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An Introduction to Stata

This is an introductory course to Stata. The course assumed to previous knowledge of the software nor any statistical knowledge. The course does not teach statistics. The goal of the course is to teach students about the basic functionality of Stata and how it can be used to analyze large data sets. The course contains two projects for students to work on. It also provides a step-by-step approach in covering all of the material where I go through the commands one by one. In addition to the video lectures, I have included the scripts of the lectures so that students can also study and revise the material without having to watch videos. Although Stata comes with many data sets, this course utilizes my own data sets in order to explain to students the thought process involved in collecting data.

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What's inside

Learning objectives

Navigating the graphical user interface
Create and import new datasets
Format datasets
Modify records

Encode variables
Generate specific output for different types of variables
Create and use do files

Navigating the graphical user interface
Create and import new datasets
Format datasets
Modify records
Encode variables
Generate specific output for different types of variables
Create and use do files

Syllabus

Navigate around the Stata user interface

Introduction to the user interface

Why data matters

Navigating the graphical user interface

Looking at a dataset

Organizing work by using directories

The help and search commands

Stata and the Internet

Conclusion

Create a new dataset

Introduction to datasets + navigating to the correct folder

Ceating a dataset by typing + Activity

Creating a dataset by importing

Loading a dataset

Format a dataset

Introduction: The importance of formatting

Naming the variables

Labelling variables

Labelling values

Encoding categorical variables

Project

Display certain parts of the dataset

Introduction: Looking at specific records

The _n variable and the in qualifier

The if qualifier and the AND and OR operators

Display information about each variable

Introduction to variables

Inspecting numerical variables

Inspecting categorical variables

Modify the dataset

Introduction: Why modify the data?

Renaming variables

Replacing values

Generating a new variable

Deleting a variable or an observation

Create and use do files

Introduction: Programming using Stata

Creating and saving a do file

Using do files

Conclusion to the course - Final Project

Recap of the course

Final activity

Conlcusion: Next steps

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Helps learners who do not have any statistical knowledge understand the basic functionality of Stata to analyze large data sets

For beginners with no previous knowledge of the Stata software

Builds a strong foundation in Stata that can strengthen an existing foundation

Students can study at their own pace using video lectures and scripts of the lectures

Utilizes its own data sets to explain the thought process involved in collecting data

Uses a step-by-step approach in covering the material and goes through the commands one by one

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Reviews summary

Accessible introduction to stata

According to students, this course offers a clear explanation of the basics of Stata. Learners say that it is a good starting point to become more comfortable with Stata.

Course provides a clear explanation of the basics of Stata

"Pretty clear explanation and help me to understand the basics of Stata."

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 An Introduction to Stata with these activities:

Refresh your understanding of basic statistics

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This course does not assume any prior statistical knowledge. However, by reviewing basic statistical concepts, you can strengthen your foundation and be better prepared for the course materials.

Browse courses on Statistics

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Review your notes or textbooks from previous statistics courses.
Take practice quizzes or online assessments to test your understanding.
Find a study buddy or join a discussion forum to discuss statistical concepts.

Review statistical concepts

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This course assumes no prior statistical knowledge, but it is helpful to review basic statistical concepts before starting.

Browse courses on Statistics

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Read through your old statistics notes or textbook chapters.
Complete a few practice problems from your old statistics homework assignments.

Read Stata User's Manual

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The Stata User's Manual has a lot of useful information, so it is a good idea to read it.

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Go through the Stata User's Manual and read the chapters that are relevant to your research.
Make notes of the most important information.

Nine other activities

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Create a Stata dataset

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Creating a Stata dataset will help you get familiar with the software and how to organize your data.

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Enter your data into a Stata dataset.
Clean and format your data.
Save your dataset.

Explore Stata's online tutorials

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Stata provides comprehensive tutorials on its website. By following these tutorials, you can familiarize yourself with the basics of Stata's interface and functionality, making it easier to navigate the software during the course.

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Visit the Stata website and browse the available tutorials.
Choose a tutorial that covers a topic you're interested in or that you find challenging.
Follow the tutorial step-by-step, taking notes and practicing the commands.

Join a Stata study group

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Joining a Stata study group will help you connect with other students and learn from each other.

