BASIC ECONOMETRICS
Learn the foundational concepts of economics and econometrics through this hands-on, instructor-led course using STATA and R. Designed for students, researchers, and professionals, it focuses on practical economic analysis, regression techniques, and real-world applications across academic and policy-related fields.
Overview
Statistical Basic Econometric Analysis with STATA/R
Duration: 65–70 Hours | Mode: Instructor-led | Tools Covered: STATA (Primary), R (Optional)
This comprehensive course is designed for students and professionals in Health, Business, and Economics, focusing on statistical and econometric techniques for data-driven decision-making.
Participants from Europe, North America, South America and Africa can also request us for alternative timings.
Course Highlights:
Interactive Live Classes
Conducted Monday to Friday, 8:00 PM to 9:30 PM IST (GMT+5:30), with flexible timing options for international participants.
Software Training
Learn the practical use of industry-standard tools — STATA and R — for real-world statistical analysis.
Comprehensive Curriculum
Covers the entire research methodology process along with a full range of statistical and econometric techniques.
What You’ll Learn:
-
Research Methodology and Statistical Thinking
-
Data Handling in STATA/R
-
Descriptive and Inferential Statistical Techniques
-
Parametric & Non-Parametric Hypothesis Testing
-
Correlation and Regression Analysis
(OLS, Multiple, Dummy Variables, Log Models) -
Survival Analysis and Observational Study Techniques
(especially for Health Data)
This course is tailored to help participants develop actionable skills in statistical modeling and empirical analysis, supporting academic research, data analytics, and evidence-based decision-making across disciplines.
Join a global classroom of learners from Europe, North America, South America, Africa, and beyond – and take your analytical skills to the next level.
Curriculum
- 11 Sections
- 0 Lessons
- 75 Hours
- Module 1: Introduction to STATA & Data Types0 ItemsUnderstand variable structures, STATA commands, and types of data (cross-sectional vs time series).
- Module 2: Descriptive Statistics (Qualitative & Quantitative)0 ItemsUse basic commands, visualize data, and generate statistical summaries.
- Module 3: Numerical & Graphical Methods0 ItemsInterpret metrics and plots for analyzing quantitative data.
- Module 4: Correlation Analysis0 ItemsMeasure strength and direction of relationships between variables.
- Module 5: Inferential Statistics & Hypothesis Testing0 ItemsApply t-tests, ANOVA, non-parametric tests (Mann–Whitney U, Kruskal–Wallis).
- Module 6: Two-Variable Regression Analysis0 ItemsOLS estimation, interpretation of results, and output residual diagnostics.
- Module 7: Multiple Regression Analysis0 Items
- Module 8: Dummy Variable Models0 ItemsUse categorical variables, interaction effects, and piecewise regression.
- Module 9: Advanced Econometric Issues0 ItemsTackle model specification errors, heteroscedasticity, and autocorrelation.
- Module 10: Econometric Modeling & Specification0 ItemsBuild advanced models using diagnostics and selection tools.
- Module 11: Health Statistics Module0 ItemsApply econometric tools to survival and observational health data.
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Course Features
- Lecture 0
- Quiz 0
- Duration 25–30 Hours
- Skill level All levels
- Language English
- Students 273
- Assessments Yes