Track
Interactive Data Visualization in R
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Interactive Data Visualization in R
Prerequisites
There are no prerequisites for this trackCourse
Learn how to produce interactive web maps with ease using leaflet.
Course
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
Course
Learn to create animated graphics and linked views entirely in R with plotly.
Course
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Complete
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FAQs
Is this Track suitable for beginners?
Yes, this Track is suitable for beginners. This track covers a range of topics from basic to intermediate level, making it easily accessible for all. Additionally, the courses involve lots of hands-on experience with the datasets provided, allowing beginners to practice and build their skills.
What is the programming language of this Track?
The programming language of this Track is R.
Which jobs will benefit from this Track?
This Track is ideal for anyone looking to develop skills in interactive data visualization, such as Data Scientists, Business Analysts, Data Architects, and Systems Analysts. Additionally, this Track will be beneficial for any professional looking to develop their career in Information Management, Data Warehousing, and Machine Learning.
How will this Track prepare me for my career?
This track provides the opportunity to walk through and practice several different packages for manipulating and exploring data. You will have the chance to practice and deepen your understanding on interactive data visualization tools in R. Ultimately, you will acquire the skills necessary to become confident and proficient in many of the commonly used data visualization techniques
How long does it take to complete this Track?
This Track typically takes 16 hours to complete.
What's the difference between a skill track and a career track?
A skills track focuses on acquiring a specific skill while a career track focuses on how to leverage the skills to benefit your career or utilize them in the workplace. A skills track is ideal for learners to practice and build their abilities while a career track is great for working professionals looking to utilize the acquired skills in their career.
What packages does this track use?
This track uses various packages such as Plotly, Trelliscope, and Leaflet in R.
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