Track
Build beautiful interactive maps, explore your data by zooming into and hovering over plots, and design engaging, dynamic charts in R.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Learn how to produce interactive web maps with ease using leaflet.
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.
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.
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.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Interactive Data Visualization in R
Track
Complete
Assistant Professor of Statistics at Carleton College
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.
The programming language of this Track is R.
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.
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
This Track typically takes 16 hours to complete.
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.
This track uses various packages such as Plotly, Trelliscope, and Leaflet in R.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track
DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company
