125 Quick Stata Tips

125 Quick Stata Tips, available at $49.99, has an average rating of 4.65, with 126 lectures, based on 65 reviews, and has 533 subscribers.

You will learn about Fast, and to the point, useful tricks to use in Stata Data management Programming Graphics Statistics Professional level tips Advanced Stata This course is ideal for individuals who are Those working with Stata or Those wanting to skill-up in Stata or Those looking to become Stata professionals It is particularly useful for Those working with Stata or Those wanting to skill-up in Stata or Those looking to become Stata professionals.

Enroll now: 125 Quick Stata Tips

Summary

Title: 125 Quick Stata Tips

Price: $49.99

Average Rating: 4.65

Number of Lectures: 126

Number of Published Lectures: 126

Number of Curriculum Items: 126

Number of Published Curriculum Objects: 126

Original Price: £22.99

Quality Status: approved

Status: Live

What You Will Learn

Fast, and to the point, useful tricks to use in Stata
Data management
Programming
Graphics
Statistics
Professional level tips
Advanced Stata

Who Should Attend

Those working with Stata
Those wanting to skill-up in Stata
Those looking to become Stata professionals

Target Audiences

Those working with Stata
Those wanting to skill-up in Stata
Those looking to become Stata professionals

Make sure to check out my twitter feed for monthly promo codes and other updates (@easystats3)

If you want to learn more about Stata but don’t have a lot of time, this is the course for you!

In this course I provide 125 fast and to-the-point tips for Stata. These tips are professional grade and aimed at helping you become a Stata master! They cover a wide range of issues in data management, graphing, statistics and programming.

Each video is designed to be stand-alone and will take no more than 2 minutes.

Learn years worth of hard Stata knowledge in 3 hours!

You should have basic knowledge of Stata and do-files. If you do not have this check out my “Essential Guide to Stata”.

The following themes are covered:

Data Management

How to create a code book
How to create a label book
How to list only variable names
How to describe unopened data
How to search in variables
How to drop/keep variables sequentially
How to check a digital data signature
How to verify data
How to compare two datasets
How to compare variables
How to use tabulate to generate dummy variables
How to avoid many logical OR operators
How to number labels
How to use labels in expressions
How to attach one value label to many variables
How to store single values
How to use Stata’s hand-calculator
How to use text with Stata’s hand-calculator
How to select column of data in a do-file
How to rectangularize data
How to check if variables uniquely identify observations
How to drop duplicate observations
How to draw a sample
How to transpose a dataset
How to quickly expand and interact many variables
How to create publication quality tables in word
How to create publication quality tables in excel
How to export regression results
How to delete files from within Stata
How to display directory content
How to clone a variable
How to re-order variables
How to add notes to data

Statistics

How to create many one-way tables quickly
How to create many two-way tables quickly
How to sort and plot one-way tables
How to expand data instead of using weights
How to contract data to frequencies and percentages
How to compute immediate statistics without loading data
How to compute elasticities
How to set the default confidence level
How to show base levels of factor variables
How to estimate a constrained linear regression
How to bootstrap any regression
How to interpolate missing values
How to compute row statistics
How to compute standardized coefficients after linear regression
How to compute faster marginal effects
How to reduce collinearity in polynomial variables
How to use contrasting margins
How to use pairwise comparison with margins
How to define the constant in a regression
How to visualise complex polynomial models
How to identify outliers from a regression
How to inspect

Programming

How to hide unwanted output
How to force show wanted output
How to hide a graph
How to suppress error messages
How to force do-files to run to the end
How to execute programmes outside Stata
How to check memory usage
How to reduce files sizes
How timestamp commands
How to set a stopwatch
How to pause Stata
How to debug error messages
How to pause for large output
How to add custom ado folders
How to create a custom user profile
How to add comments to do-files
How to loop over non-integer values
How to monitor a loop
How to show more in the results window
How to display coefficient legends
How to squish a table
How to use and modify the Function keys
How to view command sourcecode
How to create custom correlations
How to insert current time & date into log files
How to save interactive commands
How to launch the interactive dialog box
How to view undocumented commands

Graphing

How to recover data from a graph
How to generate a combined graph with one legend
How to display RGB colors in graphs
How to make colors opaque
Why are SVG graphs useful?
How to apply log scaling to a graph
How to reverse and switch off axes
How to have multiple axes on a graph
How to display ASCII characters in graphs
How to graph the variance-covariance matrix
How to quickly plot estimated results
How to randomly displace markers
How to range plot
How to download word frequencies from a webpage
How to create a violin plot
How to show the Stata color palette
How to create custom titles
How to customize the look of graphs
How to show a correlation matrix as graphical table
How to plot a histogram with a boxplot
How to draw histograms with custom bins
How to graph a one/two/three-way table
How to recover graph code
How to do polar smoothing
How to separate scatter
How to range a graph
How to foreground/background plot
How to plotstyle
How to show multiple axes
How to quickly increase graph label ticks
How to view undocumented commandsHow to add notes to dataHow to add custom graph label ticks

