First Steps Towards a New Era: Macroeconomic Modelling with Free Software!

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In today's dynamic world, central banks, universities, and research institutions expend colossal resources annually on costly software licenses. The open-source revolution, spearheaded by software like Python, Julia, and R, offers not just cost savings but paves the way for enhanced policy analysis, forecasting, and essential research in central banking.

 

Our Legacy and Vision:
For years, The Better Policy Project has been a paragon in the realm of economic education. Our courses in economics, data science, and macro-modelling have been globally recognized. The diversity of our alumni, representing countless countries, speaks volumes about our reach and impact.

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Why is the Better Policy Project Unparalleled?

• Global Pedigree: Training delivered across continents, adapted to varied economic landscapes.

• Industry-Relevant Curriculum: Always evolving, always relevant. Designed by experts, for the future leaders.

• Distinguished Faculty: Learn from a blend of young professionals and industry veterans who bring years of practical insights into the classroom.

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Why R? And Why Now?

• Precision Tool: R has been the go-to for statisticians and data miners. Its power in statistical modeling and graphics is renowned.

• Extensive Libraries: With a rich ecosystem of packages tailored for a wide range of statistical techniques, R offers tools for every need.

• Community-Driven: R's growing community ensures constant updates, new packages, and a wealth of shared knowledge.

• Tailored for Economists: R's capabilities resonate particularly well with the needs of economists, making data manipulation, analysis, and visualization more intuitive than ever.

 

Exclusive Course Offering:
This 5-day intensive online course isn't just about Python; it's about harnessing Python's power for economic modeling. While there are countless Python courses, ours is tailored for economistss. Our promise? By the end, you'll possess a formidable framework for database management, visualization, and reporting.

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Course Highlights:

• Customized Learning: Specifically crafted for economists.

• Actionable Insights: Move from theory to real-world applications and results.

• Global Accessibility: An online format ensures no boundaries to knowledge.

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Course Structure:

Day 1: Introduction to R

• Introduction to R and RStudio

• Basics of Data Manipulation

• Data Aggregation and Summarization

Day 2: Data Visualization and Exploration

• Data Visualization with ggplot2

• Advanced Visualization Techniques

• Exploratory Data Analysis (EDA)

Day 3: Statistical Modelling for Economists

• Regression Analysis

• Time Series Analysis

• Econometric Models in R

Day 4: Advanced Data Techniques and Reporting

• Working with Larger Datasets

• R Markdown for Reporting

• Shiny for Interactive Web Apps

Day 5: Machine Learning for Economic Analysis

• Introduction to Machine Learning in R

• Regression and Classification Models

• Clustering and Dimensionality Reduction

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​Dates:

📆 Course Date: November 11 - 14, 2024

⏰ Times: TBD

⏳ Application Deadline: November 4, 2024