The Best Stata Online Courses

Banner Image The Best Stata Online Courses

Picture this: you’re crunching numbers, analyzing data, and making well-informed decisions as you navigate the fast-paced world of data analysis. Pretty dreamy, huh? Now imagine doing all of that with confidence and ease, thanks to your newfound knowledge of Stata! That’s right, Stata— the statistical software beloved by professionals around the globe for its power and versatility. Does achieving Stata proficiency feel like a daunting task? Fret not, dear reader, for we’ve got you covered with the best online courses out there. Say hello to your future as a Stata superstar!

Buckle up as we take you on a tour of the most reputable Stata online courses to help you conquer this fantastic software. We’ve curated a list of options that cater to various experience levels, schedules, and budgets. You’ll not only come across comprehensive curriculums, but also learn from experts in the field who have designed these courses with one goal in mind: to equip you with the skills you need to excel at data analysis using Stata. So come on, let’s dive into this exciting world and get your Stata journey started on the right foot!

Stata Courses – Table of Contents

  1. The Complete Guide to Stata
  2. The Essential Guide to Stata
  3. The STATA OMNIBUS: Regression and Modelling with STATA
  4. An Introduction to Stata
  5. Data Management and Analysis with Stata.
  6. Data Visualization in Stata
  7. 125 Quick Stata Tips
  8. Logistic Regression using Stata

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The Complete Guide to Stata

Course Preview The Complete Guide to Stata


4.6 out of 5

The Complete Guide to Stata is an online course that offers a comprehensive introduction to Stata and its various uses in modern data analysis. Designed with practical application in mind, this course aims to help anyone interested in data analytics by teaching them how to manipulate, explore, visualize, and model complex types of data using Stata. The course is divided into three sub-courses which cover the essentials of Stata, provide tips and tricks, and teach advanced data visualization techniques. No prior engagement with Stata is needed, but some basic quantitative/statistical knowledge will be beneficial.

This course covers a wide range of topics such as data management, graphing, statistics, and programming and assumes a step-by-step approach to teach various techniques. A total of 125 tips and tricks are shared to support students in becoming Stata masters. Furthermore, the course dives deep into important data visualization methods and explores the advantages and disadvantages of each technique. Depending on the desired learning outcomes, students can focus on specific parts of the course, such as basic understanding of Stata, advanced Stata concepts, fast tips for Stata, data visualization, or data management concepts.

Skills you’ll learn in this course:

  1. Data manipulation and management
  2. Data exploration and visualization
  3. Correlation and ANOVA analysis
  4. Regression modeling and diagnostics
  5. Hypothesis testing
  6. Binary outcome models (Logit and Probit)
  7. Fractional response, categorical choice, count data, and survival data models
  8. Panel data and difference-in-differences analysis

The Essential Guide to Stata

Course Preview The Essential Guide to Stata


4.4 out of 5

The Essential Guide to Data Analytics with Stata is a comprehensive online course that focuses on providing an overview of data analytics using Stata. This course is perfect for anyone interested in data analytics, and no prior engagement with Stata is needed. Although prior statistical knowledge is helpful, it’s not mandatory. The course’s main objective is to teach the proper application and interpretation of code through hands-on assignments while emphasizing good practice and the practical application of commonly used statistical techniques.

Throughout the course, you’ll explore various data manipulation, visualization, and modeling techniques, eventually feeling confident in your ability to work with Stata for complex data analytics. Topics covered include getting started with Stata, viewing and exploring data, visualizing data, correlation and ANOVA, regression, hypothesis testing, various regression models, simulation techniques, count data models, survival data analysis, panel data analysis, difference-in-differences analysis, instrumental variable regression, epidemiological tables, and power analysis. This is not just an introduction to statistics; it’s an opportunity to learn how to apply and interpret statistical methods using Stata in a broad range of data analysis tasks.

Skills you’ll learn in this course:

  1. Mastering data manipulation and management in Stata
  2. Developing data visualization skills for clear communication of results
  3. Understanding and applying correlation and ANOVA techniques
  4. Conducting and interpreting linear regression analysis
  5. Employing advanced regression techniques, including logit and probit models
  6. Analyzing categorical choice outcomes utilizing ordered and multinomial logit models
  7. Navigating survival data and panel data analysis methods
  8. Executing difference-in-difference and instrumental variable regression analyses

The STATA OMNIBUS: Regression and Modelling with STATA

Course Preview The STATA OMNIBUS: Regression and Modelling with STATA


4.2 out of 5

Looking for a comprehensive online course covering linear and non-linear regression, regression modeling, and STATA? Look no further! This 4-in-1 course will walk you through everything you need to know without any complicated equations or mathematics. The focus is on the application and interpretation of regression, using animated graphics to demonstrate particular statistical concepts. No prior knowledge is necessary, making it perfect for anyone who needs to engage with quantitative analysis.

