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Building Data Visualization Tools

Mastering Software Development in R,

The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks. We focus on the ggplot2 framework and describe how to use and extend the system to suit the specific needs of your organization or team. Upon completing this course, learners will be able to build the tools needed to visualize a wide variety of data types and will have the fundamentals needed to address new data types as they come about.
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Rating 3.3 based on 32 ratings
Length 5 weeks
Effort 4 weeks, 2 hours per week
Starts Jul 3 (44 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructors Roger D. Peng, PhD, Brooke Anderson
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Software Development

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What people are saying

final assignment

The designers of this course designed a final assignment that is way beyond the curriculum leading up to it, and judging from the discussion forums it gives everyone severe headaches to deal with it.

The final assignment does not test you on how much you learned in the course, rather it tests you on how much time you spend on your own finding other relevant sources of information on the internet to figure it out.

Nice Some useful stuff, but you could be waiting weeks if not months to have your final assignment graded.

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own geom

This is a coding project where you need to create your own geom.

I understand that building your own geom is an advanced topic in visualization using R. However, at least for me, I rarely have this need in my work.

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Deputy Data Management Specialist $127k

Big Data Analytics Platform Architect and Business Intelligence Leader $143k

Data warehouse & BI professional $175k

Data Warehouse Solutions Architect $192k

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Rating 3.3 based on 32 ratings
Length 5 weeks
Effort 4 weeks, 2 hours per week
Starts Jul 3 (44 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructors Roger D. Peng, PhD, Brooke Anderson
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Software Development

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