Econometrics is Fun Training in Gurgaon, Delhi

Econometrics is Fun

Get hands-on experience at the leading models of Econometrics, seeing structures, and providing methods of identification, estimation and inferences on real data-sets

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Bridge the gap between theory and practice with our immersive Econometrics Training - Quantifying Economic Insights with Data. This course shall help you master the tools of econometric analysis to uncover relationships, test hypotheses, and forecast outcomes using real-world data. Participants will learn how to apply statistical methods to economic questions using software like R, Stata, Python, and Excel. From simple linear regression to time series modeling and panel data analysis, this training provides a rigorous foundation in both the theory and application of econometrics. Whether you're evaluating policy impacts, modeling consumer behavior, or conducting academic research, this course equips you to turn data into evidence-based insights that drive smarter decisions.

Machine Learning excels at prediction, but Econometrics provides the causal rigor essential for robust business intervention. You will learn when and how to replace correlative models with causal methods (DiD, IV) to ensure your A/B test results or policy recommendations are truly valid. Gain a deeper understanding of classical estimation theory, model misspecification, and formal hypothesis testing-skills crucial for building transparent, explainable, and accountable predictive systems in regulated industries. Elevate your practice from finding patterns to establishing truth.

You shall learn how to apply models like Logistic Regression to forecast discrete outcomes, and utilize advanced Time Series techniques to forecast demand, revenue, or commodity prices. The course emphasizes model validation and sensitivity analysis, ensuring your forecasts are reliable and your risk models accurately capture volatility. Translate complex economic principles into powerful, actionable insights that drive competitive advantage and precise financial planning.

Target Audience:-
-Economists and policy analysts conducting data-driven evaluations and forecasts
-Students and researchers in economics, finance, public policy, and social sciences
-Business analysts and consultants modeling market trends and consumer behavior
-Data scientists and statisticians applying econometric techniques to structured data
-Professionals preparing for graduate studies, research roles

Learning Outcomes:-
-Understand the role of econometrics in economic analysis and decision-making
-Formulate economic questions as testable statistical models
-Apply linear and multiple regression techniques to real-world datasets
-Diagnose and correct issues like multicollinearity, heteroskedasticity, and autocorrelation
-Analyze time series data using ARIMA, cointegration, and forecasting models
-Work with panel data using fixed and random effects models
-Use econometric software for data analysis and visualization

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

You are a graduate (or pursuing) with Maths, economics or Statistics background

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NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to Econometrics
✔ What is econometrics and why it matters
✔ Types of econometric analysis: cross-sectional, time series, panel data
✔ Economic theory vs empirical validation
✔ Overview of econometric softwares

Module 2: Simple and Multiple Linear Regression
✔ Ordinary Least Squares (OLS) estimation
✔ Assumptions of the classical linear regression model
✔ Interpretation of coefficients and goodness-of-fit
✔ Hypothesis testing: t-tests, F-tests, confidence intervals

Module 3: Violations of Classical Assumptions
✔ Multicollinearity: detection and remedies
✔ Heteroskedasticity: Breusch-Pagan and White tests
✔ Autocorrelation: Durbin-Watson test, corrections
✔ Model specification errors and omitted variable bias

Module 4: Qualitative and Limited Dependent Variable Models
✔ Binary outcome models: Logit and Probit
✔ Multinomial and ordered choice models
✔ Tobit models for censored data
✔ Applications in labor economics, marketing, and policy analysis

Module 5: Time Series Econometrics
✔ Stationarity and unit root testing
✔ ARIMA models and forecasting
✔ Cointegration and error correction models
✔ ARCH/GARCH models for volatility analysis

Module 6: Panel Data Analysis
✔ Fixed effects vs random effects models
✔ Pooled OLS and between estimators
✔ Hausman test for model selection
✔ Applications in productivity, education, and development studies

Module 7: Advanced Topics and Model Selection
✔ Instrumental variables and two-stage least squares (2SLS)
✔ Simultaneous equations models
✔ Endogeneity and omitted variable bias
✔ Model selection criteria: AIC, BIC, cross-validation

Module 8: Capstone Project and Applied Econometrics
✔ Choose a dataset
✔ Formulate an economic question and hypothesis
✔ Apply appropriate econometric techniques
✔ Present findings through a report and visualizations

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.