have a stronger foundation for understanding data visualizations with `ggplot2`.
Browse courses on
Descriptive Statistics
Show steps
-
Review the central tendency types: mean, median, mode
-
Review the dispersion types: range, variance, standard deviation
-
Review the different types of graphs used to visualize data: histograms, bar charts, scatterplots
Read `ggplot2: Elegant Graphics for Data Analysis`
Show steps
This book provides a deep dive into the `ggplot2` package which will allow for more intricate and insightful data visualizations.
View
R für Data Science
on Amazon
Show steps
-
Read the introduction and first chapter
-
Work through the examples provided in the book
-
Complete the exercises at the end of each chapter
Complete the `ggplot2` tutorial on RStudio
Show steps
This tutorial will provide a guided walkthrough of the `ggplot2` package.
Show steps
-
Go to the RStudio website and find the `ggplot2` tutorial
-
Follow the instructions in the tutorial
-
Complete the exercises provided in the tutorial
Six other activities
Expand to see all activities and additional details
Show all nine activities
Create data visualizations for different datasets
Show steps
This activity will provide hands-on experience with creating data visualizations using `ggplot2`.
Show steps
-
Find a dataset that you are interested in
-
Load the dataset into R
-
Create a variety of data visualizations using `ggplot2`
Attend a workshop on data visualization with `ggplot2`
Show steps
This workshop will provide an opportunity to learn from experts and network with other professionals.
Show steps
-
Find a workshop that you are interested in
-
Register for the workshop
-
Attend the workshop
-
Follow up with the instructors and other participants after the workshop
Write a blog post about your experience using `ggplot2`
Show steps
This activity will allow you to reflect on your learning and share your knowledge with others.
Show steps
-
Choose a topic that you want to write about
-
Write a draft of your blog post
-
Edit and revise your blog post
-
Publish your blog post
Create a data visualization dashboard for a real-world problem
Show steps
This project will allow you to apply your skills to solve a real-world problem.
Show steps
-
Identify a real-world problem that you want to solve
-
Collect data that is relevant to the problem
-
Create a data visualization dashboard that presents the data in a clear and concise way
-
Use your dashboard to make recommendations for how to solve the problem
Participate in a data visualization competition
Show steps
This competition will provide an opportunity to test your skills and win prizes.
Show steps
-
Find a data visualization competition that you are interested in
-
Register for the competition
-
Create a data visualization that meets the competition requirements
-
Submit your data visualization to the competition
Create a data visualization portfolio
Show steps
This portfolio will showcase your skills and help you get a job.
Show steps
-
Collect your best data visualizations
-
Create a website or online portfolio to showcase your work
-
Share your portfolio with potential employers
Review descriptive statistics
Show steps
By spending time refreshing your knowledge on descriptive statistics, you will have a stronger foundation for understanding data visualizations with `ggplot2`.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Review the central tendency types: mean, median, mode
- Review the dispersion types: range, variance, standard deviation
- Review the different types of graphs used to visualize data: histograms, bar charts, scatterplots
Read `ggplot2: Elegant Graphics for Data Analysis`
Show steps
This book provides a deep dive into the `ggplot2` package which will allow for more intricate and insightful data visualizations.
View
R für Data Science
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and first chapter
- Work through the examples provided in the book
- Complete the exercises at the end of each chapter
Complete the `ggplot2` tutorial on RStudio
Show steps
This tutorial will provide a guided walkthrough of the `ggplot2` package.
Show steps
Show steps
Show steps
- Go to the RStudio website and find the `ggplot2` tutorial
- Follow the instructions in the tutorial
- Complete the exercises provided in the tutorial
Six other activities
Expand to see all activities and additional details
Show all nine activities
Create data visualizations for different datasets
Show steps
This activity will provide hands-on experience with creating data visualizations using `ggplot2`.
