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Principles of Data Science

Unit 1: Fundamental principles of data science: Foundation of data science, concepts on machine learning, Data Science Thinking, Data science Techniques, data openness and big data.

Unit 2: Databases: Database management systems, and core data mining techniques (association, Classification, Clustering, Prediction, Sequential patterns, Decision trees,...); Data acquisition, cleaning, pre-processing, and storage using various databases; Data pipeline

Unit 3: Exploratory data analysis: Concepts in data exploration and visualization (relationships and causality, reliability and validity, relationships between interval, interval and categorical data with correlation analysis ...) and basic visualization techniques; Exploratory data analysis to understand and profile complex data sets; Visual analytics, statistical models, causal inference.

Unit 4: Introduction to Machine Learning: Basics of machine learning; Overview of machine learning techniques (Supervised and unsupervised),