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