Show steps
Show steps
Show steps
- Find a dataset that you are interested in
- Load the dataset into R
- Create a variety of data visualizations using `ggplot2`
Attend a workshop on data visualization with `ggplot2`
Show steps
This workshop will provide an opportunity to learn from experts and network with other professionals.
Show steps
Show steps
Show steps
- Find a workshop that you are interested in
- Register for the workshop
- Attend the workshop
- Follow up with the instructors and other participants after the workshop
Write a blog post about your experience using `ggplot2`
Show steps
This activity will allow you to reflect on your learning and share your knowledge with others.
Show steps
Show steps
Show steps
- Choose a topic that you want to write about
- Write a draft of your blog post
- Edit and revise your blog post
- Publish your blog post
Create a data visualization dashboard for a real-world problem
Show steps
This project will allow you to apply your skills to solve a real-world problem.
Show steps
Show steps
Show steps
- Identify a real-world problem that you want to solve
- Collect data that is relevant to the problem
- Create a data visualization dashboard that presents the data in a clear and concise way
- Use your dashboard to make recommendations for how to solve the problem
Participate in a data visualization competition
Show steps
This competition will provide an opportunity to test your skills and win prizes.
Show steps
Show steps
Show steps
- Find a data visualization competition that you are interested in
- Register for the competition
- Create a data visualization that meets the competition requirements
- Submit your data visualization to the competition
Create a data visualization portfolio
Show steps
This portfolio will showcase your skills and help you get a job.
Show steps
Show steps
Show steps
- Collect your best data visualizations
- Create a website or online portfolio to showcase your work
- Share your portfolio with potential employers
Career center
Learners who complete Datenvisualisierung mit ggplot2 will develop knowledge and skills
that may be useful to these careers:
Information Designer
Information Designer
An Information Designer creates visual representations of information that are clear, concise, and visually appealing. This course can help you develop the skills needed to create data visualizations that communicate complex information in a simple and easy-to-understand way.
Data Visualization Engineer
Data Visualization Engineer
A Data Visualization Engineer designs and develops data visualizations that communicate insights and trends in data. This course can help you develop the skills needed to create visually appealing and informative data visualizations, which are in high demand in today's data-driven world.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst (Quant) uses complex mathematical and statistical techniques to analyze financial data and make investment decisions. This course can help build a foundation in data visualization, an important skill for any Quant. As a Quant, you'll need to be able to analyze data and communicate your findings to others in a clear and concise way.
Data Scientist
Data Scientist
A highly sought-after role that combines programming, statistics, and business acumen to extract insights from data. This course can help you build a foundation in data visualization, a critical skill for any aspiring Data Scientist, and help you learn how to present data in a clear and compelling way.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns to promote products and services. This course can help build a foundation in data visualization, an essential skill for any aspiring Marketing Manager, and teach how to present data in a clear and compelling way.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. This course can help you develop the skills needed to analyze data and present your findings in a clear and concise way.
Market Researcher
Market Researcher
Market Researchers gather and analyze data related to consumer behavior and market trends. They use this information to help businesses understand their customers and make better decisions about their products and services. This specialization includes a course that covers how to analyze data and present it visually. Completing the course can help you gain the skills needed to succeed as a Market Researcher.
Data Journalist
Data Journalist
A Data Journalist uses data to tell stories. They work with reporters and editors to create data-driven articles and visualizations that can be easily understood by a general audience. This course can help you develop the skills needed to analyze data, create data visualizations, and communicate your findings in a clear and engaging way.
User Experience (UX) Designer
User Experience (UX) Designer
A UX Designer designs user interfaces and experiences for websites, apps, and other digital products. This course can help you develop the skills needed to create data visualizations that are both visually appealing and easy to use.
Business Analyst
Business Analyst
A Business Analyst's job is to understand a business's needs and then use data to help the business improve its operations. This course can help you develop the skills needed to analyze data and present your findings in a clear and concise way.
