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Visualizing data using Stata

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Rating4.9
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Visualizing data using Stata, available at $44.99, has an average rating of 4.85, with 38 lectures, based on 62 reviews, and has 2928 subscribers.

You will learn about Look at the distribution of variables Investigate whether the distribution of a variable is symmetric or whether it follows a normal distribution Visualize group differences in a single variable Visualize group differences when more than one group division is involved Produce graphs that help us understand the associations between two variables Customize how the graphs look This course is ideal for individuals who are Beginner Stata users wanting to learn how to produce attractive and efficient graphs It is particularly useful for Beginner Stata users wanting to learn how to produce attractive and efficient graphs.

Enroll now: Visualizing data using Stata

Summary

Title: Visualizing data using Stata

Price: $44.99

Average Rating: 4.85

Number of Lectures: 38

Number of Published Lectures: 38

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

  • Look at the distribution of variables
  • Investigate whether the distribution of a variable is symmetric or whether it follows a normal distribution
  • Visualize group differences in a single variable
  • Visualize group differences when more than one group division is involved
  • Produce graphs that help us understand the associations between two variables
  • Customize how the graphs look

Who Should Attend

  • Beginner Stata users wanting to learn how to produce attractive and efficient graphs

Target Audiences

  • Beginner Stata users wanting to learn how to produce attractive and efficient graphs

This course introduces the student to the graphical capabilities of Stata. The course assumes only basic knowledge of data management in Stata. The student should be familiar with the graphical user interface, as well as with loading data sets into memory. The goal of this course is to teach the student the logic of extracting meaning from data sets using visualization tools. This is accomplished by using a single data set from the start of the course up until the very end. Students will learn how to use histograms, quantile plots, and symmetry plots. In addition, students will also learn how to use these tools in order to investigate whether group differences exist. The course then introduces students to bar graphs, box plots, and dot plots, and how these graphs can be used to study differences in groups that are divided along more than one dimension. Finally, the course shows students how to produce graphs that describe the relationship between two variables. Students are taught how to decide which type of plot is best suited for their needs. Throughout the course, students will also learn how to customize the colors and shapes used in the graphs. 

Course Curriculum

Chapter 1: Introduction to the Dataset

Lecture 1: Overview of the course

Lecture 2: The dataset

Lecture 3: Conclusion

Chapter 2: Univariate Data – Part 1

Lecture 1: Introduction

Lecture 2: Histograms

Lecture 3: Symmetry and Quantile plots

Lecture 4: Box plots

Lecture 5: Conclusion

Chapter 3: Univariate Data – Part 2

Lecture 1: Introduction

Lecture 2: Histograms

Lecture 3: Quantile-quantile plots

Lecture 4: Box plots

Lecture 5: Bar graphs

Lecture 6: Dot plots

Lecture 7: Conclusion

Chapter 4: Univariate Data – Part 3

Lecture 1: Introduction

Lecture 2: Box plots

Lecture 3: Bar graphs

Lecture 4: Dot plots

Lecture 5: Conclusion

Chapter 5: Customizing the Look and Feel of Univariate Data Graphs

Lecture 1: Introduction

Lecture 2: Titles, fonts, and legends

Lecture 3: Schemes

Lecture 4: Box plots

Lecture 5: Bar graphs

Lecture 6: Dot plots

Lecture 7: Conclusion

Chapter 6: Bivariate Data – Part 1

Lecture 1: Introduction

Lecture 2: Quantile-quantile plots

Lecture 3: Scatter plots

Lecture 4: Median-splines

Lecture 5: Parametric fits: linear, quadratic, and polynomial

Lecture 6: Conclusion

Chapter 7: Bivariate Data – Part 2

Lecture 1: Introduction

Lecture 2: Revisiting bar graphs, box plots, and dot plots

Lecture 3: Using the if qualifier with the twoway command

Lecture 4: Customizing the look with the twoway command

Lecture 5: Conclusion

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 1 votes
  • 3 stars: 4 votes
  • 4 stars: 15 votes
  • 5 stars: 41 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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