Basics of Data Visualization Analysis
Basics of Data Visualization Analysis
What you’ll learn
Skills you’ll gain
In-depth research can easily become a mess of usable material piled into an unorganized mini mountain of information. In this course, Franz Buscha PhD, College Research Director of the Westminster Business School, will teach you how to use numerous data visualization methods to evaluate and analyze your data to best understand it. He'll teach you the basics of data sets, including their elemental differences and similarities and the role these sets play in a different visualization dimensions. You'll learn about the myriad different types of graphs and charts used in data visualization like histograms, a collection of plot graphs, as well as box and pie charts. Franz will ensure you know when and how to use certain graphs and charts to best visualize your data. After completing this course, you'll be ready to visualize your data in various forms.
Syllabus
Download syllabus-
1
Types of data There are many different kind of datasets, but at their core, they all contain multiple sets of numbers. 3m
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2
Basic graph elements Data visualisation takes place on graphs and charts, and while there are many types of graphs and charts, they all have the same basic elements. 5m
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3
Univariate, bivariate and multivariate analysis Data visualisation takes place on graphs and charts, and while there are many types of graphs and charts, they all have the same basic elements. 4m
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1
Histograms Histograms are a common visualization technique to show continuous distributions. 3m
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2
Density plots Density plots are a popular way to visualize continuous distributions. 3m
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3
Strip plots Strip plots offer a simpler way to visualize distributions. 2m
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4
Box plots Box pots visualize distribution using boxes. 3m
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1
Bar graphs and dot plots Bar graphs, or column graphs, are the most used visualization technique in data analysis. 4m
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2
Pie charts Pie charts are circular visualization techniques that rely on arc length and area to visualize data components. 4m
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3
Radar plots Radar plots, or spider charts, visualize discrete data along the spokes of a wheel. 3m
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1
Multiple histogram and density plots Presenting and comparing multiple continuous distributions using histograms and density plots requires careful consideration of opacity, colour and axes-scales. 3m
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2
Multiple box and violin plots When faced with many continuous distributions box and violin plots offer a compact way to visualize a large amount of data. 3m
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3
Multiple bar graphs and dot plots When faced with multiple discrete groups, bar graphs and dot plots offer a flexible and convenient way to visualize a large amount of data. 3m
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4
Multiple pie and radar plots Using pie charts and radar plots can be an effective way to display multiple discrete groups of data. 3m
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1
Scatter plots Scatter plots are the most common type of relationship plots. 4m
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2
Lines of best fit Parametric and non-parametric lines of best fit can be combined with scatterplots to create powerful visual stories. 4m
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3
Line plots When time, or some other ordered variable, is one of the relationship variables line plots are often used. 4m
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4
Table plots Table plots are a powerful tool for visualizing the relationship between variables. 4m
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1
Matrix scatter and trellis plots When faced with many dimensions or variables, relationships can be hard to analyze. 4m
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2
Bubble plots Table plots are a powerful tool for visualizing the relationship between variables. 4m
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3
Contour plots If bubble plots are not an option, then contour plots offer a final alternative to a 3D graphs. 4m
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1
Time to visualize Thanks for watching this course! Now, you should feel prepared to visualize continuous and discrete data across various distribution types. 2m
Certificate
Certificate of Completion
Awarded upon successful completion of the course.
Instructor
Franz Buscha, PhD
Franz Buscha, PhD is a Professor of Economics and College Research Director at the Westminster Business School. His expertise as a labor economist has been built over 10 years of research. Franz’s work has been published in the European Economic Review, Economics of Education Review, and the Oxford Bulletin of Economics and Statistics. Franz has also contributed to numerous policy reports and his research has been covered by media outlets such as BBC news, BBC Radio 4, The Economist, The Guardian, The Times, and Huffington Post. He’s passionate about mentoring junior researchers and providing econometric advising.
Franz Buscha, PhD
Professor of Economics and Research Director at the University of Westminster
Accreditations
Link to awards
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