Online Course on edX Entitled Data Science: Visualization

edX offers an online course entitled; Data Science: Visualization, for everyone who is passionate about data visualization. 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. For that, this course will give you the skills you need to leverage data to reveal valuable insights and advance your career.

Eligibility:

You should follow the following criteria:

• Institution: HarvardX
• Subject: Data Analysis & Statistics
• Level: Introductory
• Course language: English
• An up-to-date browser is recommended to enable programming directly in a browser-based interface.

Course Content (8 weeks/ 1–2 hours per week):

As part of the Professional Certificate Program in Data Science, this course covers:

• The basics of data visualization and exploratory data analysis.
• Use of three motivating examples and ggplot2, a data visualization package for the statistical programming language R.
• Starting with simple datasets and then graduating to case studies about world health, economics, and infectious disease trends in the United States.
• Looking at How mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care.

Course cost

You can join this course for free or join the verified track for $149 which includes:

• Unlimited access to course materials.
• Shareable certificate upon completion.
• Graded assignments and exams.

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.

Course Perks:

• Free course.
• Progress at your own speed.
• Participating in research intended to enhance HarvardX's instructional offerings.

How to Apply:

To apply for this course, press "Enroll Now", then you can:

• Sign in with your Facebook or Google account.
• Or register with your:
  • name.
  • email.
  • set password.
• You will receive a confirmation email to start your course.

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