Data Visualization in Stata from Udemy

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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

What's inside

Learning objectives

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
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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
Show more
Show less

Syllabus

Introduction

Graphs for single continuous variables

What is continuous data?

What is a histogram?

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Builds foundational knowledge of data visualization techniques

Provides a comprehensive overview of a range of data visualization concepts

Emphasizes practical application of visualization in Stata

Covers advanced Stata code for more in-depth customization

Requires some familiarity with Stata

Reviews summary

Practical stata data visualization

According to students, this course is a highly practical and comprehensive guide to creating various data visualizations using Stata. Many learners found the instructor's explanations clear and easy to follow, particularly appreciating the hands-on Stata code demonstrations. The modular structure allows for flexible learning, enabling students to focus on specific graph types. While the course covers a wide range of plot types and is generally well-received for its accessibility, some learners noted that a prior understanding of Stata is essential for the best experience. It's particularly lauded for its relevance to professional and academic work.

A basic understanding of Stata and .do files is necessary.

"You definitely need a basic grasp of Stata and .do files beforehand, as the course assumes this familiarity."

"As someone new to Stata, I found this course challenging, confirming the need for prerequisite knowledge."

"I understood the concepts much better because I had some prior experience with Stata syntax."

Its modular design offers flexibility, allowing learners to pick specific topics.

"The modular structure is great; I could jump straight to the graph types I needed without following linearly."

"I appreciate the flexibility to learn at my own pace and focus on relevant visualization techniques."

"It's easy to navigate and find the specific graph options I was looking for, which saves a lot of time."

Covers a very wide array of data visualization types in Stata.

"The sheer number of graph types covered is impressive and highly valuable for anyone using Stata regularly."

"I was amazed at how many different plots, from basic to specialized like Chernoff faces, I could create after this course."

"It's a very comprehensive course that touches on nearly every type of visualization I'd need in Stata."

Offers practical skills directly applicable to professional work.

"The skills I gained from this course are directly applicable to my research and professional presentations."

"Learning to create high-quality figures in Stata is crucial for communicating data effectively in my field."

"I found the examples highly relevant to my job; it significantly improved my data presentation abilities."

The course provides clear and practical Stata coding demonstrations.

"The instructor breaks down complex Stata commands into easy-to-understand steps, making them accessible."

"I found the Stata code demonstrations highly practical and directly applicable to my data work."

"The step-by-step guidance on creating different plots in Stata was extremely helpful and easy to follow."

Strong on coding 'how-to', less on theoretical principles.

"While great for practical Stata coding, it didn't delve deeply into statistical graphics principles or when to use each visualization."

"I wish there was a bit more discussion on the underlying theory of data visualization, beyond just the Stata commands."

"It's excellent for generating graphs, but for deeper insights into visualization design, I needed other resources."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Visualization in Stata with these activities:

Review Stata syntax

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Stata is very syntax-heavy. This activity will help students familiarize themselves with it before taking the course.

Browse courses on Syntax

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Go to Stata website and search for syntax help.
Read through different syntax examples.
Reread through Stata syntax docs you've collected over time.

Introductory graphing in Stata

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This activity will review some of the basic graphs in Stata, and may help close any knowledge gaps.

Browse courses on Histograms

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Find an online tutorial on graphing in Stata.
Go through the tutorial and follow along with the examples.
Try to create a few graphs of your own data.

Graph different types of variables

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Practicing graphing data with different characteristics will help students build confidence in choosing the correct graph for the data.

Browse courses on Categorical Variables

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Import a dataset containing different types of variables.
Create a graph for each type of variable.
Discuss the strengths and weaknesses of each graph.

Two other activities

Expand to see all activities and additional details

Show all five activities

Peer review of graphs

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This activity is an opportunity to receive feedback on your graphs from peers, and to provide feedback to others. This will allow for a deeper understanding of graphing principles and best practices.

Browse courses on Data Visualization

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Find a peer who is also taking the course.
Create a few graphs to share with your peer.
Exchange graphs with your peer and provide feedback on each other's work.

Create a visual data summary

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This project will challenge students to apply their graphing skills to create a visually appealing and informative data summary.

Browse courses on Data Storytelling

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Choose a dataset that you are interested in.
Create a series of graphs that tell a story about the data.
Export your graphs to a presentation or infographic format.

Career center

Learners who complete Data Visualization in Stata will develop knowledge and skills that may be useful to these careers:

Data Visualization Analyst

Data Visualization Analysts play a vital role in making complex data understandable and accessible. This course, which provides comprehensive training in data visualization principles and techniques using Stata, can help you build a strong foundation for success in this role. You'll learn how to create various graphs and plots, including histograms, scatterplots, and bubble charts, to effectively communicate insights from data.

