Mastering Household Survey Data Processing using Stata

What you'll learn
Learn STATA programming language on how to process large survey data in raw form to processed data that can be used to infer about the population
Develop and gain hands-on skills in applying insights from large survey data sets to inform policy, conduct program evaluations, and research studies
Equip researchers with the specialized technical skills required to navigate, process, and analyze raw databases effectively
Provide practical guidance on data linkage techniques, data cleaning processes, and methods for resolving inconsistencies in integrated datasets
Educate researchers on the importance of standardizing data formats, variables, and coding schemes for improved data analysis and comparison
Outline best practices for data standardization and provide guidelines on harmonizing datasets from different sources to ensure consistency
Offer strategies and tools for integrating data from various sources or surveys to create comprehensive datasets for research purposes
Requirements
Students and professionals should have a basic understanding of data manipulation and analysis. Familiarity with the Stata programming language would also be advantageous for participants to fully engage with the course content. However, this may not be necessary as the course is in itself a tutorial on how to do programming using STATA Language.
The course is also geared toward university students and professionals in various disciplines interested in gaining proficiency in Stata to enhance their research and data analysis skills and prepare them for future academic and professional opportunities.
Description
Mastering Integrated Household Survey Data Processing using Stata: A Complete Online CourseCourse Overview:Dive into a comprehensive online course to enhance researchers' technical skills in efficiently processing and analyzing raw household survey data.Learn the importance of data standardization, integration techniques, and best practices for harmonizing datasets from various sources.Gain hands-on experience through practical examples and exercises to master data manipulation, cleaning, and analysis using Stata.Course Duration: 25.5 hours across nine online modules covering topics from agricultural household models to setting complex survey designs.Key Learning Objectives:Enhance technical skills for effective data processing and analysis.Promote data standardization for improved analysis and comparison.Facilitate data integration from diverse sources for comprehensive research datasets.Learn how to compute poverty estimates based on calculated consumption aggregates generated using the Paasche Price Index and Adult Equivalent Factors.Who Should Enroll:Researchers, students pursuing professional degrees (e.g., Bachelor's, Master's, and PhD) in fields such as Economics, Statistics, Public Health, Social Sciences (Sociology, Psychology, Political Science studying human behavior), and related disciplines, academicians, and professionals in social and applied sciences seek to advance their research skills and apply insights from large survey datasets to policy-making, program evaluations, and decision-making processes.Join us on this learning journey to unlock the potential of advanced integrated household survey data processing with Stata!
Who this course is for
University Students: Both undergraduate and graduate students pursuing degrees (e.g., Bachelors, Masters, and PhD) in fields such as economics, statistics, public health, social sciences, and other related disciplines.
Researchers: Professionals involved in research projects who need to work with large household survey data to inform policy decisions and achieve development goals.
Economists: Individuals working in economic research, policy analysis, and development projects who utilize Stata for data analysis and modelling.
Statisticians: Professionals specializing in statistical analysis and data interpretation who seek to enhance their skills in handling complex survey data using Stata.
Public Health Professionals: Those working in the field of public health research, epidemiology, and health policy analysis who rely on Stata for analyzing health-related data from household surveys.
Social Scientists: Researchers in social sciences such as sociology, anthropology, and political science who use Stata for data analysis in their studies on human behavior, society, and politics.
Homepage

https://www.udemy.com/course/mastering-household-survey-data-processing-using-stata/