Paolo Astrua
Non profit specialist @ Be Honest
BIG DIVE 2020 – Module 1 “From Zero to Data Science with Python”
5-day full-time course completed by Paolo Astrua on September 18th, 2020.
Core topics by TOP-IX:
- Programming with Python (data structures, control flow, functions, …)
- Setting up and usage of Jupyter Notebooks for data projects
- Key statistics concepts with NumPy
- Handling different data formats with pandas
- Using Matplotlib and Seaborn for data visualizations
- Basic Machine Learning with Scikit Learn
- Fundamental steps to create your data science project and maximize its impact
Guest lectures:
- GIS and Geopandas by FBK
- Timeseries and KNIME by Target Research
BIG DIVE 2020 – Module 2 “Machine and Deep Learning intensive”
5-day full-time course completed by Paolo Astrua on October 16th, 2020.
Core topics by ISI:
- Machine Learning algorithms with Sklearn
- Statistical Learning Theory with practical exercises
- Neural Networks and Backpropagation
- Building from scratch and training neural networks with TensorFlow and Keras
- Brief history of Deep Learning, with focus on Computer Vision
- Building from scratch and training deep convolutional NNs with TensorFlow and Keras
- Transfer Learning: feature extraction and fine-tuning
Guest lectures:
- Machine Learning Explainability by Nexi
- Training Deep Learning Models and HPC4AI by Unito
- Machine Learning in forecasting by Glovo
BIG DIVE 2020 – Module 3 “Communicating and Visualizing Data”
5-day full-time course completed by Paolo Astrua on November 20th, 2020.
Core topics by TODO:
- Foundations and best practices of information theory and data communication applied to a data project.
- Understanding the different Data Visualization approaches
- Coding for DataViz with D3.js programming paradigm
- Introduction to Vega Framework
- Prototyping effective data visualizations following the design process and best practices of data visualization theory
Guest lectures:
- Data Communication by TOP-IX
- Open Data and DataViz by Sheldon Studio
- Visualizing Data and case studies by Accurat
BIG DIVE 2020 – Module 4 “Deep Dive into Data Engineering”
5-day full-time course completed by Paolo Astrua on December 4th, 2020.
Core topics by Corley:
- Intro to Kinesis DataStream and real-time data services with AWS
- Data stream persistence with Kinesis Firehose
- Handle a Data Lake on AWS in Serverless mode
- Data Lake queries with AWS Athena
- Athena in depth: formats for Big Data (Parquet)
- Data Transformation with AWS Glue
- Serverless Data Transformation: Fargate and Step Functions
- Data Lake Virtualization with AWS QuickSite
- Hands-on lab with scripts and via AWS Web Console
Guest lectures:
- Big Data on AWS by Storm Reply
- Open Source and Data Virtualization by HPE CDS
- Big Data: let’s Spark! by Value Partners Digital Technology
- Scale your data architecture by Storm Reply
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