See salaries and explore the career path for Data Visualization Analyst

Business Analyst

Business Analysts use data to analyze business processes and identify areas for improvement. This course can provide you with valuable skills in data visualization and interpretation, enabling you to effectively communicate your findings to stakeholders. You'll learn how to create clear and concise graphs and charts that help decision-makers understand complex data.

See salaries and explore the career path for Business Analyst

Data Analyst

Data Analysts collect, clean, and analyze data to extract valuable insights. This course can enhance your data visualization skills, allowing you to effectively present your findings and communicate data-driven insights to inform decision-making. You'll learn how to create compelling graphs and charts that make data more accessible and persuasive.

See salaries and explore the career path for Data Analyst

Market Researcher

Market Researchers conduct surveys and analyze data to understand consumer behavior and market trends. This course can provide you with the skills to visualize and interpret data effectively, enabling you to gain insights into target audiences and develop successful marketing strategies. You'll learn how to create persuasive graphs and charts that present research findings clearly and impactfully.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts use data to evaluate investment opportunities and make recommendations. This course can help you build a foundation in data visualization, enabling you to effectively communicate financial data and insights to investors and stakeholders. You'll learn how to create clear and concise graphs and charts that present financial information in a way that facilitates informed decision-making.

See salaries and explore the career path for Financial Analyst

Data Scientist

Data Scientists use advanced statistical methods and machine learning to extract insights from data. This course can provide you with a strong foundation in data visualization, allowing you to effectively communicate your findings and collaborate with other data professionals. You'll learn how to create sophisticated graphs and charts that illustrate complex data patterns and relationships.

See salaries and explore the career path for Data Scientist

User Experience (UX) Designer

UX Designers focus on creating user-friendly and intuitive digital products. This course can enhance your understanding of data visualization principles, enabling you to design interfaces that effectively convey information and enhance the user experience. You'll learn how to create clear and visually appealing graphs and charts that guide users through complex data.

See salaries and explore the career path for User Experience (UX) Designer

Product Manager

Product Managers are responsible for the development and success of products. This course can help you build skills in data visualization, allowing you to effectively communicate product data and insights to stakeholders. You'll learn how to create compelling graphs and charts that demonstrate product performance and user engagement.

See salaries and explore the career path for Product Manager

Marketing Manager

Marketing Managers develop and execute marketing strategies to promote products or services. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate marketing data and insights to stakeholders. You'll learn how to create clear and impactful graphs and charts that inform decision-making and demonstrate campaign performance.

See salaries and explore the career path for Marketing Manager

Sales Manager

Sales Managers lead sales teams and develop strategies to achieve sales targets. This course can provide you with the skills to visualize and interpret sales data effectively, enabling you to identify trends, forecast demand, and improve sales performance. You'll learn how to create clear and actionable graphs and charts that support decision-making and drive sales growth.

See salaries and explore the career path for Sales Manager

Operations Manager

Operations Managers oversee the day-to-day operations of an organization. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate operational data and insights to stakeholders. You'll learn how to create clear and concise graphs and charts that illustrate operational performance, identify bottlenecks, and drive process improvements.

See salaries and explore the career path for Operations Manager

Project Manager

Project Managers plan, execute, and control projects to achieve specific goals. This course can provide you with the skills to visualize and track project data effectively, enabling you to monitor progress, identify risks, and make informed decisions. You'll learn how to create clear and actionable graphs and charts that support project planning, execution, and evaluation.

See salaries and explore the career path for Project Manager

Healthcare Analyst

Healthcare Analysts use data to improve healthcare delivery and outcomes. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate healthcare data and insights to stakeholders. You'll learn how to create clear and compelling graphs and charts that illustrate healthcare trends, identify areas for improvement, and drive evidence-based decision-making.

See salaries and explore the career path for Healthcare Analyst

Economist

Economists study the economy and make predictions about its future performance. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate economic data and insights to stakeholders. You'll learn how to create clear and persuasive graphs and charts that illustrate economic trends, identify patterns, and forecast economic outcomes.

See salaries and explore the career path for Economist

Statistician

Statisticians use data to make inferences about the world. This course can provide you with valuable skills in data visualization, enabling you to effectively communicate statistical data and insights to stakeholders. You'll learn how to create clear and accurate graphs and charts that illustrate statistical distributions, test hypotheses, and draw conclusions from data.

See salaries and explore the career path for Statistician