Course Summary
This course is designed to teach students how to create effective data visualizations using various tools and techniques. Students will learn how to communicate complex data in a clear and concise way through the use of charts, graphs, and other visual aids.Key Learning Points
- Learn how to create effective data visualizations using various tools and techniques
- Communicate complex data in a clear and concise way through charts, graphs, and other visual aids
- Develop skills in data analysis and design
Job Positions & Salaries of people who have taken this course might have
- USA: $67,000
- India: ₹5,00,000
- Spain: €30,000
- USA: $67,000
- India: ₹5,00,000
- Spain: €30,000
- USA: $75,000
- India: ₹6,00,000
- Spain: €35,000
- USA: $67,000
- India: ₹5,00,000
- Spain: €30,000
- USA: $75,000
- India: ₹6,00,000
- Spain: €35,000
- USA: $80,000
- India: ₹7,00,000
- Spain: €40,000
Related Topics for further study
Learning Outcomes
- Create effective data visualizations using various tools and techniques
- Communicate complex data in a clear and concise way through charts, graphs, and other visual aids
- Develop skills in data analysis and design
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of data analysis
- Familiarity with data visualization tools
Course Difficulty Level
IntermediateCourse Format
- Online and self-paced
- Video lectures and quizzes
- Hands-on projects
Similar Courses
- Data Visualization with Python
- Data Visualization with Tableau
Related Education Paths
Notable People in This Field
- Nathan Yau
- Edward Tufte
Related Books
Description
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
Outline
- Developing Your Eye and Finding Data
- Welcome to the Course and Project Overview
- Project Overview and Tips for Locating Data
- Data Import
- Data Viz Pointers
- Anscombe's Quartet and DatasauRus
- More Best Practices and Readings Overview
- Many Data Sources
- R for Data Science, Data Import
- Data Import Cheat Sheet
- R Graph Gallery
- UC Berkeley Data Viz Guide
- Duke University, Data Viz Guide
- Healy, Chapter 1
- Clause Wilke text, Chapters 4 and 5
- EEA Guide
- Junk Charts
- Cleaning Your Data
- Week 2 Overview
- Strings
- Lubridate
- Factors
- Joins and Pivots
- stringr Cheat Sheet
- Getting Started with stringr
- R for Data Science, Strings
- Peng, R Programming for Data Science, Regular Expressions
- R for Data Science, Ch. 16
- Lubridate Cheat Sheet
- Lubridate Reference, Intro
- R for Data Science, Factors
- Introduction to forcats
- Relational Data
- R for Data Science, Tidy Data
- stringr quiz
- lubridate quiz
- forcats quiz
- Tidying Data Quiz
- Making Your Report
Summary of User Reviews
Discover the art of data visualization with the Data Visualization Capstone course on Coursera. This course received positive reviews from its learners, who found it to be informative and engaging. One key aspect that many users thought was good was the hands-on experience it provides in creating visualizations using real-world data.Pros from User Reviews
- Provides hands-on experience in creating visualizations using real-world data
- Course content is informative and engaging
- Instructors are knowledgeable and supportive
- Offers a great opportunity to learn about data visualization techniques
- Assignments and quizzes are well-structured
Cons from User Reviews
- Some users found the course to be too basic
- A few users experienced technical difficulties with the platform
- Some learners found the course to be too time-consuming
- The course may not be suitable for advanced learners
- The price of the course may be a bit steep for some users
Collin Paschall
4.9 Raiting
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