À propos de ce cours

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Niveau intermédiaire
Approx. 5 heures pour terminer
Anglais
Sous-titres : Géorgien, Estonien, Allemand, Thaï, Anglais, Japonais, Népalais...
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 5 heures pour terminer
Anglais
Sous-titres : Géorgien, Estonien, Allemand, Thaï, Anglais, Japonais, Népalais...

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Université Johns-Hopkins

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1

Semaine 1

21 minutes pour terminer

Obtain and Clean the Data

21 minutes pour terminer
1 vidéo (Total 1 min), 2 lectures
2 lectures
Introduction10 min
Module 1: Obtain and Clean the Data10 min
Semaine
2

Semaine 2

10 minutes pour terminer

Building Geoms

10 minutes pour terminer
1 lecture
1 lecture
Module 2: Visualization Tools10 min
Semaine
3

Semaine 3

10 minutes pour terminer

Building a Leaflet Map

10 minutes pour terminer
1 lecture
1 lecture
Module 3: Mapping Tools10 min
Semaine
4

Semaine 4

2 heures pour terminer

Documentation and Packaging

2 heures pour terminer
2 lectures
2 lectures
Documentation and Packaging Tasks10 min
Testing10 min

À propos du Spécialisation 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

Foire Aux Questions

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  • 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.

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  • 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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