Stata Courses and Certifications

Packt

The STATA OMNIBUS: Regression and Modelling with STATA

1 rating

Master regression analysis and modeling in STATA. Learn linear and non-linear techniques, explore advanced strategies, and apply practical examples using real-world data. Gain expertise in interpreting outputs and handling complex statistical scenarios.

• Coursera
• 22 hours 47 minutes
• Self-Paced
• Paid Course

Packt

120 Quick Stata Tips

Master 120 Stata tips for efficient data management, advanced statistics, streamlined programming, and impactful visualizations. Enhance your skills in handling complex datasets, creating publication-quality outputs, and optimizing workflows.

• Coursera
• 5 hours
• Self-Paced
• Paid Course

Packt

Data Visualization in Stata

Master Stata's data visualization techniques to create compelling histograms, scatter plots, and advanced charts. Enhance your ability to interpret and present data insights effectively for informed decision-making.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Foundations of Statistical Analysis with Stata

Dive into statistical reasoning and data management with Stata. Learn to confidently manage datasets, perform simple and multiple regression, and make data-driven predictions.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

Applied Statistics Using Stata

Master statistical analysis in Stata, progressing from foundational data management to advanced multilevel, panel, and time-series modeling for real-world applications.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Advanced Statistical Modeling and Programming with Stata

Master multilevel, panel, and time-series analysis, structural equation modeling, and Stata programming to automate dynamic reporting workflows.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Applied Regression Techniques and Diagnostics in Stata

Unlock advanced regression techniques in Stata. Master dummy variables, interaction effects, and diagnostics to analyze complex data using logistic and survival analysis models.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

NPTEL-NOC IITM

Instrumental Variable Estimation: STATA Application of IV Using 2SLS - Part 9

Apply instrumental variable estimation using two-stage least squares in STATA, enhancing your econometric analysis skills with practical implementation.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Instrumental Variable Estimation: STATA Application of 2SLS - Part 8

Apply instrumental variable estimation using 2SLS in STATA, focusing on practical implementation and interpretation of results.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Stata统计软件在实证研究中的应用

Master statistical analysis and data visualization using Stata software. Learn essential techniques from basic operations to advanced modeling, including regression, factor analysis, and Logit models for empirical research.

• XuetangX
• Self-Paced
• Free Online Course

IIT Roorkee;  NPTEL

Handling Large-Scale Unit Level Data

Learn to handle and analyze large-scale unit-level data using STATA. Covers data collection, tabulation, descriptive and inferential statistics, qualitative variables, and longitudinal data analysis for various fields.

• Swayam
• 8 weeks
• Available until Sep 11, 2026
• Free Online Course

Intermediate Importing Data in R

287 ratings at DataCamp

In this course, you will take a deeper dive into the wide range of data formats out there.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

NPTEL-NOC IITM

Multinomial Regression Model - Part III: Empirical Estimation and STATA Application

Explore empirical estimation of bi-variate logit and its STATA application in multinomial regression models, enhancing statistical analysis skills.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Dynamic Panel Data Model: Lag Sensitivity and STATA Application - Part 16

Explore lag sensitivity in Dynamic Panel Data models and apply DPD techniques using STATA for advanced econometric analysis.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Introduction to R and Machine Learning using R

Machine learning is a technique that uses large data sets to make predictions. R is an open source, statistical software that is always evolving. In this course you can learn how to use R and/or how to apply it to machine learning problems.

• OpenLearning
• 8 hours
• Self-Paced
• Paid Course