Explore the basics of data visualization and exploratory data analysis in the Diploma in Data Science: Visualization 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.
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Diploma in Data Science: Visualization
( 9 REVIEWS ) 1984 STUDENTS
Explore the basics of data visualization and exploratory data analysis in the course. The course
includes three motivating examples and …
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LEVEL 3 - DIPLOMA
COURSE BADGE
COURSE CERTIFICATE
48NUMBER OF UNITS
0NUMBER OF QUIZZES
2 HOURS, 10 MINUTES
HOME CURRICULUM REVIEWS
Explore the basics of data visualization and exploratory data analysis in the Diploma in Data Science:
Visualization 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 awed
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 Certi cate at a cost of £49.
Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can:
Add the certi cate to your CV or resume and brighten up your career
Show it to prove your success
Course Credit: Harvard University.
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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
COURSE CURRICULUM
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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
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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 Signi cant Digits 00:02:00
Assessment
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Submit Your Assignment 00:00:00
Certi cation 00:00:00
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