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 Python? And Why Now?

• Versatility at its Core: From AI to web development, from finance to academia, Python's broad applicability is unmatched.

• Community & Collaboration: Python boasts one of the largest and most active online communities. This means a plethora of libraries, tools, and resources available for free.

• Intuitive Syntax: Often likened to English, Python's syntax ensures a gentle learning curve, making it a favorite for beginners and experts alike.

• Empowerment: Python offers the tools to turn ideas into actionable insights, from data extraction to complex analysis and visualization.

 

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 Python and Data Science

• Introduction to Python

• Basic Python Programming

• Python Libraries Overview for Data Science

Day 2: Data Manipulation and Cleaning with pandas

• Data Import and Basic Manipulations

• Data Cleaning Techniques

• Data Transformation and Aggregation

Day 3: Data Visualization and Descriptive Statistics

• Introduction to Data Visualization with matplotlib and seaborn

• Advanced Visualization Techniques

• Descriptive Statistics for Economists

Day 4: Statistical Analysis and Econometric Modeling

• Linear Regression Basics

• Multiple Regression and Diagnostics

• Time Series Analysis for Economists

Day 5: Advanced Topics and Machine Learning in Economics

• Introduction to Machine Learning

• Machine Learning for Economists: Regression and Classification

• Unsupervised Learning and Conclusion

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Dates:

📆 Course Dates: February 24 - 28, 2025

⏰ Times: TBD

⏳ Application Deadline: February 10, 2025