Live Online Data and Analytics for Applied Economics & Policy Analysis Training Course
Live online, instructor-led · next cohort Nov 16, 2026 · from USD 800
Policy choices on subsidies, taxes, social protection and public investment are only as good as the evidence behind them, and ministries and think tanks increasingly expect economists to produce that evidence quickly from messy real-world data. Over five days you work through the full analytical workflow in Stata, R or Python: sourcing data from household surveys such as LSMS and DHS, national accounts and the World Development Indicators, then cleaning, merging and reshaping it for analysis. You measure poverty and inequality with headcount, poverty gap and Gini measures and build clear descriptive charts.
Econometric sessions cover OLS, panel data with fixed and random effects, instrumental variables and diagnostic testing, followed by impact evaluation methods including difference-in-differences, regression discontinuity and propensity score matching. The final day covers forecasting, cost-benefit analysis and writing policy briefs that present uncertainty honestly. Economists and analysts in finance and planning ministries, central banks, revenue authorities, statistics offices, think tanks, research institutes and development agencies will benefit. Afterwards you can frame a policy question, choose a credible method and defend your findings to non-technical decision-makers. Classroom, online and in-house delivery are available, and a CPD-accredited certificate is awarded.
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 (5 Days)
- Fee
- USD 800 (KES 80,000)
- Next start dates
- Nov 16, 2026, Dec 14, 2026, Jan 11, 2027
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
Governments and development partners face growing pressure to show that policies are grounded in evidence, from the design of cash transfer programmes to the case for a new road or tax change. Analysts are expected to work with large survey and administrative data sets, apply credible methods for estimating cause and effect, and communicate their results to people who will never read a regression table.
The Data and Analytics for Applied Economics & Policy Analysis Training Course takes participants through that process over five days. It begins with economic data sources, data structures and reproducible cleaning workflows, then moves to descriptive analysis, poverty and distributional measurement. The middle of the week is devoted to regression analysis and the methods economists use to estimate the impact of programmes and policies when randomised trials are not available. The final day brings in forecasting, appraisal of public investments and the craft of turning technical findings into short, persuasive policy outputs.
Every session is computer-based. Participants work in Stata or R on real public data sets, follow guided scripts they can reuse, and complete a short applied policy analysis that combines estimation, interpretation and a written brief.
Training Objectives
Participants completing the five days will be able to:
- Locate, import and combine economic data from surveys, administrative records and international databases.
- Clean and document data sets using reproducible scripts in Stata or R.
- Measure poverty, inequality and distributional change using standard indicators.
- Estimate and interpret OLS and panel regression models for policy questions.
- Apply difference-in-differences, regression discontinuity and matching methods to evaluate impact.
- Produce simple forecasts and a cost-benefit analysis for a public investment.
- Communicate findings and uncertainty in policy briefs and charts for decision-makers.
What you'll learn
Key Takeaways
At the end of the week participants hold:
- A reusable data cleaning and analysis script library in Stata or R.
- A worked poverty and inequality profile from household survey data.
- Annotated regression and impact evaluation outputs with interpretation notes.
- A cost-benefit analysis template for public investment appraisal.
- A two-page policy brief based on their own analysis.