Throughout this course, you’ll learn the basic statistical intuition behind Ordinary Least Squares, general regression terminology, and various tips and tricks for linear and non-linear regression analysis. Specific topics include correlation versus causation, R-squared, Beta’s, standard errors, T-statistics, p-values, and confidence intervals, among many others. Additionally, the course offers a comprehensive introduction to STATA and its various uses in modern data analysis. By the end of the course, you’ll feel confident in your ability to handle complex data analytics using STATA. Don’t miss this great opportunity to expand your knowledge in these essential areas!

Skills you’ll learn in this course:

  1. Understand the basic statistical intuition behind Ordinary Least Squares and non-linear regression.
  2. Be comfortable with general regression terminology and assumptions.
  3. Interpret and analyze complicated linear and non-linear regression outputs.
  4. Learn tips and tricks around linear and non-linear regression analysis.
  5. Understand how Logit and Probit models work.
  6. Build practical regression models using STATA.
  7. Navigate and manipulate data within STATA.
  8. Apply various regression techniques such as OLS, Logit, Probit, and panel data analysis.

An Introduction to Stata

Course Preview An Introduction to Stata


4.7 out of 5

Are you looking to dip your toes into the world of data analysis using Stata, but you’re unsure where to start? Well, look no further! This introductory course on Stata has got you covered. The course doesn’t assume any prior knowledge of the software, or even any statistical know-how for that matter. It focuses on teaching you the basics of Stata and how to use it for analyzing those hefty data sets.

Not only does it offer two projects for students to get hands-on experience with, but it breaks down the material step-by-step, guiding you through the commands one by one. This way, you’ll have a clear understanding of what you’re doing and why! Brilliantly, the course also provides transcripts of the video lectures, so you can study at your own pace, and without having to rewatch videos. Plus, instead of using generic data sets, the course uses custom-made ones to help explain the whole process of collecting and interpreting data. So, if you’re itching to learn Stata and gain valuable insight into data analysis, this is definitely the course for you!

Skills you’ll learn in this course:

  1. Navigating Stata interface and basic functionality
  2. Importing and managing large data sets
  3. Applying Stata commands for data analysis
  4. Creating and executing Stata scripts
  5. Hands-on experience with two Stata projects
  6. Understanding the data collection process
  7. Studying and revising Stata material effectively
  8. Working with customized data sets in Stata

Data Management and Analysis with Stata.

Course Preview Data Management and Analysis with Stata.


4.5 out of 5

Are you looking to dive into Stata and Statistics? This thorough course consists of seven sections designed to teach you everything about variables and their Stata commands in Statistics. You’ll learn about nominal, ordinal, interval, and ratio variables throughout each section. So, whether you’re a rookie or have some previous knowledge, this course has got you covered!

There are two alternative ways to undertake the course. If you already have a basic understanding of Stata, start from section 3 and work your way through Data Management, Descriptive Statistics, and analysis of relationships and effects between variables. If you’re a true beginner, follow the course in its exact order, but make sure not to give up midway! It might feel overwhelming, but sticking with it ensures you reap the intended benefits. Just remember to download the resources, practice alongside the lectures, and complete all exercises. With accurate captions to aid comprehension and a separate dataset for each section, you’ll be mastering Stata and Statistics in no time. The only prerequisites are to install Stata on your computer and stay committed. Good luck!

Skills you’ll learn in this course:

  1. Master Stata commands and variables
  2. Enhance data management skills
  3. Perform descriptive statistical analysis
  4. Analyze relationships between nominal/ordinal variables
  5. Interpret relationships between nominal/ordinal and interval/ratio variables
  6. Investigate the effect of interval/ratio variables on each other
  7. Improve problem-solving skills through practice exercises
  8. Gain confidence and commitment to complete the entire course

Data Visualization in Stata

Course Preview Data Visualization in Stata


4.8 out of 5

Are you looking to improve your data visualization skills and learn how to create eye-catching graphs in Stata? This online course offers a series of modular videos that focus on the fundamental principles behind various data visualization techniques and how to code them in Stata. The best part is that you can jump straight into the topics you’re most interested in – no need to follow the course linearly!

