Data Science: Visualization

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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.

What you will learn

• Data visualization principles
• How to communicate data-drivenfindings
• How to use ggplot2 to create custom plots
• The weaknesses of several widely-used plots and why you should avoid them

Skills you learn

• Health Economics
• Exploratory Data Analysis
• Infectious Diseases
• Data Visualization
• Statistical Programming
• Ggplot2
• Data Science

Auto Summary

Enhance your data science skills with the "Data Science: Visualization" course, designed for IT and Computer Science enthusiasts. Guided by expert instructors from edX, this foundational 12-week program focuses on data visualization using ggplot2 and R. Explore datasets related to world health, economics, and infectious disease trends, while learning to identify and manage biases and errors. Ideal for professionals seeking to leverage data insights, this course is part of the HarvardX Professional Certificate in Data Science. Enroll now to advance your analytical capabilities and career.