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Find a Stata study group online or at your school.
Attend the study group meetings regularly.
Participate in the discussions and ask questions.

Practice using Stata commands

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Practice using Stata commands will help you become more proficient in using the software.

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Find practice problems online or in a Stata manual.
Go through the examples in the Stata help files.

Create a Stata do file

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Creating a Stata do file will help you automate your analysis and make it easier to reproduce your results.

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Write a script that performs a simple analysis, such as calculating descriptive statistics or creating a graph.
Save your script as a do file.
Run your do file to make sure it works correctly.

Practice data manipulation in Stata

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Practice data manipulation in Stata will help you become more proficient in using the software.

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Find practice problems online or in a Stata manual.
Go through the examples in the Stata help files.

Practice using Stata commands regularly

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Regular practice is essential for mastering Stata. Dedicate time to working with the software, experimenting with different commands, and analyzing your own datasets. This will enhance your proficiency and confidence in using Stata.

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Set aside specific time slots for Stata practice.
Find real-world datasets or create your own to practice on.
Experiment with different Stata commands to analyze your datasets.

Attend a Stata workshop

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Attending a Stata workshop will help you learn more about the software and how to use it for your research.

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Find a Stata workshop that is relevant to your research.
Attend the workshop and take notes.
Apply what you learned from the workshop to your own research.

Start a small Stata project

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Starting a small Stata project will help you apply the skills you have learned in the course in a practical setting.

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Choose a dataset to work with.
Define your research question.
Write a Stata do file to perform your analysis.
Write a report summarizing your results.

Career center

Learners who complete An Introduction to Stata will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist analyzes data and identifies trends and patterns. This course introduces the basics of Stata, which is often the software of choice for Data Scientists, especially those who work in social science. Stata is a powerful tool that can be used to clean, analyze, and visualize data. This course will help you build a strong foundation in Stata, which will be essential for your success as a Data Scientist.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical methods to analyze data and make predictions. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Statistician

A Statistician collects, analyzes, and interprets data. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Statistician.

See salaries and explore the career path for Statistician

Market Researcher

A Market Researcher collects and analyzes data to understand consumer behavior. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Market Researcher.

See salaries and explore the career path for Market Researcher

Data Analyst

A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Data Analyst.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst uses data to identify problems and opportunities within a business. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Business Analyst.

See salaries and explore the career path for Business Analyst

Actuary

An Actuary analyzes data to assess risk and uncertainty. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as an Actuary.

See salaries and explore the career path for Actuary

Epidemiologist

An Epidemiologist investigates the causes and patterns of disease. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as an Epidemiologist.

See salaries and explore the career path for Epidemiologist

Biostatistician

A Biostatistician applies statistical methods to solve problems in the field of biology. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Biostatistician.

See salaries and explore the career path for Biostatistician

Health Economist

A Health Economist analyzes data to assess the cost and effectiveness of healthcare interventions. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Health Economist.

See salaries and explore the career path for Health Economist

Public Health Analyst

A Public Health Analyst collects and analyzes data to assess the health of a population. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Public Health Analyst.

See salaries and explore the career path for Public Health Analyst

Economist

An Economist analyzes data to understand economic trends and patterns. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as an Economist.

See salaries and explore the career path for Economist

Financial Analyst

A Financial Analyst analyzes data to make investment decisions. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Risk Manager

A Risk Manager analyzes data to assess and manage risk. This course introduces the basics of Stata, which is a powerful tool for analyzing data. The course will help you build a strong foundation in Stata, which will be essential for your success as a Risk Manager.

See salaries and explore the career path for Risk Manager

Consultant

A Consultant provides advice to businesses and organizations on a variety of topics. This course introduces the basics of Stata, which can be a helpful tool for analyzing data and making recommendations. While this course does not provide a comprehensive foundation in consulting, it may be a useful starting point for those interested in this field.

See salaries and explore the career path for Consultant

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in An Introduction to Stata.

Stata User's Guide

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Is the official documentation for Stata. It comprehensive reference for all of Stata's commands and functions.

An Introduction to Stata

14 deals to help you save

What's inside

Learning objectives

Syllabus

Good to know

Save this course

Reviews summary

Accessible introduction to stata

Activities

Career center

Reading list

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