Brief Introduction
Learn basic data visualization principles and how to apply them using ggplot2.Course Summary
Learn how to effectively communicate complex data through visualization in this comprehensive data science course from Harvard.Key Learning Points
- Explore the principles of visual perception and how they can be applied to data visualization
- Learn how to use popular data visualization tools such as Tableau and D3.js
- Gain a deep understanding of how to choose the appropriate visualization technique for your data
Related Topics for further study
Learning Outcomes
- Ability to effectively communicate complex data through visualization
- Expertise in selecting the appropriate visualization technique for a given dataset
- Proficiency in using popular data visualization tools such as Tableau and D3.js
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge (Python or R)
- Familiarity with data analysis and statistics
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Visualization with Python
- Data Visualization for All
Related Education Paths
Related Books
Description
Course description
As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.
We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important.
The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws. This course will give you the skills you need to leverage data to reveal valuable insights and advance your career.
Knowledge
- What you'll learn
- Data visualization principles
- How to communicate data-driven findings
- How to use ggplot2 to create custom plots
- The weaknesses of several widely-used plots and why you should avoid them
Summary of User Reviews
This data science visualization course at Harvard Online Learning has received positive reviews for its comprehensive curriculum and engaging teaching style. Many users found the course to be an excellent introduction to data visualization, and appreciated the practical skills they gained.Key Aspect Users Liked About This Course
The course's comprehensive curriculum was praised by many users.Pros from User Reviews
- Engaging teaching style
- Practical skills gained
- Excellent introduction to data visualization
- Comprehensive curriculum
- Good value for money
Cons from User Reviews
- Requires some prior knowledge of data science
- May be too basic for experienced data scientists
- No direct interaction with instructors
- Limited opportunities for hands-on practice
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