Udemy - Data Visualization in Stata

What you'll learn:
Data visualisation
Graphing in Stata
Basic Description types
Intermediate Description types
Advanced Description types
Distribution Descriptions
Relationship Descriptions
Categorical Descriptions
Specialised Descriptions
Stata code
Advanced Stata code
Requirements
Basic Stata knowledge
Basic Stata coding (.do files, commands, varlists and options)
Description
Make sure to check out my twitter feed for promo codes and other updates (easystats3)
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 Descriptions. 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 Descriptions
Spike Descriptions
Rootograms
Box Descriptions
Violin Descriptions
Stem-and-Leaf Descriptions
Quantile Descriptions
Bar graphs
Pie charts
Dot charts
Radar Descriptions
Scatter Descriptions
Heat Descriptions
Hex Descriptions
Sunflower Descriptions
Lines of best fit
Area Descriptions
Line Descriptions
Range Descriptions
Rainbow Descriptions
Jitter Descriptions
Table Descriptions
Baloon Descriptions
Mosaic Descriptions
and more
Who this course is for
Stata users
Data analysts
Data scientists
Quantitative degree students
Quantitative business users
Economists, Social Scientists, Political Scientists, Biostatisticians, and other disciplines
Homepage

https://www.udemy.com/course/data-visualization-in-stata/