Financial Analyst
Financial Analyst
A Financial Analyst uses financial data to make investment recommendations and provide financial advice. This course can help you develop the skills needed to analyze data and present your findings in a clear and concise way.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure. This course can help you develop the skills needed to analyze data and understand how to present information in a way that is easy to use.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of a product. They work with engineers, designers, and marketers to bring a product to market. This course can help you develop the skills needed to analyze data and understand how to present information in a way that is easy to use.
Data Analyst
Data Analyst
A Data Analyst takes raw data and turns it into useful information that can be utilized by a company or organization to make better decisions. This course would be helpful for a Data Analyst because it teaches how to visualize data in a way that is both visually appealing and easy to understand. This ability to communicate information in a clear way is an essential skill for any Data Analyst.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course can help you develop the skills needed to analyze data and understand how to present information in a way that is easy to use.
For more career information including salaries, visit:
OpenCourser.com/course/4py4z8/datenvisualisierung
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Datenvisualisierung mit ggplot2.
Dieses Buch ist das Standardwerk zu `ggplot2` und bietet eine umfassende Einführung in die Grundlagen und fortgeschrittenen Techniken der Datenvisualisierung mit `ggplot2`. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
Save
Dieses Buch bietet eine umfassende Einführung in die Datenanalyse mit R und deckt Themen wie Datenimport, Datenaufbereitung, Datenvisualisierung und statistische Modellierung ab. Es ist eine wertvolle Ressource für alle, die ihre Datenanalysefähigkeiten verbessern möchten.
Save
Dieses Buch bietet einen Überblick über die Prinzipien der Datenvisualisierung und vermittelt Best Practices für die Erstellung effektiver und ansprechender Grafiken. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
Dieses Buch bietet eine praktische Einführung in `ggplot2` und deckt Themen wie Datenimport, Datenaufbereitung, Datenvisualisierung und statistische Modellierung ab. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
Save
Dieses Buch bietet eine umfassende Einführung in die Datenvisualisierung mit R und deckt Themen wie Datenimport, Datenaufbereitung, Datenvisualisierung und statistische Modellierung ab. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
Save
Dieses Buch bietet eine umfassende Einführung in die Datenanalyse mit R und deckt Themen wie Datenimport, Datenaufbereitung, Datenvisualisierung und statistische Modellierung ab. Es ist eine wertvolle Ressource für alle, die ihre Datenanalysefähigkeiten verbessern möchten.
Save
Dieses Buch bietet eine praktische Einführung in die Datenvisualisierung und vermittelt Best Practices für die Erstellung effektiver und ansprechender Grafiken. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
Save
Dieses Buch bietet eine Sammlung von Rezepten für die Erstellung verschiedener Arten von Grafiken in R. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
Save
Dieses Buch bietet eine praktische Einführung in `ggplot2` und deckt Themen wie Datenimport, Datenaufbereitung, Datenvisualisierung und statistische Modellierung ab. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
Dieses Buch bietet einen Überblick über die Prinzipien der Datenvisualisierung und vermittelt Best Practices für die Erstellung effektiver und ansprechender Grafiken. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
Save
Dieses Buch ist ein Klassiker der Datenvisualisierung und bietet einen umfassenden Überblick über die Prinzipien und Best Practices der Datenvisualisierung. Es ist eine wertvolle Ressource für alle, die ihre Datenvisualisierungsfähigkeiten verbessern möchten.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4py4z8/datenvisualisierung
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Effort
2 Stunden
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Sandro Raabe
Language
Deutsch
Good to know
Lässt sich in Lehrpläne für akkreditierte Institute, Bootcamps und Trainingsprogramme integrieren
Nutzt die intuitive Grammatik von `ggplot2`, die deinen Denkprozess bei der Visualisierung widerspiegelt
Kombiniert Theorie und Praxis für ein umfassendes Lernerlebnis
Fördert die Entwicklung professioneller Fähigkeiten in der Datenvisualisierung
Legt den Fokus auf ein Projekt, um praktische Erfahrungen zu vermitteln
Sorgt für die Anwendung der erlernten Konzepte auf reale Datensätze
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