Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Learn about advanced graphing techniques and how to generate these in Stata
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Learning and applying new visual techniques can often be a daunting experience. This is especially true if you need to generate and code data visualizations yourself.
This course is designed to provide you with a compact, and easy to understand, set of videos that focus on the basic principles behind many common data visualization and how you can code them in Stata.
The course is modular; just click on the graphs that you are most interested in and learn away. You do not need to follow this course linearly.
This course will teach you many different methods to visualize data and how to generate these yourself in Stata
Visualizing and graphing data is a vital in modern data analytics. Whether you are a data scientist, student of quantitative methods or a business user, having an understanding of how to visualise data is an important aspect in getting data information across to other stakeholders. Many different ways of visualising data have been devised and some are better than other. However, each method has advantages and disadvantages and having a solid understanding of what visualization might be best suited is key to delivering a concise and sharp "data message".
Often, it takes years of experience to accumulate knowledge of the different graphs and plots. In these videos, I will outline some of the most important data visualization methods and explain, without any equations or complex statistics, what are the advantages and disadvantages of each technique.
I will also demonstrate how each graph can be created, modified and customised in Stata.
The main learning outcomes are:
To learn and understand the basic methods of data visualization
To learn, in an easy manner, variations and customisations of basic visualization methods
To gain experience of different data visualization techniques and how to apply them
To learn and code many Stata graphs
To gain confidence in your ability to modify and create bespoke data visualisations in Stata
Please note the following: You should have some understanding of how Stata works and what .do files are. If you are totally new to Stata you should take a look at my "Essential Guide To Stata" course that explains Stata from the ground up. This course focuses specifically on how to create many different types of graphs and all their possible options and sub-options.
Specific themes include:
Histograms
Density plots
Spike plots
Rootograms
Box plots
Violin plots
Stem-and-Leaf plots
Quantile plots
Bar graphs
Pie charts
Dot charts
Radar plots
Scatter plots
Heat plots
Hex plots
Sunflower plots
Lines of best fit
Area plots
Line plots
Range plots
Rainbow plots
Jitter plots
Table plots
Baloon plots
Mosaic plots
Chernoff faces
Sparkling plots
Bubble plots
and more
Course Content
- 6 section(s)
- 80 lecture(s)
- Section 1 Introduction
- Section 2 Graphs for single continuous variables
- Section 3 Plots for single discrete variables
- Section 4 Plots for two continuous variables
- Section 5 Plots for two discrete variables
- Section 6 Plots for three or more variables
What You’ll Learn
- Data visualisation
- Graphing in Stata
- Basic plot types
- Intermediate plot types
- Advanced plot types
- Distribution plots
- Relationship plots
- Categorical plots
- Specialised plots
- Stata code
- Advanced Stata code
Skills covered in this course
Reviews
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AAnsu Basu
He is a truly excellent presenter
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UUlysses Ferreras
Everything is explained very well. Appreciate all the effort. All the shared information will be useful in my line of work. Many thanks🙏🙏🙏
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OObumneme Ezeanosike
Great
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RRobert Gow
I didn't realize this course was part of the Complete Guide to Stata so signed up by mistake. Regardless, it is a very good overview of Stata graphing capabilities and options and well worth it. Keeping the "do" files for future modification and use is an amazing benefit on its own.