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Data Management

Lecture 1: How to create a code book

Lecture 2: How to create a label book

Lecture 3: How to list only variable names

Lecture 4: How to describe unopened data

Lecture 5: How to search in variables

Lecture 6: How to drop/keep variables sequentially

Lecture 7: How to check a digital data signature

Lecture 8: How to verify data

Lecture 9: How to compare two datasets

Lecture 10: How to compare variables

Lecture 11: How to use tabulate to generate dummy variables

Lecture 12: How to avoid many logical OR operators

Lecture 13: How to number labels

Lecture 14: How to use labels in expressions

Lecture 15: How to attach one value label to many variables

Lecture 16: How to store single values

Lecture 17: How to use Stata's hand-calculator

Lecture 18: How to use text with Stata's hand-calculator

Lecture 19: How to select column of data in a do-file

Lecture 20: How to rectangularize data

Lecture 21: How to check if variables uniquely identify observations

Lecture 22: How to drop duplicate observations

Lecture 23: How to draw a sample

Lecture 24: How to transpose a dataset

Lecture 25: How to quickly expand and interact many variables

Lecture 26: How to create publication quality tables in word

Lecture 27: How to create publication quality tables in excel

Lecture 28: How to export regression results

Lecture 29: How to create and use long strings

Lecture 30: How to use emojis

Lecture 31: How to quickly create new groups

Lecture 32: How to delete files from within Stata

Lecture 33: How to display file directory content

Lecture 34: How to clone a variable

Lecture 35: How to re-order variables

Lecture 36: How to add notes to data

Chapter 3: Statistics

Lecture 1: How to create many one-way tables quickly

Lecture 2: How to create many two-way tables quickly

Lecture 3: How to sort and plot one-way tables

Lecture 4: How to expand data instead of using weights

Lecture 5: How to contract data to frequencies and percentages

Lecture 6: How to compute immediate statistics without loading data

Lecture 7: How to compute elasticities

Lecture 8: How to set the default confidence level

Lecture 9: How to show base levels of factor variables

Lecture 10: How to estimate a constrained linear regression

Lecture 11: How to bootstrap any regression

Lecture 12: How to interpolate missing values

Lecture 13: How to compute row statistics

Lecture 14: How to compute standardized coefficients after linear regression

Lecture 15: How to compute faster marginal effects

Lecture 16: How to reduce collinearity in polynomial variables

Lecture 17: How to use contrasting margins

Lecture 18: How to use pairwise comparison with margins

Lecture 19: How to define the constant in a regression

Lecture 20: How to visualise complex polynomial models

Lecture 21: How to identify outliers from a regression

Lecture 22: How to predict within and outside a regression sample

Lecture 23: How to inspect

Chapter 4: Programming

Lecture 1: How to hide unwanted output

Lecture 2: How to force show wanted output

Lecture 3: How to hide a graph

Lecture 4: How to suppress error messages

Lecture 5: How to force do-files to run to the end

Lecture 6: How to execute programmes outside Stata

Lecture 7: How to check memory usage

Lecture 8: How to reduce files sizes

Lecture 9: How timestamp commands

Lecture 10: How to set a stopwatch

Lecture 11: How to pause Stata

Lecture 12: How to debug error messages

Lecture 13: How to pause for large output

Lecture 14: How to add custom ado folders

Lecture 15: How to create a custom user profile

Lecture 16: How to add comments to do-files

Lecture 17: How to loop over non-integer values

Lecture 18: How to monitor a loop

Lecture 19: How to show more in the results window

Lecture 20: How to display coefficient legends

Lecture 21: How to squish a table

Lecture 22: How to use and modify the Function keys

Lecture 23: How to view sourcecode

Lecture 24: How to create custom correlations

Lecture 25: How to insert current time & date into log files

Lecture 26: How to save interactive commands

Lecture 27: How to create custom number lists

Lecture 28: How to change between lower and upper cases variable names and data

Lecture 29: How to change between lower and upper case text in do-files

Lecture 30: How to explicit subscript

Lecture 31: How to launch the interactive dialog box

Lecture 32: How to view undocumented commands

Chapter 5: Graphing

Lecture 1: How to recover data from a graph

Lecture 2: How to generate a combined graph with one legend

Lecture 3: How to display RGB colors in graphs

Instructors

F. Buscha
Professor

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 25 votes
5 stars: 35 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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