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Ingegneria Informatica (Ακαδημαϊκό έτος 2019/2020) - Big Data

Introduction to Big Data

ν. μαθήματος 1: Introduction to Big Data What is Big Data? How does it look like? The Data life-cycle		Flavio Venturini
ν. μαθήματος 2: Data Governance & DFM Principles What is Data Governance? Data Governance principles Information systems modelling concepts Dimensional Fact Modelling		Flavio Venturini
ν. μαθήματος 3: Introduction to Hadoop Intro to MapReduce HDFS architecture Accessing HDFS		Flavio Venturini
ν. μαθήματος 4: MapReduce & YARN MapReduce continued YARN MapReduce at work		Flavio Venturini
ν. μαθήματος 5: NoSQL Databases NoSQL foundations Key-Value concepts Key-Value architecture		Flavio Venturini
ν. μαθήματος 6: Introduction to Machine Learning - First part Machine Learning types Supervised learning Unsupervised Learning: Principal Components Analysis		Flavio Venturini
ν. μαθήματος 7: Introduction to Machine Learning - Second part Clustering concepts K-means clustering Hierarchical clustering		Flavio Venturini
ν. μαθήματος 8: R Programming «Getting Started» R Ecosystem Hello World! First Steps		Paolo Barboni
ν. μαθήματος 9: R Programming «Overview» Writing and Reading Data Random Distributions and Sampling Control Structures and Functions Debugging and Profiling		Paolo Barboni
ν. μαθήματος 10: Data Manipulation with R Reading Data Manipulating Data Transforming Data		Paolo Barboni
ν. μαθήματος 11: Data Exploration with R R Graphic Systems Data Explorations Best Practices Advanced R Graphics		Paolo Barboni
ν. μαθήματος 12: Machine Learning With R - Theory Machine Learning Process Conceptual Issues R packages for ML		Paolo Barboni
ν. μαθήματος 13: Machine Learning With R - Practice Data Understanding and Preparation Model Training and Evaluation Advanced Topics		Paolo Barboni
ν. μαθήματος 14: Social Analytics - Part one Introduction Key elements of Social media Analysis		Alfredo Vinella
ν. μαθήματος 15: Social Analytics - Part two Introduction Metrics Methodology Tools		Alfredo Vinella
ν. μαθήματος 16: Marketing Analytics - First part Introduction The digital customer journey Measures		Alfredo Vinella
ν. μαθήματος 17: Marketing Analytics - Second part Context Metrics Benchmarks Deploying analytics		Alfredo Vinella
ν. μαθήματος 18: Biomedical Analytics Growth of biomedical data Bioinformatics Biomedical data mining Real case studies		Emanuel Weitschek
ν. μαθήματος 19: Introduction to Data Visualization Data Viz vs Infographics Data Viz components Data Viz design principles		Flavio Venturini