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Diploma in Advanced Econometrics with EViews and R

A sneak peek into tools for transforming raw financial data into actionable insights using EViews and R.
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This course introduces learners to advanced econometric methods using EViews and R. Designed for finance and economics professionals, it covers regression analysis, time-series forecasting, and hypothesis testing, with practical exercises to apply the techniques.

Course materials
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Course details
Duration 8 weeks
Video 30+ hours of video content, including practical applications of econometric modeling.
Level Intermediate
Recognized certificate with an option for printed delivery.
12 Months
Accessible on desktops, laptops, tablets, and smartphones for seamless learning anywhere.
Basic info

This course offers a deep dive into econometrics, focusing on its application in economic analysis, policy-making, and finance. Participants will learn how to model and analyze economic data using EViews and R, two of the most powerful tools for econometric analysis. The curriculum includes modules on regression analysis, panel data techniques, time series forecasting, and hypothesis testing, all tailored to real-world economic scenarios.

Each module combines theoretical grounding with hands-on practice, featuring datasets from real-life economic case studies. Participants will gain skills to interpret complex data patterns, make forecasts, and develop actionable insights. The course also includes downloadable code scripts, datasets, and templates for building econometric models.

Designed for economists, data analysts, and students in related fields, this course ensures practical and professional expertise. The instructor-led sessions and community discussions provide an engaging and collaborative learning experience. Upon completion, participants will receive a certificate that validates their advanced econometric skills, enhancing their career prospects in finance, economics, and policy analysis.

Course requirements

EViews and R software installed on a compatible device.

Intended audience

Financial analysts, economists, and graduate students in economics or finance.

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Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed
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