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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 enhance their analytical skills. Dive into key economic indicators such as consumer spending, employment rates, and GDP growth. Master statistical analysis, including descriptive and inferential statistics, and hypothesis testing. Learn data visualisation techniques to effectively interpret trends and communicate findings. Gain hands-on experience with R, Python, and Excel, ensuring you're equipped to handle and prepare data with precision.
- Analyse economic indicators: Master consumer trends, employment, and GDP growth.
- Conduct statistical analysis: Utilise descriptive and inferential statistics effectively.
- Visualise data insights: Create impactful charts and interpret trends with precision.
- Interpret economic data: Draw meaningful conclusions and communicate findings clearly.
- Utilise data tools: Gain proficiency in R, Python, and Excel for data analysis.

4 to 360 hours flexible workload
certificate recognised by MEC
What will I learn?
Unlock the power of economic data with our Economic Data Analyst Course, designed for Economics professionals seeking to enhance their analytical skills. Dive into key economic indicators such as consumer spending, employment rates, and GDP growth. Master statistical analysis, including descriptive and inferential statistics, and hypothesis testing. Learn data visualisation techniques to effectively interpret trends and communicate findings. Gain hands-on experience with R, Python, and Excel, ensuring you're equipped to handle and prepare data with precision.
Elevify advantages
Develop skills
- Analyse economic indicators: Master consumer trends, employment, and GDP growth.
- Conduct statistical analysis: Utilise descriptive and inferential statistics effectively.
- Visualise data insights: Create impactful charts and interpret trends with precision.
- Interpret economic data: Draw meaningful conclusions and communicate findings clearly.
- Utilise data tools: Gain proficiency in R, Python, and Excel for data analysis.
Suggested summary
Before starting, you can change the chapters and the 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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