Privacy Preserving Health Insurance Cross-sell Prediction
A project proposed by Accenture Labs France.
Data Science and Engineering2021–2022 · Archive edition
Applied Data
Science Project.
From AI concepts to
real-world solutions.
Learn to design, develop, manage and communicate an AI project through hands-on collaboration.
The project mindset
01
DesignPeople & purpose
02
DevelopData & models
YourAI project
03
ManageTeams & milestones
04
CommunicateResults & impact
A real problem. Your team. An AI solution.
- Course code
- 01TXXSM
- Teaching language
- English
- When
- 1st semester · Year 2
This is the 2021–2022 course archive.Go to the current edition
The courseLearn by building
Learn by building
something that matters.
The course is offered in the first semester of the 2nd year at Politecnico di Torino, Data Science and Engineering. The course is in English.
The course covers the main pillars of executing a successful data science project ranging from the computational and management aspects to the communication one. The goal of this course is to let students face, for the first time, a long-running project and learn how to manage all project steps (problem specification, task assignment, design and implementation of the solution, testing, milestones management, writing of intermediate and final reports, result communication). Laboratory activities will give students first-hand experience in projects that make extensive use of data science methodologies in collaboration with companies and applied research institutes with an international breadth.
The learning path
Four pillars. One project.
Build the skills to take an idea
all the way to a working solution.
01
Design
Start with people.Understand the need, map stakeholders and turn user research into clear requirements.
Explore lectures02
Develop
Build with data.Explore models, work with data and build an AI solution you can evaluate and improve.
Explore lectures03
Manage
Make progress together.Organise the team, break down the work and follow tasks, milestones and results.
Explore lectures04
Communicate
Give your work a voice.Explain the choices, demonstrate the results and communicate the value of your project.
Explore lecturesExplore & apply
Your course toolkit.
Concepts, methods and practical tools
for your data science project
Lectures & project tools18 topics
-
01
Introduction
-
02
Model- and data-centric projects
-
03
Foundation models
-
04
Sustainable Development Goals and data science examples
-
05
Data science project pillars
-
06
10 practical tips
-
07
Persona canvas and functional diagrams
-
08
Agile software development
-
09
Scrum
-
10
Project management tools
-
11
Program development
-
12
Version control
-
13
Internal team communication
-
14
Presentations
-
15
Technical papers
-
16
Deliverables
-
17
Success stories
-
18
Project proposals
Topic only
Try another topic.
Adjust your search or choose another pillar.
Made by ADSP students
Ideas put to work.
Explore projects from 2021–2022.
See how the course comes together.
Job Skill Recommendation
A project proposed by INDA.
Before you begin
Come prepared. Stay curious.
The background knowledge and reading
to support your project.
Useful foundations.
- Statistics
- Data mining
- Machine learning and deep learning
- Python language
- Relational, NoSQL, graph databases
Course 01TXXSM · 2nd year
Data Science and Engineering
Keep learning.
Use the lecture slides and examples above to revisit the concepts and practise the tools.
Teaching materials are available through this website and the teaching portal.
How the course works
The course includes practices on the lecture topics, laboratory sessions for the execution of the projects, and meetups with the company key resources (project managers and project leaders) to successfully execute the assigned projects.
Learn together
Your teaching team.
The people supporting
the 2021–2022 edition.
Giuseppe Rizzo
Course lead
Marco Torchiano
Professor
Alberto Benincasa
Teaching assistant
Luca Colomba
Teaching assistant
Salvatore Greco
Teaching assistant