Live Online Digital Transformation in Applied Economics & Policy Analysis Training Course
Live online, instructor-led · next cohort Nov 9, 2026 · from USD 800
Finance ministries, central banks and research units are under pressure to give ministers answers in weeks rather than after the next household survey. New data sources and open-source tools make that possible, but only for analysts who can handle them rigorously. Over five days you modernise your economic analysis workflow. Sessions cover reproducible projects in Python with pandas or in R with the tidyverse, version control with Git, APIs from the World Bank, IMF and national statistics offices, and web-scraped price data.
You then apply econometric and machine learning methods to policy questions: nowcasting GDP and inflation, difference-in-differences and regression discontinuity for impact evaluation, and night-lights and mobile money data as proxies for economic activity. Further sessions cover microsimulation, open data ethics and turning results into interactive dashboards and two-page policy briefs. Economists, policy analysts, statisticians, planning officers, research fellows at think tanks and staff in development partner agencies will find it relevant. Afterwards you can build an automated data pipeline, run a defensible policy analysis and present it clearly to decision-makers. Join in a classroom, online or in-house, with a CPD-accredited certificate.
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 9, 2026, Dec 7, 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
Economic policy analysis is changing. Official statistics are increasingly complemented by administrative records, satellite imagery, mobile phone and payment data and prices collected from the web, while analysis that once lived in a single spreadsheet now runs in scripted, version-controlled code that others can check and rerun. Governments and research institutions that adopt these practices can respond faster and with more credible evidence.
The Digital Transformation in Applied Economics & Policy Analysis Training Course helps working economists make that shift. It starts with a reproducible analytical workflow and modern data acquisition, then covers data cleaning and exploratory analysis, applied econometrics for causal inference, nowcasting and forecasting with high-frequency indicators, simulation of policy options, and communication of findings through dashboards and briefs. Throughout, the emphasis is on judgement: choosing methods that fit the question and the data, and being clear about uncertainty.
Every session includes hands-on coding in Python or R, with Stata equivalents shown where useful. Participants work with real public datasets from African economies and finish the week by producing a short, fully reproducible policy analysis.
Training Objectives
After the course, participants will be able to:
- Organise economic analysis as reproducible, version-controlled projects in Python or R.
- Acquire data programmatically from APIs, open data portals and web sources.
- Clean, merge and explore survey, administrative and high-frequency datasets.
- Estimate policy effects using difference-in-differences, regression discontinuity and instrumental variables.
- Nowcast GDP, inflation or trade using high-frequency and alternative indicators.
- Simulate the distributional effects of tax, subsidy or transfer reforms.
- Communicate results through interactive dashboards and concise policy briefs.
What you'll learn
Key Takeaways
Participants take away:
- A reusable project template with folder structure, scripts and Git history.
- Working code that pulls and updates indicators automatically from public APIs.
- A nowcasting model for a macroeconomic indicator of their choice.
- An impact evaluation script with diagnostics and robustness checks.
- A two-page policy brief and dashboard produced from their own analysis.
- A personal roadmap for moving their unit's work from spreadsheets to code.
Training Methodology
Each day combines concept, code and critique:
- Short methodological briefings followed by guided coding labs
- Real public datasets on African economies, prices and trade
- Paired programming so participants with different coding experience learn from each other
- Clinics on participants' own data and policy questions
- A final reproducible analysis presented and reviewed by peers
Day 1: Reproducible Workflows and Modern Data Acquisition
- From spreadsheets to scripted analysis: why reproducibility matters
- Setting up Python with Jupyter or R with RStudio and Quarto
- Version control with Git and GitHub
- Pulling data from World Bank, IMF and national statistics APIs
- Web scraping prices and administrative data responsibly
- Lab: building an automated indicator pipeline
Day 2: Data Wrangling and Exploratory Economic Analysis
- Cleaning, reshaping and merging datasets with pandas or the tidyverse
- Working with household survey microdata and sampling weights
- Time series handling, seasonal adjustment and frequency conversion
- Exploratory visualisation for economic data
- Data quality checks and documentation
- Lab: exploring a household budget survey
Day 3: Applied Econometrics for Policy Evaluation
- Causal questions and identification strategies
- Panel data and fixed effects regression
- Difference-in-differences and event studies
- Regression discontinuity and instrumental variables
- Robustness checks and reporting uncertainty
- Lab: evaluating a policy change with administrative data
Day 4: Nowcasting, Forecasting and Alternative Data
- High-frequency indicators and mixed-frequency models
- Nowcasting with dynamic factor models and regularised regression
- Machine learning for prediction: random forests and LASSO
- Satellite night-lights, mobile money and payments data as economic proxies
- Microsimulation of tax and transfer reforms
- Lab: nowcasting quarterly GDP
Day 5: Communicating Evidence and Institutionalising Digital Practice
- Interactive dashboards with Streamlit, Shiny or Power BI
- Writing a two-page policy brief
- Data ethics, privacy and open data publishing
- Building analytical capacity and code review in a policy unit
- Presentation of participants' reproducible policy analyses
- Course review and next steps
Analysts who produce evidence for economic and public policy decisions will benefit, in particular:
- Economists in finance and planning ministries and treasuries
- Research and statistics staff at central banks
- Policy analysts in think tanks, universities and research institutes
- Statisticians at national statistics offices
- Economists in development partner agencies and multilateral banks
- Revenue authority and trade ministry analysts
- Monitoring and evaluation specialists working on impact evaluation
- Private sector economists in banks and consultancies
Successful completion, meaning attendance at all sessions and submission of the coding labs and final policy analysis, leads to a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
Choose Where You Want to Learn
Digital Transformation in Applied Economics & Policy Analysis Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$1,500- KenyaMombasaNext Oct 26· 14 dates$1,600
- KenyaNaivashaNext Nov 2· 13 dates$1,500
- KenyaKisumuNext Oct 26· 14 dates$1,500
- KenyaMachakosNext Nov 2· 13 dates$1,600
UgandaKampalaNext Nov 2· 13 dates$1,900
RwandaKigaliNext Oct 26· 14 dates$1,900
TanzaniaArushaNext Nov 9· 13 dates$1,900- TanzaniaDodomaNext Oct 26· 14 dates$1,800
- TanzaniaDar es SalaamNext Oct 26· 14 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· 14 dates$3,800
UAEDubaiNext Oct 26· 14 dates$3,800
GhanaAccraNext Nov 16· 13 dates$4,500
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Digital Transformation in Applied Economics & Policy Analysis Training Course
Everything you need to know about this course before you register.
By the end of the Digital Transformation in Applied Economics & Policy Analysis programme, you'll be able to organise economic analysis as reproducible, version-controlled projects in python or r, acquire data programmatically from apis, open data portals and web sources, clean, merge and explore survey, administrative and high-frequency datasets, and estimate policy effects using difference-in-differences, regression discontinuity and instrumental variables. The full breakdown of topics is covered session by session in the Course Outline tab above.
Analysts who produce evidence for economic and public policy decisions will benefit, in particular: Economists in finance and planning ministries and treasuries, Research and statistics staff at central banks, Policy analysts in think tanks, universities and research institutes, Statisticians at national statistics offices, Economists in development partner agencies and multilateral banks, Revenue authority and trade ministry analysts, Monitoring and evaluation specialists working on impact evaluation, and Private sector economists in banks and consultancies.
Digital Transformation in 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.
Digital Transformation in 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 Digital Transformation in Applied Economics & Policy Analysis starts November 9, 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 Digital Transformation in 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.
Digital Transformation in 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 Digital Transformation in 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 — Digital Transformation in 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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