Interactive Data Science

Objective

The objective of this course is to introduce interactive data science, focusing on programming tools to develop datadriven interactive systems and dashboard applications. Participants will learn the human-centered aspects of data science, including interactive data visualization, analysis, and the art of storytelling with data. This course features weekly hands-on programming tutorials using tools such as Streamlit, Plotly Dash, and Shiny for implementing case studies.

Syllabus

Introduction to the data science pipeline, data collection, data wrangling, and manipulation, exploratory data analysis, visualization methods and tools, univariate and multivariate data visualization, interactivity in visualization, feature extraction, dimensionality reduction, principal component analysis, discriminant analysis, regression, and classification algorithms such as linear and logistic regression, decision tree, and Naïve Bayes classifier, data clustering with k-means, interpretation of models and their explain ability, interpretation and presentation of results, storytelling with data and interactive visualizations