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Economic Data Analyst Course
Unlock the power of economic data with our Economic Data Analyst Course, designed for Economics professionals seeking to improve their analytical skills. Dig deep into key economic indicators like consumer spending, employment figures, and GDP growth. Master statistical analysis, including descriptive and inferential statistics, as well as hypothesis testing. Learn data visualisation techniques to effectively understand trends and share your results. Get practical experience with R, Python, and Excel, ensuring you're well-prepared to manage and get data ready with accuracy.
- Analyse economic indicators: Master consumer trends, employment, and GDP growth.
- Carry out statistical analysis: Use descriptive and inferential statistics effectively.
- Visualise data insights: Develop impactful charts and understand trends with accuracy.
- Interpret economic data: Draw important conclusions and share your results clearly.
- Use data tools: Become skilled in R, Python, and Excel for data analysis.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of economic data with our Economic Data Analyst Course, designed for Economics professionals seeking to improve their analytical skills. Dig deep into key economic indicators like consumer spending, employment figures, and GDP growth. Master statistical analysis, including descriptive and inferential statistics, as well as hypothesis testing. Learn data visualisation techniques to effectively understand trends and share your results. Get practical experience with R, Python, and Excel, ensuring you're well-prepared to manage and get data ready with accuracy.
Elevify advantages
Develop skills
- Analyse economic indicators: Master consumer trends, employment, and GDP growth.
- Carry out statistical analysis: Use descriptive and inferential statistics effectively.
- Visualise data insights: Develop impactful charts and understand trends with accuracy.
- Interpret economic data: Draw important conclusions and share your results clearly.
- Use data tools: Become skilled in R, Python, and Excel for data analysis.
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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