Programa

Data Science and AI for Sustainability

Mestrado Bolonha em Investigação e Inovação para a Sustentabilidade

Programa

1. Introduction to Python, Data Science & AI Tools • Python installation • Python libraries • Anaconda environments: Jupyter Notebook, Spyder • Introduction to Data Science • Overview of AI tools: Large Language Models (LLMs) and Generative AI for coding assistance • Using Al-driven tools like ChatGPT, LLaMA and Claude 2. Programming with Python • Pandas, Numpy, Matplotlib, and Seaborn libraries • Tuples and lists • Conditional and loop structures • Functions 3. Data Importing, Representation, and Visualization • Data types • Importing data in CSV, Excel, and text formats • Graphical data representations 4. Data Cleaning, Transformation, and Integration • Handling missing data • Detecting and correcting outliers • Data errors and duplicates • Data encoding • Data standardization and normalization • Data discretization • Data integration 5. Exploratory Data Analysis • Descriptive statistics • Correlation and association measures between numerical variables • Correlation and association measures between categorical variables 6. Case Studies • Case studies with cross-sectional data • Case studies with time-series data • Group project development and discussion with real data.