Data Science: Visualization, Online Course from Harvard

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Product is rated as #17 in category Data Science
Learning Experience9.4

In this course on Data Science: Visualization, you’ll learn basic data visualization principles and how to apply them using ggplot2.

Last updated on July 22, 2021 2:26 pm

Introduction

In this course on Data Science: Visualization, you’ll learn basic data visualization principles and how to apply them using ggplot2.

About this course

As part of this Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. You will be able to use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. You can get started with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.

Also, you will 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 from Data Science: Visualization?

  • 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.

Prerequisites

  • An up-to-date browser is recommended to enable programming directly in a browser-based interface.

Syllabus

Introduction and Welcome

Section_1: Introduction to Data Visualization and Distributions

Section_2: Data Science: Visualization using ggplot2

Section_3: Data Science: Visualization: Summarizing with dplyr

Section_4: Data Science: Visualization using Gapminder

Section_5: Data Visualization Principles

Comprehensive Assessment and End of Course Survey

Note: Your review matters 

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

FAQ

Free Course
Verified Certificate at

$149.00

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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Data Analysis Data Science
Learning Experience
9.4
PROS: Engaging, well-organized course with a quick technical review. Exercises provided, the themes are interesting to the proposed activities. Not theoretical, nor about programming, this Course is quite interesting and practically oriented. You will gain lot of practical knowledge in a minimum amount of time and effort.
CONS: Exercises are based on quite complicated pieces of code. Discussion Forums are full of people who written code meeting all conditions and still not accepted by algorithm. Found the difficulty level adequate.

Description

Introduction

In this course on Data Science: Visualization, you’ll learn basic data visualization principles and how to apply them using ggplot2.

About this course

As part of this Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. You will be able to use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. You can get started with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.

Also, you will 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 from Data Science: Visualization?

  • 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.

Prerequisites

  • An up-to-date browser is recommended to enable programming directly in a browser-based interface.

Syllabus

Introduction and Welcome

Section_1: Introduction to Data Visualization and Distributions

Section_2: Data Science: Visualization using ggplot2

Section_3: Data Science: Visualization: Summarizing with dplyr

Section_4: Data Science: Visualization using Gapminder

Section_5: Data Visualization Principles

Comprehensive Assessment and End of Course Survey

Note: Your review matters 

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

FAQ

Specification:

  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Data Analysis Data Science

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Data Science: Visualization, Online Course from Harvard
Data Science: Visualization, Online Course from Harvard

$149.00

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