Training Methodology
Teaching is computer-based and applied, featuring:
- Guided Stata and R scripts that participants run and adapt
- Real public data sets from household surveys and international databases
- Short method briefings followed immediately by lab exercises
- Peer review of interpretation and policy recommendations
- A capstone policy analysis presented on the final day
Day 1: Economic Data Sources and Preparation
- Survey, administrative and macroeconomic data sources
- Working with LSMS, DHS and World Development Indicators data
- Importing, merging and reshaping data sets
- Reproducible workflows: scripts, logs and documentation
- Handling missing values, outliers and survey weights
- Lab: building an analysis-ready data set
Day 2: Descriptive Analysis, Poverty and Inequality
- Weighted summary statistics and cross-tabulations
- Poverty lines, headcount, poverty gap and severity measures
- Inequality measures: the Gini coefficient and quantile ratios
- Effective charts for economic data
- Profiling vulnerable groups for targeting
- Lab: a poverty profile from household data
Day 3: Regression Analysis for Policy Questions
- OLS estimation and interpretation
- Functional form, dummy variables and interactions
- Heteroskedasticity, multicollinearity and robust standard errors
- Panel data: fixed and random effects
- Instrumental variables and endogeneity
- Lab: estimating determinants of household consumption
Day 4: Impact Evaluation and Causal Inference
- The counterfactual problem and selection bias
- Randomised evaluations and their practical limits
- Difference-in-differences and parallel trends
- Regression discontinuity designs
- Propensity score matching
- Lab: evaluating a cash transfer programme
Day 5: Forecasting, Appraisal and Policy Communication
- Simple time series forecasting for policy planning
- Cost-benefit analysis: discounting, NPV and sensitivity tests
- Presenting uncertainty honestly
- Writing policy briefs and executive summaries
- Presenting results to decision-makers
- Policy analysis presentations and course review
The course is aimed at analysts who supply evidence for economic and social policy, notably:
- Economists in ministries of finance, planning and trade
- Policy analysts in central banks and revenue authorities
- Statisticians in national statistics offices
- Researchers in think tanks, universities and policy institutes
- Monitoring and evaluation specialists working on impact studies
- Economists and programme officers in development agencies
- Parliamentary budget office analysts
Participants receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy once they have attended the sessions and submitted the lab exercises and final policy analysis.
Choose Where You Want to Learn
Data and Analytics for Applied Economics & Policy Analysis Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$1,500- KenyaMombasaNext Oct 26· 13 dates$1,600
- KenyaNaivashaNext Nov 2· 13 dates$1,500
- KenyaKisumuNext Oct 26· 13 dates$1,500
- KenyaMachakosNext Nov 2· 13 dates$1,600
UgandaKampalaNext Nov 2· 13 dates$1,900
RwandaKigaliNext Oct 26· 13 dates$1,900
TanzaniaArushaNext Nov 9· 13 dates$1,900- TanzaniaDodomaNext Oct 26· 13 dates$1,800
- TanzaniaDar es SalaamNext Oct 26· 13 dates$2,000
- TanzaniaZanzibarNext Nov 16· 13 dates$2,600
NigeriaLagosNext Nov 16· 13 dates$2,800- NigeriaAbujaNext Nov 9· 13 dates$2,800
South AfricaPretoriaNext Nov 2· 13 dates$3,200- South AfricaJohannesburgNext Nov 2· 13 dates$3,400
- South AfricaCape TownNext Oct 26· 13 dates$3,800
UAEDubaiNext Oct 26· 13 dates$3,800
GhanaAccraNext Nov 16· 13 dates$4,500
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Data and Analytics for Applied Economics & Policy Analysis Training Course
Everything you need to know about this course before you register.
By the end of the Data and Analytics for Applied Economics & Policy Analysis programme, you'll be able to locate, import and combine economic data from surveys, administrative records and international databases, clean and document data sets using reproducible scripts in stata or r, measure poverty, inequality and distributional change using standard indicators, and estimate and interpret ols and panel regression models for policy questions. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is aimed at analysts who supply evidence for economic and social policy, notably: Economists in ministries of finance, planning and trade, Policy analysts in central banks and revenue authorities, Statisticians in national statistics offices, Researchers in think tanks, universities and policy institutes, Monitoring and evaluation specialists working on impact studies, Economists and programme officers in development agencies, and Parliamentary budget office analysts.
Data and Analytics for Applied Economics & Policy Analysis Training Course typically runs as 5 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Data and Analytics for Applied Economics & Policy Analysis Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Data and Analytics for Applied Economics & Policy Analysis starts November 16, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Data and Analytics for Applied Economics & Policy Analysis Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for Applied Economics & Policy Analysis Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data and Analytics for Applied Economics & Policy Analysis Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data and Analytics for Applied Economics & Policy Analysis Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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