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100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
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Stufe „Mittel“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Chinesisch (vereinfacht), Vietnamesisch, Deutsch, Englisch...

Kompetenzen, die Sie erwerben

MappingGgplot2Data Visualization (DataViz)R Programming

Karriereergebnisse der Lernenden

33%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

20%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Chinesisch (vereinfacht), Vietnamesisch, Deutsch, Englisch...

von

Johns Hopkins University-Logo

Johns Hopkins University

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1

Woche 1

21 Minuten zum Abschließen

Welcome to Building Data Visualization Tools

21 Minuten zum Abschließen
1 Video (Gesamt 1 min), 2 Lektüren
2 Lektüren
Textbook: Mastering Software Development in R10m
Syllabus10m
3 Stunden zum Abschließen

Plotting with ggplot2

3 Stunden zum Abschließen
13 Lektüren
13 Lektüren
Introduction10m
Initializing a ggplot object10m
Plot aesthetics10m
Creating a basic ggplot plot10m
Geoms10m
Using multiple geoms10m
Constant aesthetics10m
Example plots10m
Extensions of ggplot210m
Introduction10m
Guidelines for good plots10m
Scales and color10m
To find out more10m
1 praktische Übung
Plotting with ggplot220m
Woche
2

Woche 2

2 Stunden zum Abschließen

Mapping and interactive plots

2 Stunden zum Abschließen
9 Lektüren
9 Lektüren
Introduction10m
Basics of Mapping10m
ggmap, Google Maps API10m
Mapping US counties and states10m
More advanced mapping– Spatial objects10m
Where to find more on mapping with R10m
Overview of htmlWidgets10m
plotly package10m
Creating your own widget10m
1 praktische Übung
Mapping and interactive plots20m
Woche
3

Woche 3

2 Stunden zum Abschließen

The grid Package

2 Stunden zum Abschließen
7 Lektüren
7 Lektüren
Introduction10m
Overview of grid graphics10m
Grobs10m
Viewports10m
Grid graphics coordinate systems10m
The gridExtra package10m
Where to find more about grid graphics10m
1 praktische Übung
Basics of grid graphics20m
Woche
4

Woche 4

6 Stunden zum Abschließen

Building New Graphical Elements

6 Stunden zum Abschließen
12 Lektüren
12 Lektüren
Introduction10m
Why Build a New Theme?10m
Default Theme10m
Building a New Theme10m
Summary10m
Introduction10m
Building a Geom10m
Example: An Automatic Transparency Geom10m
Building a Stat10m
Example: Normal Confidence Intervals10m
Combining Geoms and Stats10m
Summary10m

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Über den Spezialisierung Mastering Software Development in R

R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products. This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts....
Mastering Software Development in R

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