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Quantitative Methods Course
Improve your skills with our Quantitative Methods Course, designed for Economics professionals in Namibia aiming to become experts in making decisions based on data. Explore quantitative analysis methods such as time series and regression analysis, and improve your abilities in hypothesis testing. Learn to understand and report findings clearly, using advanced statistical tools in R, Python, and Excel. Gain an understanding of economic indicators relevant to Namibia, such as GDP, unemployment, and inflation, and assess the effects of policies with Namibian case studies. Strengthen your data management skills with visualisation and cleaning techniques, ensuring trustworthy results.
- Become proficient in time series and regression for economic forecasting relevant to the Namibian economy.
- Perform hypothesis testing to confirm economic theories, focusing on Namibian examples.
- Present data effectively using advanced visualisation tools suitable for communicating with Namibian stakeholders.
- Use R, Python, and Excel for strong data analysis within the Namibian economic environment.
- Analyse GDP, unemployment, and inflation for policy insights specific to Namibia.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your skills with our Quantitative Methods Course, designed for Economics professionals in Namibia aiming to become experts in making decisions based on data. Explore quantitative analysis methods such as time series and regression analysis, and improve your abilities in hypothesis testing. Learn to understand and report findings clearly, using advanced statistical tools in R, Python, and Excel. Gain an understanding of economic indicators relevant to Namibia, such as GDP, unemployment, and inflation, and assess the effects of policies with Namibian case studies. Strengthen your data management skills with visualisation and cleaning techniques, ensuring trustworthy results.
Elevify advantages
Develop skills
- Become proficient in time series and regression for economic forecasting relevant to the Namibian economy.
- Perform hypothesis testing to confirm economic theories, focusing on Namibian examples.
- Present data effectively using advanced visualisation tools suitable for communicating with Namibian stakeholders.
- Use R, Python, and Excel for strong data analysis within the Namibian economic environment.
- Analyse GDP, unemployment, and inflation for policy insights specific to Namibia.
Suggested summary
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