Explore the basics of data visualization and exploratory data analysis in the [course_title] course.
The course includes three motivating examples and teaches about the ggplot2 which is a data visualisation package for the statistical programming language R, to code. The course illustrates some of the case studies related to world health and economics and infectious disease trends in the United States. The course also discusses how failure to discover problems often leads to flawed analyses and false discoveries.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: Harvard University.
Course Curriculum
Introduction | |||
Introduction to Data Visualization | 00:05:00 | ||
Lesson 1 | |||
Introduction to Distributions | 00:02:00 | ||
Data Types | 00:02:00 | ||
Describe Heights to ET | 00:02:00 | ||
Smooth Density Plots | 00:07:00 | ||
Normal Distribution | 00:02:00 | ||
Quantile-Quantile Plots | 00:03:00 | ||
Percentiles | 00:02:00 | ||
Boxplots | 00:02:00 | ||
Distribution of Female Heights | 00:02:00 | ||
Lesson 2 | |||
ggplot | 00:02:00 | ||
Graph Components | 00:02:00 | ||
Creating a New Plot | 00:02:00 | ||
Layers | 00:02:00 | ||
Tinkering | 00:01:00 | ||
Scales, Labels, and Colors | 00:02:00 | ||
Add-on Packages | 00:02:00 | ||
Other Examples | 00:02:00 | ||
Lesson 3 | |||
dplyr | 00:02:00 | ||
The Dot Placeholder | 00:02:00 | ||
Group By | 00:02:00 | ||
Sorting Data Tables | 00:02:00 | ||
Lesson 4 | |||
Case Study: Trends in World Health and Economics | 00:02:00 | ||
Gapminder Dataset | 00:02:00 | ||
Life Expectancy and Fertility Rates | 00:02:00 | ||
Faceting | 00:05:00 | ||
Time Series Plots | 00:05:00 | ||
Transformations | 00:08:00 | ||
Stratify and Boxplot | 00:07:00 | ||
Comparing Distributions | 00:06:00 | ||
Density Plots | 00:06:00 | ||
Ecological Fallacy | 00:05:00 | ||
Lesson 5 | |||
Introduction to Data Visualization Principles | 00:02:00 | ||
Encoding Data Using Visual Cues | 00:02:00 | ||
Know When to Include Zero | 00:03:00 | ||
Do Not Distort Quantities | 00:02:00 | ||
Order by a Meaningful Value | 00:02:00 | ||
Show the Data | 00:03:00 | ||
Ease Comparisons: Use Common Axes | 00:03:00 | ||
Consider Transformations | 00:02:00 | ||
Ease Comparisons: Compared Visual Cues Should Be Adjacent | 00:02:00 | ||
Slope Charts | 00:02:00 | ||
Encoding a Third Variable | 00:01:00 | ||
Case Study: Vaccine | 00:02:00 | ||
Avoid Pseudo and Gratuitous 3D Plots | 00:02:00 | ||
Avoid Too Many Significant Digits | 00:02:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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