Data, Quantitative Methods and Digital Technologies
We design professional training programs for companies and institutions focused on the key skills of the data-driven economy: data analysis with Python, quantitative models, machine learning applied to decision-making processes, and blockchain & digital assets.
Who it is for
Corporate training is designed for organizations that want to build concrete skills in data analysis, quantitative finance, applied AI and digital innovation.
Banks and Asset Managers
Programs focused on quantitative analysis, portfolio construction, decision-making processes and financial innovation.
Insurance Companies and Risk Teams
Training on data, models, risk measurement and applied analytical tools.
Innovation, Strategy and IT Functions
Targeted programs to integrate Python, databases, AI and emerging technologies into business workflows.
Our approach
Training programs are built around the corporate context, the technical level of participants and the most relevant use cases for the business.
Customizable programs
Content, technical depth and practical focus tailored to different industries and business objectives.
Hands-on teaching
Live sessions, real-world cases, practical exercises and applications built around professional scenarios.
Italian and English
Corporate training can be delivered both in Italian and in English, on-site or remotely.
Training areas
Corporate programs cover a set of capabilities that combines data analysis, programming, quantitative finance and emerging technologies, always with a practical and business-oriented approach.
Python & Data Analysis
Data manipulation, visualization, automation and the development of analytical workflows.
Quantitative Finance
Portfolios, asset allocation, risk metrics, backtesting and quantitative modeling.
Machine Learning & Digital Innovation
Predictive models, decision-support use cases, blockchain, digital assets and new financial infrastructures.
Available programs
Each program can be delivered on-site or remotely, in Italian or English, and adapted to the technical level of participants and the needs of the organization.
Python Fundamentals for Data Manipulation
An introductory course designed to build the operational foundations of business data analysis with Python.
What it includes
- 7 hours of live training
- Python and procedural programming
- NumPy & Pandas for data analysis
- Matplotlib & Seaborn for visualization
- Real-world finance case studies
- PDF handbook + certificate
Advanced Python for Data Manipulation
A program dedicated to code structure, scalability and the development of professional workflows.
What it includes
- 7 hours of live training
- Object-oriented Python
- Advanced NumPy & Pandas
- Matplotlib, Seaborn & Plotly
- Real-world financial applications
- PDF handbook + certificate
Python, SQL and Database Management
A program designed for working with structured data, queries and application integration.
What it includes
- 7 hours of live training
- Python & SQL integration
- Database access from Python
- Analysis and transformation of structured data
- Real-world case studies on business datasets
- PDF handbook + certificate
Quantitative Asset Management with Python
From theory to practical implementation of asset allocation models and portfolio analysis.
What it includes
- 7 hours of live training
- Foundations of quantitative asset allocation
- Portfolio construction (EW, Risk-Based, Factor)
- Performance and risk analysis
- Backtesting and simulations with Python
- PDF handbook + certificate
Blockchain and Digital Assets
A program to understand the technology, markets and strategic implications of new digital infrastructures.
What it includes
- 7 hours of live training
- Foundations of blockchain and distributed ledger technology
- Tokens, cryptocurrencies and stablecoins
- Decentralized finance (DeFi)
- Real-world asset tokenization
- Impact on banks, asset managers and institutional investors
Introductory Machine Learning for Finance
An introduction to predictive models applied to financial data and the first quantitative use cases.
What it includes
- 7 hours of live training
- Regression, classification and ranking
- Preparation of financial data
- Introductory feature engineering
- Basic supervised models
- Performance evaluation and metrics
Advanced Machine Learning for Finance
An advanced program on models, time-aware validation and applications to trading, asset allocation and risk management.
What it includes
- 7 hours of live training
- Advanced feature engineering on financial data
- Managing overfitting and data leakage
- Cross-validation, walk-forward and time-aware validation
- Ranking and scoring models
- Real-world quantitative applications
What you gain
Training tailored to the corporate context
- Customizable programs by industry, function and seniority
- Up-to-date content and relevant use cases
- A balanced mix of theory, practice and strategic perspective
- Training materials and final certificate
Operational impact
- Immediately applicable skills
- Greater autonomy in using data and models
- Integration with workflows and decision-making processes
- A concrete, professional and business-oriented approach
Would you like to design a tailored corporate training program?
We can help you build a training program aligned with the profile of participants, your industry and your organization’s objectives.
