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Economic Data Analyst Course
Unlock the power of economic data with our Economic Data Analyst Course, designed for Economics professionals looking to boost their analytical skills. Dive into key economic indicators like consumer spending, employment rates, and GDP growth. Master statistical analysis, including descriptive and inferential statistics, and hypothesis testing. Learn data visualization techniques to effectively interpret trends and communicate findings. Get hands-on experience with R, Python, and Excel, ensuring you're equipped to handle and prepare data accurately.
- Analyze economic indicators: Master consumer trends, employment, and GDP growth.
- Conduct statistical analysis: Utilize descriptive and inferential statistics effectively.
- Visualize data insights: Create impactful charts and interpret trends with precision.
- Interpret economic data: Draw meaningful conclusions and communicate findings clearly.
- Utilize data tools: Become proficient in R, Python, and Excel for data analysis.

flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Unlock the power of economic data with our Economic Data Analyst Course, designed for Economics professionals looking to boost their analytical skills. Dive into key economic indicators like consumer spending, employment rates, and GDP growth. Master statistical analysis, including descriptive and inferential statistics, and hypothesis testing. Learn data visualization techniques to effectively interpret trends and communicate findings. Get hands-on experience with R, Python, and Excel, ensuring you're equipped to handle and prepare data accurately.
Elevify advantages
Develop skills
- Analyze economic indicators: Master consumer trends, employment, and GDP growth.
- Conduct statistical analysis: Utilize descriptive and inferential statistics effectively.
- Visualize data insights: Create impactful charts and interpret trends with precision.
- Interpret economic data: Draw meaningful conclusions and communicate findings clearly.
- Utilize data tools: Become proficient in R, Python, and Excel for data analysis.
Suggested summary
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