Welcome to my repository for the course ECON 607: Data Science for Economists! This space contains all the coursework I completed during this transformative class, including assignments and projects that reflect the skills and techniques taught in the course.
ECON 607 explores the techniques and coding skills required to compile, manage, manipulate, and describe economic data. Topics covered include:
- Data compilation and management
- Data manipulation
- Data visualization
- Text analysis
- Unsupervised learning techniques
- Introduction to numerical analysis
The course placed a strong emphasis on practical skills using tools such as:
- Python
- R
- SQL
- PowerBI
- Matlab
Through hands-on assignments and projects, I gained experience in managing and analyzing complex datasets, building visualizations, and applying modern techniques in data science. This knowledge has been invaluable in shaping my future career aspirations.
- Final Grade: 91%
- Tools and Technologies: Python, R, SQL, PowerBI, Matlab
- Topics explored: Data wrangling, visualization, text analysis, unsupervised learning, and numerical techniques
A special thanks to:
- Professor Stephanie Villers
- Professor Derek Stacey
Your guidance and expertise made this course an incredibly valuable experience for me. The skills I learned have had a profound impact on my career trajectory and have inspired me to pursue a deeper understanding of data science in the context of economics.
- Assignments/: Contains all individual assignments completed during the course.
- Projects/: Includes any larger projects or capstone work.
- Resources/: Supplementary materials and notes that were useful throughout the course.
Feel free to explore this repository and see the work I completed during ECON 607. If you have any questions or suggestions, don’t hesitate to reach out!
Thank you for taking the time to visit my repository!