STATISTICAL ANALYSIS
Master the fundamentals of statistical analysis and econometrics in this hands-on, instructor-led course using STATA and R. Learn core techniques like regression, hypothesis testing, survival analysis, and more—designed for researchers, students, and professionals across disciplines.
Overview
Theory and Practical Applications with Statistical Software
Unlock the power of data-driven research through a hands-on, instructor-led course designed to build your foundational and practical understanding of statistics and econometrics. Whether you’re a student, researcher, or working professional, this 8–9 week program equips you with the essential skills to conduct meaningful analysis and make informed decisions.
Statistical 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:
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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.
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Software Training: Learn the practical use of industry-standard tools — STATA and R — for real-world statistical analysis.
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Comprehensive Curriculum: Covers the entire research methodology process along with a full range of statistical and econometric techniques.
What You’ll Learn:
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Research Methodology and Statistical Thinking
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Data Handling in STATA/R
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Descriptive and Inferential Statistical Techniques
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Parametric & Non-Parametric Hypothesis Testing
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Correlation and Regression Analysis (OLS, Multiple, Dummy Variables, Log Models)
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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
- 38 Lessons
- 70 Hours
- 1. Introduction to STATA & Data Types4 ItemsGet started with STATA and learn about data types and variable structures.
- 2. Descriptive Statistics (Qualitative & Quantitative Data)4 ItemsData Importing and Management Basic Commands and Data Cleaning Generating Variables and Summary Statistics Data Visualization Tools
- 3. Numerical and Graphical Methods for Quantitative Data3 ItemsUnderstand key metrics and plots for numerical data analysis.
- 4. Correlation Analysis5 ItemsMeasure the strength and direction of relationships between variables.
- 5. Inferential Statistics & Hypothesis Testing3 ItemsPopulation vs Sample Central Limit Theorem Confidence Intervals Parametric & Non-Parametric Hypothesis Testing t-test, ANOVA Mann-Whitney U, Kruskal-Wallis
- 5.1Hypothesis Testing: p-value, confidence intervals, test statistics
- 5.2Null vs Alternative Hypothesis, Type I & II Errors
- 5.3Tests Covered: z-test • t-test (one-sample, two-sample, paired) • Proportion tests • ANOVA (One-way & Two-way) • Normality tests (Skewness/Kurtosis, Shapiro-Wilk) • Non-parametric tests (Wilcoxon, Kruskal-Wallis)
- 6. Two-variable Regression Analysis4 ItemsSimple Linear Regression (OLS) Assumptions of OLS Interpretation of Output Residual Analysis and Model Fit
- 7. Multiple Regression Analysis3 ItemsMultiple Linear Regression Multicollinearity & Model Diagnostics Dummy Variable Regression Log-Linear and Log-Log Models
- Dummy Variable Models4 ItemsUse categorical predictors in regression through dummy variables.
- 9. Advanced Econometric Issues3 Items
- 10. Econometric Modelling & Specification3 ItemsLearn to build accurate models with diagnostic and selection tools.
- 11. Health Statistics Module2 ItemsApply statistical tools to survival and observational health studies.
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Course Features
- Lectures 38
- Quiz 0
- Duration 65–70 Hours
- Skill level All levels
- Language English
- Students 273
- Assessments Yes
My winter school experience at STAT2ECO was fantastic. I gained knowledge in both the fundamental and complex concepts of statistics and econometrics, including practical applications. The instructor guided us from beginner to advanced levels with patience. Thank you for a great learning experience!