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Economics and Econometrics

Live Online Econometrics Techniques Training Course

Live online, instructor-led · next cohort Nov 2, 2026 · from USD 1,700

Economic policy, investment and programme decisions increasingly rest on statistical evidence, and weak model choices can lead to confident but wrong conclusions. Across ten days you revisit the classical linear regression model, then diagnose and correct heteroskedasticity, autocorrelation, multicollinearity and specification errors. Advanced sessions cover instrumental variables and two-stage least squares, binary and limited dependent variable models such as logit, probit and tobit, and panel data with fixed and random effects. Time series modules address stationarity, unit root tests, ARIMA, VAR, cointegration and error correction models, plus forecasting.

Upcoming live online sessions

Live Online

Nov 2 – 13, 2026

$1,700

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Live Online

Nov 16 – 27, 2026

$1,700

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Live Online

Jan 4 – 15, 2027

$1,700

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Live Online

Feb 1 – 12, 2027

$1,700

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At a Glance

How Live Online Training Works

Live online training, led by a trainer in real time, for participants anywhere.

More about live online training →
Format
Live online, instructor-led
Duration
Mon - Fri (10 Days)
Fee
USD 1,700 (KES 160,000)
Next start dates
Nov 2, 2026, Nov 16, 2026, Jan 4, 2027
Certificate
Certificate of Completion
What you need
A computer with a reliable internet connection, a webcam and a headset

About this course

This program strengthens advanced economic modeling capabilities in dynamic and data-intensive environments, while enabling a shift toward predictive analytics. Moreover, it bridges traditional statistical methods with modern econometric modeling techniques and machine learning integration.

The Econometrics Techniques Training Course is designed for professionals who need practical, current command of econometrics techniques and the ability to translate it into measurable organizational results. With rising scrutiny of performance and value for money, institutions need practitioners who can work to recognized standards and defend their decisions with evidence. This certified programme combines proven methodology with hands-on application, covering time series econometrics, econometrics principles and the analytical techniques that underpin sound professional judgement.

Throughout the programme, participants work through realistic scenarios drawn from public sector institutions, private enterprises, development organizations, and regulated professional environments, examining how econometrics techniques is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for time series econometrics, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.

Training Objectives

Upon completion of this training course, participants will be able to:

  • Design advanced econometric models for forecasting and policy evaluation
  • Analyze complex datasets using regression, panel data, and time series methods
  • Implement econometric software tools for large-scale data analysis
  • Evaluate model performance using statistical diagnostics and validation techniques
  • Apply causal inference frameworks to real-world economic problems
  • Integrate econometric insights into business and policy decision systems
  • Enhance strategic decision-making through predictive economic analytics

What you'll learn

Understand core econometrics techniques principles and how they fit together in practice.
Apply practical techniques for time series econometrics in day-to-day implementation.
Strengthen evaluation, reporting and quality-assurance capability.
Improve decision-making using evidence-driven performance information.
Develop strategies that enhance accountability and overall effectiveness.
Work confidently with the standards and frameworks that govern econometrics techniques.
Recognize the failure patterns that most often undermine time series econometrics in practice.

Key Takeaways

By the end of the Econometrics Techniques Training Course, participants will leave with:

  • Practical expertise in regression, panel, and time series modeling.
  • Mastery of econometric tools such as R, Python, and Stata.
  • Enhanced ability to interpret economic data and trends.
  • Application of causal inference in real-world scenarios.
  • Improved forecasting and risk analysis capabilities.
  • Stronger integration of analytics into strategic decisions.
  • Increased confidence in deploying advanced economic models.

Training Methodology

  • Expert-led sessions on advanced econometric methodologies
  • Practical application using statistical software tools
  • Real-world case studies across industries
  • Tool-based demonstrations and simulations
  • Interactive discussions and scenario-based learning
FAQ

Frequently Asked Questions About Live Online Econometrics Techniques Training Course

Everything you need to know about this course before you register.

By the end of the Econometrics Techniques programme, you'll be able to understand core econometrics techniques principles and how they fit together in practice, apply practical techniques for time series econometrics in day-to-day implementation, strengthen evaluation, reporting and quality-assurance capability, and improve decision-making using evidence-driven performance information. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Live Online Econometrics Techniques Training Course? Chat with an advisor·Visit the full FAQ

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What Our Clients Say

VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.

Levis Wabwire

Levis Wabwire

Managing Director

They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

David Oketch

David Oketch

Strategy Lead

Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

Wendy Albright

Wendy Albright

Program Manager

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