
Roberta Deluca
Data Scientist
BIG DIVE 2020 – Module 1 “From Zero to Data Science with Python”
5-day full-time course completed by Roberta Deluca 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 Roberta Deluca 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 4 “Deep Dive into Data Engineering”
5-day full-time course completed by Roberta Deluca 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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