Stata Programming-Mastering Household Survey Data Processing
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
Course Overview:
Embark on a comprehensive online course tailored to elevate researchers' technical proficiency in processing and analyzing raw household survey data using Stata programming.
Explore the significance of data standardization, integration techniques, and best practices for harmonizing datasets from diverse sources exclusively with Stata.
Acquire practical skills through hands-on examples and exercises to excel in data manipulation, cleaning, and analysis using Stata programming.
Course Duration:
Delve into 25.5 hours of content spread across nine online modules, encompassing a wide range of topics from agricultural household models to setting up complex survey designs—all taught through the lens of Stata programming.
Key Learning Objectives:
Enhance technical skills in data processing and analysis through Stata programming.
Advocate for data standardization to enhance analysis and comparability.
Facilitate seamless data integration from various sources for robust research datasets.
Learn to calculate poverty estimates using consumption aggregates derived from the Paasche Price Index and Adult Equivalent Factors with Stata programming.
Who Should Enroll:
This course is ideal for researchers, students pursuing degrees in Economics, Statistics, Public Health, and Social Sciences (Sociology, Psychology, and Political Science focusing on human behavior), as well as academicians and professionals in social and applied sciences. Those seeking to advance their research skills and leverage insights from large survey datasets for policy-making, program evaluations, and decision-making processes will benefit significantly from this Stata-focused course.
Embark on this educational journey to unlock the full potential of advanced integrated household survey data processing with Stata programming at the forefront!
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.
Instructor
- 4.7 Instructor Rating
- 65 Reviews
- 3,040 Students
- 2 Courses
Themba Chirwa, an esteemed Economist with over two decades of experience in the public sector, brings a wealth of expertise to the field. His extensive background includes spearheading research and data processing of integrated household surveys in Malawi since 2004, showcasing his commitment to data-driven insights. With a strong foundation in results-based management, strategic planning, and growth diagnostics, Themba has led transformative projects across diverse energy, water, land, transport, and education sectors. His proficiency in root-cause analysis, staff training, and developing monitoring and evaluation (M&E) tools underscores his effectiveness in driving impactful change.
Themba's consulting experience, spanning over a decade, has sharpened his skills in growth diagnostics, project formulation, economic analysis, and M&E tools design. This diverse experience underscores his adaptability across various domains. His expertise also extends to evaluation design, capacity building, and the adept use of quantitative and qualitative research methods, further highlighting his versatility and comprehensive skill set.
Themba's academic achievements include a PhD in Economics, an MA in Economics, and a Bachelor of Social Science (Economics) degree, reflecting his deep understanding of economic principles. His significant contributions to economic policy analysis through published manuscripts underscore his thought leadership in the field. As a course instructor on Udemy, Themba Chirwa brings a unique blend of practical experience, academic rigor, and a passion for empowering learners with essential skills in data analysis and research methodologies.