Über diesen Kurs

3,859 kürzliche Aufrufe
Zertifikat zur Vorlage
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100 % online
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Stufe „Mittel“
Ca. 5 Stunden zum Abschließen
Englisch
Untertitel: Georgisch, Estnisch, Deutsch, Thailändisch, Englisch, Japanisch, Nepali...
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. 5 Stunden zum Abschließen
Englisch
Untertitel: Georgisch, Estnisch, Deutsch, Thailändisch, Englisch, Japanisch, Nepali...

von

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Johns Hopkins University

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1

Woche 1

21 Minuten zum Abschließen

Obtain and Clean the Data

21 Minuten zum Abschließen
1 Video (Gesamt 1 min), 2 Lektüren
2 Lektüren
Introduction10m
Module 1: Obtain and Clean the Data10m
Woche
2

Woche 2

10 Minuten zum Abschließen

Building Geoms

10 Minuten zum Abschließen
1 Lektüre
1 Lektüre
Module 2: Visualization Tools10m
Woche
3

Woche 3

10 Minuten zum Abschließen

Building a Leaflet Map

10 Minuten zum Abschließen
1 Lektüre
1 Lektüre
Module 3: Mapping Tools10m
Woche
4

Woche 4

2 Stunden zum Abschließen

Documentation and Packaging

2 Stunden zum Abschließen
2 Lektüren
2 Lektüren
Documentation and Packaging Tasks10m
Testing10m

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

Häufig gestellte Fragen

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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