STATA 201-advanced-data-analytics Software Training

Article Contents

Move beyond basic statistical analysis and learn to work with advanced econometric models through practical, research-oriented training.

Statistical software is an essential part of contemporary academic research, business analytics, and evidence-based decision-making. While learning the basics of STATA is an important first step, conducting meaningful empirical research requires a deeper understanding of econometric techniques, model selection, estimation, and interpretation.

Introducing STATA 201 – Advanced Data Analytics and Econometric Modelling by Ecofunomics, a practical training programme designed for learners who wish to develop more advanced analytical capabilities.

The programme aims to bridge the gap between knowing statistical commands and applying econometric techniques to real research problems. Whether you are preparing a dissertation, working on a PhD thesis, developing an empirical research paper or strengthening your data analytics profile, STATA 201 will help you take the next step.

What Will You Learn?

STATA 201 focuses on the practical application, estimation, and interpretation of advanced statistical and econometric techniques.

The programme covers:

Cleaning, formatting, and homogenizing data
Cross-Sectional Analysis: Understanding the concepts of cross-sectional analysis
Panel Data Analysis: Understanding panel datasets and estimating Fixed Effects (FE) and Random Effects (RE) models.
Advanced Regression Analysis: Exploring advanced regression techniques and understanding their applications.
Econometric Diagnostics: Testing for multicollinearity, heteroskedasticity, and other model-related concerns.
Logit and Probit Models: Applying binary choice models to empirical research problems.
Time-Series Econometrics: Exploring time-dependent data and relevant estimation techniques.
Research Output Interpretation: Understanding, interpreting, and presenting econometric results for academic research.

The emphasis is not simply on learning commands. It is on understanding why a particular model is used, when it is appropriate, how to estimate it, and, most importantly, how to interpret the results.

Who Should Enrol?

STATA 201 is suitable for:

Undergraduate students with basic knowledge of data analytics and statistical concepts.
Postgraduate students in Economics, Commerce, Management, Geography, Social Science, Liberal Arts and related disciplines.
Research scholars and PhD students working with quantitative data.
Faculty members and academic researchers.
Professionals interested in statistical analysis and econometric modelling.
Students who have completed STATA 101 or possess equivalent foundational knowledge of STATA.

More Than Just Classroom Training: What Do You Get?

At Ecofunomics, we believe that learning should extend beyond the classroom. Our training programmes are designed to provide learners with resources and opportunities that support their continued academic and professional development.

Enrolling in STATA 201 gives you access to:

1. Recorded Sessions for Future Reference

Revisit the concepts covered during the training through recorded video sessions. These recordings allow you to revise important topics and revisit demonstrations whenever required.

2. Comprehensive PDF Notes

Receive PDF learning materials and reference notes to support your understanding of econometric techniques, commands and practical applications.

3. Hands-on Practical Learning

Work with datasets and apply the techniques covered during the programme. The focus is on developing the ability to independently perform and interpret statistical analysis.

4. Campus Recruitment Opportunities

Students enrolled in eligible Ecofunomics training programmes can also be considered for campus recruitment opportunities facilitated by Ecofunomics and its associated partner companies.

This provides learners with an additional avenue to explore relevant job opportunities and connect with potential employers. Participation and selection will be subject to the eligibility criteria, requirements, and recruitment processes of the respective organisations. Placement is not guaranteed.

Programme Details

Particulars	Details
Programme	STATA 201 – Advanced Data Analytics and Econometric Modelling
Mode	Live online and offline
Online batch	Weekday/Weekend sessions
Offline batch	Weekday/Weekend sessions
Offline capacity	Limited to 10 students
Online batch	Minimum intake of 5 students
Tentative course commencement date	1st December 2026
Course Duration	10-12 hours (1 month)
Certification	International certificate (details at the end of the page)
Early Bird Registration	18th November 2026
Registration Close Date	25th November 2026

Course Fees and Registration Offers

We have introduced special registration offers for early applicants and returning Ecofunomics students.

Particulars	Regular Fee	Early Bird Fee (by 18 November 2026)
Online training	₹1,500	₹1,399
Offline training	₹2,000	₹1,899

Returning students are eligible for an additional ₹100 discount.

Early-bird and returning-student offers apply to their respective eligible categories. Please contact our team for registration and offer details.

Why Choose Ecofunomics?

At Ecofunomics, we believe that learning statistical software should go beyond memorising commands. Our training approach focuses on practical applications, analytical understanding, and the ability to use statistical tools confidently in research.

Through guided exercises, practical demonstrations, and real-world datasets, learners get the opportunity to apply econometric techniques and understand how statistical results contribute to meaningful research.

Our objective is to help learners develop skills that they can apply in academic research, professional assignments, and analytical work.