Economist Statistician Course
Master the quantitative tools that economists and statisticians use to measure, model, and interpret economic reality. This course takes you from foundational statistical reasoning to advanced econometrics, time-series analysis, and causal inference. Whether you work in government, research, or finance, you will graduate with the technical depth to produce credible, decision-ready analysis.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
You will build a complete skill set spanning probability theory, statistical inference, regression analysis, and time-series modeling. The course covers survey design, national accounts construction, and price index methodology alongside microeconometric techniques such as logit, probit, Tobit, and panel data models. You will also learn to apply machine learning methods to economic prediction and causal questions. Practical modules in R and Python ensure you can implement every method on real data. By the end, you will be equipped to design research studies, evaluate policy interventions, and communicate findings clearly to both technical and non-technical audiences.
Elevify advantages
Develop skills
- Econometric Modeling: Apply OLS, IV, panel data, and discrete choice models to real economic datasets.
- Statistical Inference: Construct hypothesis tests and confidence intervals for rigorous economic research.
- Time-Series Forecasting: Estimate ARIMA, VAR, and GARCH models to forecast macroeconomic and financial variables.
- Policy Impact Analysis: Design causal inference studies using difference-in-differences and regression discontinuity methods.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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