In this course, you’ll learn about different data visualization methods and their advantages and disadvantages, without getting bogged down in complex statistics or equations. Expect to gain a wealth of knowledge on various visualization techniques, from histograms and density plots to scatter plots and bubble plots. You’ll also learn how to create, modify, and customize these graphs in Stata. So if you’re a data scientist, student, or business user with a basic understanding of Stata and .do files, this course is perfect for you! The wide range of specific themes covered in this course will enable you to choose the best visualization method for your needs and effectively communicate your data to stakeholders.

Skills you’ll learn in this course:

  1. Understanding various data visualization methods and their pros and cons
  2. Gaining experience in applying different data visualization techniques
  3. Learning to code and customize a variety of Stata graphs
  4. Enhancing confidence in creating bespoke data visualizations in Stata
  5. Mastering the art of presenting data effectively to stakeholders
  6. Developing knowledge on data analytics and data-driven decision-making
  7. Familiarizing with Stata features and functions for data visualization
  8. Expanding visualization repertoire with advanced graphs and plots

125 Quick Stata Tips

Course Preview 125 Quick Stata Tips


4.8 out of 5

Are you looking to master Stata, but short on time? Check out this online course which provides 125 quick and professional-grade tips for Stata, covering data management, graphing, statistics, and programming. Each video is designed to be a stand-alone lesson, taking no more than 2 minutes to complete. In just 3 hours, you can learn years’ worth of hard Stata knowledge!

However, keep in mind that this course is suitable for those with basic knowledge of Stata and do-files. If you’re new to Stata, consider starting with the Essential Guide to Stata before diving into this comprehensive tips-course. From creating code books and drawing samples, to computing row statistics and customizing graph styles, this course covers a wide range of relevant skills to become a Stata master. Don’t forget to follow @easystats3 on Twitter for monthly promo codes and updates!

Skills you’ll learn in this course:

  1. Advanced Data Management Techniques
  2. Creating Publication-Quality Tables and Plots
  3. In-depth Statistical Analysis
  4. Constrained and Bootstrapped Linear Regressions
  5. Debugging and Optimizing Stata Programming
  6. Customization and Efficient Use of Graphs
  7. Advanced Looping and Monitoring Techniques
  8. Working with Custom User Profiles and Ado Files

Logistic Regression using Stata

Course Preview Logistic Regression using Stata


4.8 out of 5

Looking for a comprehensive online course on logistic regression? Look no further! This course is designed to cater to both beginners and advanced learners. It’s divided into two parts and comes with an e-book and a set of slides for a well-rounded learning experience. The first part of the course delves deep into the theory behind logistic regression, presenting it in an intuitive manner while keeping math to a minimum. You’ll start by exploring contingency tables and learn how to calculate and interpret odds and odds ratios. The course then moves forward, covering various topics such as model building, prediction, assessment of model fit, and diagnostics like residuals and influential observations.

The second part of the course focuses on practical application, teaching you how to apply the knowledge you’ve gained using Stata software. By walking you through a large project, you’ll understand the type of questions that arise throughout the process, and learn which commands are most useful in addressing those questions. So, if you’re ready to dive into the world of logistic regression and gain hands-on experience, this course might just be the perfect fit for you!

Skills you’ll learn in this course:

  1. Understanding logistic regression theory intuitively
  2. Calculating and interpreting odds and odds ratios from contingency tables
  3. Applying logistic regression techniques in various scenarios
  4. Building, predicting, and assessing logistic regression models
  5. Analyzing residuals and identifying influential observations
  6. Utilizing Stata software to apply logistic regression concepts
  7. Navigating and tackling questions in a large project
  8. Executing appropriate Stata commands to address project questions

So there you have it, folks! We’ve taken you through a comprehensive list of Stata online courses designed to cater to different skill levels and learning goals. It’s now time for you to take the plunge and dive into the world of data analysis using the powerful Stata software. Remember, investing in a quality course now will undoubtedly pay off tenfold in the long run, especially for anyone aiming to excel in research, data manipulation, and visualization tasks.

As you venture on this exciting journey, bear in mind that practice makes perfect. Don’t shy away from seeking out additional resources, engaging with fellow learners, or tapping into your curiosity. Even experts in the field continue to learn each day. Make the most of these courses, put your knowledge to practice, and soon enough, you’ll feel confident as a Stata whiz. Happy learning, and cheers to expanding your skillset!