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Ingegneria Informatica (Academic Year 2019/2020) - Big Data

Introduction to Big Data



Videolesson

Lesson n. 1: Introduction to Big Data
   What is Big Data?

   How does it look like?

   The Data life-cycle
Go to this lesson Flavio Venturini
Lesson n. 2: Data Governance & DFM Principles
   What is Data Governance?

   Data Governance principles

   Information systems modelling concepts

   Dimensional Fact Modelling
Go to this lesson Flavio Venturini
Lesson n. 3: Introduction to Hadoop
   Intro to MapReduce

   HDFS architecture

   Accessing HDFS
Go to this lesson Flavio Venturini
Lesson n. 4: MapReduce & YARN
   MapReduce continued

   YARN

   MapReduce at work
Go to this lesson Flavio Venturini
Lesson n. 5: NoSQL Databases
   NoSQL foundations

   Key-Value concepts

   Key-Value architecture
Go to this lesson Flavio Venturini
Lesson n. 6: Introduction to Machine Learning - First part
   Machine Learning types

   Supervised learning

   Unsupervised Learning: Principal Components Analysis
Go to this lesson Flavio Venturini
Lesson n. 7: Introduction to Machine Learning - Second part
   Clustering concepts

   K-means clustering

   Hierarchical clustering
Go to this lesson Flavio Venturini
Lesson n. 8: R Programming «Getting Started»
   R Ecosystem

   Hello World!

   First Steps
Go to this lesson Paolo Barboni
Lesson n. 9: R Programming «Overview»
   Writing and Reading Data

   Random Distributions and Sampling

   Control Structures and Functions

   Debugging and Profiling
Go to this lesson Paolo Barboni
Lesson n. 10: Data Manipulation with R
   Reading Data

   Manipulating Data

   Transforming Data
Go to this lesson Paolo Barboni
Lesson n. 11: Data Exploration with R
   R Graphic Systems

   Data Explorations Best Practices

   Advanced R Graphics
Go to this lesson Paolo Barboni
Lesson n. 12: Machine Learning With R - Theory
   Machine Learning Process

   Conceptual Issues

   R packages for ML
Go to this lesson Paolo Barboni
Lesson n. 13: Machine Learning With R - Practice
   Data Understanding and Preparation

   Model Training and Evaluation

   Advanced Topics
Go to this lesson Paolo Barboni
Lesson n. 14: Social Analytics - Part one
   Introduction

   Key elements of Social media

   Analysis
Go to this lesson Alfredo Vinella
Lesson n. 15: Social Analytics - Part two
   Introduction

   Metrics

   Methodology

   Tools
Go to this lesson Alfredo Vinella
Lesson n. 16: Marketing Analytics - First part
   Introduction

   The digital customer journey

   Measures
Go to this lesson Alfredo Vinella
Lesson n. 17: Marketing Analytics - Second part
   Context

   Metrics

   Benchmarks

   Deploying analytics
Go to this lesson Alfredo Vinella
Lesson n. 18: Biomedical Analytics
   Growth of biomedical data

   Bioinformatics

   Biomedical data mining

   Real case studies
Go to this lesson Emanuel Weitschek
Lesson n. 19: Introduction to Data Visualization
   Data Viz vs Infographics

   Data Viz components

   Data Viz design principles
Go to this lesson Flavio Venturini