Course Delivery

Platform: Zoom (Live & Interactive Sessions)
Mode: Lectures, real-time demos, hands-on exercises, and Q&A

🕘 Daily Schedule (Central European Time – CET)

⏰ 09:00 – 15:00 CET (Zurich) → Lecture & Live Demo, Break, Hands-on Exercises, Q&A, and Wrap-up

📅 Registration closes on 25 August – don’t miss out!

Register Here 👇

What You Get

✅ Certification: Digital Certificate of Completion

📦 Materials Provided: Sample datasets, code scripts, practice files, and a digital course manual

🔄 Post-Course Support: Continued access to code scripts for reference and practice

Course Overview

🔹 Day 1 – Stata Basic: Hands-on Introduction

Get started with Stata in a beginner-friendly crash course. This session is all about building your foundation—learning the interface, importing data, cleaning it, and producing quick visuals and summaries.

Learning Outcomes

• Navigate Stata’s interface and use do-files/log files

• Import and label data from Excel/CSV

• Clean datasets and handle missing values

• Create descriptive statistics and visualizations

Key Topics

• Stata Interface, Do-files, and Log Files

• Importing/Exporting Data (Excel, CSV, DTA)

• Variable types, labeling, and summaries

• Data Cleaning: recoding, missing values, generating new variables

• Graphs: Histograms and Bar Charts

• Saving, filtering, and organizing your datasets

• Q&A session with live guidance

🔰 Prerequisites: No prior experience required
🎓 Designed for: Students, beginners, early-career researchers in social sciences, health, economics, and related fields

🔹 Day 2 – Stata Intermediate: Modeling & Analysis

Ready to dive deeper? This session strengthens your skills in managing complex data, running statistical tests, and interpreting regression models.

Learning Outcomes

• Manage and reshape datasets for real-world research

• Run t-tests, ANOVA, and various regression models

• Create dummy variables and grouped summaries

• Visualize results clearly for reports and papers

Key Topics

• Data Management: reshape, append, merge

• String & Date Variables

• Dummy Variables & Group Summaries

• Statistical Tests: t-tests, Chi-square, ANOVA

• Linear Regression

• Binary Outcome Models: Logit, Probit

• Categorical Outcome Models: Multinomial, Ordinal Logistic

• Count Models: Poisson, Negative Binomial

• Visualizations: Boxplots and Scatterplots

• Reproducibility using Do-files

🔰 Prerequisites: Completion of Stata Basic or equivalent experience
🎓 Designed for: Graduate students, researchers, and analysts applying Stata in academic and policy settings

🔹 Day 3 – Stata Advanced: Mastering Research Techniques

Step up to expert level. Learn to handle panel data, run time-series models, and apply advanced techniques like survival analysis and automated reporting.

Learning Outcomes

• Model panel and time-series data confidently

• Perform non-linear regression and survival analysis

• Automate your analysis for reproducibility

• Use advanced econometric trend models

Key Topics

• Panel Data: Fixed & Random Effects, Difference-in-Differences (DID)

• Time Series: tsset, lags, differencing

• Non-linear Regression: Polynomial, Log-linear, Interaction Effects

• Trend Models: Linear, Quadratic, Exponential Time Trends

• Survival Analysis: Kaplan-Meier, Log-Rank Test, Cox Model

• Survey Data & Sampling Weights

• Report Automation: esttab, outreg2

• Final Q&A and Wrap-up

🔰 Prerequisites: Strong working knowledge of Stata and regression models
🎓 Designed for: Experienced users, researchers, statisticians, and data professionals aiming for publication-ready analysis

Instructor

Sabiha Gulshan is a statistics and demography expert with a strong academic background and deep hands-on experience in Stata. She holds an M.Sc. in Demography from Stockholm University, along with M.Sc. and B.Sc. Honours degrees in Statistics. With her focus on real-world application in social research, health data, and survey analysis, she brings a practical, engaging teaching style that bridges theory and practice.

Registration & Pricing

Course Fee: Free
Register at: www.sciexperts.com/register

Technical Requirements

• Software: Stata 18 or higher (trial available upon request)

• Device: Laptop (Windows/Mac) with stable internet

• Zoom: Latest version installed; headset recommended

• Language: Instruction in English

• SciExperts will provide resources and materials, including sample datasets, scripts, practice files, and a digital course manual.

Why Join?

✨ Practical Skills: Hands-on training with real-world datasets

🎯 Expert Guidance: Learn directly from an experienced instructor

📈 Research Ready: Build confidence in producing high-quality, publishable analysis