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自分のスケジュールですぐに学習を始めてください。
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中級レベル
約5時間で修了
英語
字幕:グルジア語, エストニア語, ドイツ語, タイ語, 英語, 日本語, ネパール語...
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル
約5時間で修了
英語
字幕:グルジア語, エストニア語, ドイツ語, タイ語, 英語, 日本語, ネパール語...

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ジョンズ・ホプキンズ大学(Johns Hopkins University) ロゴ

ジョンズ・ホプキンズ大学(Johns Hopkins University)

シラバス - 本コースの学習内容

1

1

21分で修了

Obtain and Clean the Data

21分で修了
1件のビデオ (合計1分), 2 readings
1件のビデオ
2件の学習用教材
Introduction10 分
Module 1: Obtain and Clean the Data10 分
2

2

10分で修了

Building Geoms

10分で修了
1 reading
1件の学習用教材
Module 2: Visualization Tools10 分
3

3

10分で修了

Building a Leaflet Map

10分で修了
1 reading
1件の学習用教材
Module 3: Mapping Tools10 分
4

4

2時間で修了

Documentation and Packaging

2時間で修了
2 readings
2件の学習用教材
Documentation and Packaging Tasks10 分
Testing10 分

Mastering Software Development in R専門講座について

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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  • 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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