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Diploma in Data Science: Visualization – Edukite
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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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Diploma in Data Science: Visualization – Edukite
LEVEL 3 - DIPLOMA COURSE BADGE COURSE CERTIFICATE
48
NUMBER OF UNITS NUMBER OF QUIZZES
0
2 HOURS, 10 MINUTES
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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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Diploma in Data Science: Visualization – Edukite
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
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Diploma in Data Science: Visualization – Edukite
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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Diploma in Data Science: Visualization – Edukite
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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Diploma in Data Science: Visualization – Edukite
Submit Your Assignment
00:00:00
Certi cation
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