BIG DIVE reaches its 8th edition!

BIG DIVE is improving every year: learning from past experiences, carefully integrating past alumni feedback and staying always up to date on the latest innovations and topics.
This is the reason why, beyond keep offering great teaching contents and top-class lectures from the most valuable experts, transferable for any discipline, we have also chosen to focus on one of the most crucial topic of our time.

Data from space to Earth

The present challenges, from climate change to sustainability, from fighting poverty to improving the quality of life, raise the importance to monitor our planet Earth from any point of view, including from space with satellite images.
For this reasons we decided to partner with successful companies in the field that already got a glimpse of the potential in using Data Engineering, Network Science, Machine and Deep Learning to leverage the data acquired from instruments and sensors in order to come up with new insights and to improve existing solutions or to create new ones aimed at preserving our planet, being reactive in case of emergencies and optimising resources consumptions.

Furthermore, the above studies have also many industrial applications, such as mobility, real estate and agriculture.

A complete data science program

BIG DIVE 8 will cover:

  • Advanced programming skills
  • Descriptive and Inferential Statistics
  • Data Analysis
  • Machine and Deep Learning
  • Network Science
  • Data Visualisation

Real cases that prepare you to work with data

The highest value is that you learn through hands-on real cases, this means you can get insights from data-driven companies and research institutions on how they managed, analyzed and inferred on their own data and you have the possibility to apply and play with their methodologies asking directly to data scientists, researchers and developers.

This is a unique opportunity that you can’t get anywhere else!

Click on the boxes below for a preview of the program:

dataviz

“Data Visu...

dataviz

“Data Visualization with D3.js” by TODO

Data Visualization with D3.js

Teacher: Fabio Franchino — TODO

Immersive lecture on the key elements and concepts behind data visualization.

The workshop is an immersive tutorial about how to use the JavaScript open source library D3.js to represent data and to create customized and animated diagrams and charts.

Prerequisites: HTML, CSS, previous experience with JavaScript is welcome.

#dataviz #datavisualization #d3js #javascript

“Crash cou...

“Crash course in Python and data science libraries” by TOP-IX

Crash course in Python and data science libraries

Teacher: Stefania Delprete — TOP-IX

Interactive lessons using Jupyter Notebooks on Python and its most used libraries for data science: NumPy, Pandas, Matplotlib, and an initial Scikit-learn exposure. Plus you’ll get clear on what’s inside the Anaconda and SciPy ecosystems.

This session will include insights of the history and future of the open source libraries, how to contribute and participate to the community events.

Prerequisites: Exposure to Python and Jupyter Notebooks.

#datascience #python #numpy #pandas #matplotlib #seaborn

“Data Anal...

“Data Analysis with Spark Streaming” by Agile Lab

Data Analysis with Spark Streaming

Teacher: AgileLab

Big Data analysis is a hot trend and one of its major roles is to give new value to enterprise data. However data and information lose value as they become old, so it is important in a lot of contexts to do near real-time analysis of incoming data flows. Apache Spark is a major actor in the big data scenario and with its Streaming module aims to solve the main challenges in real-time data processing at scale in distributed environments.

This session aims to show the potential of streaming data analysis and how to leverage on Apache Spark with Structured Streaming to extract value from it without taking care of common problems of streaming processing at scale already solved by Apache Spark.

Prerequisites: Python.

#bigdata #dataengineering #dataframework #apachespark

“Real Time...

“Real Time Ingestion and Analysis of data with MongoDB and Python” by AXANT

Real Time Ingestion and Analysis of data with MongoDB and Python

Teacher: Alessandro Molina — AXANT

Nowadays more and more data is generated by companies and software products, especially in the IoT world records are saved with a throughput of thousands per second.

That requires solutions able to scale writes and perform real time cleanup and analysis of thousands of records per second and MongoDB is getting wildly used in those
environments in the role of what’s commonly named “speed layers” to perform fast analytics over the most recent data and adapt or cleanup incoming records.

This session aims to show how MongoDB can be used as a primary storage for your data, scaling it to thousand of records and thousand of writes per second while also acting as a real-time analysis and visualization channel thanks to change streams and as a flexible analytics tool thanks to the aggregation pipeline and MapReduce.

Prerequisites: Python, JavaScript.

#mongodb #realtime #scaling #mapreduce

“Machine L...

“Machine Learning and Deep Learning for Computer Vision” by ISI

Machine Learning and Deep Learning for Computer Vision

Teachers: Andrè Panisson, Alan Perotti — ISI Foundation

This in-depth part of the course allows to build an appealing and diversified Machine Learning portfolio. It starts with a Machine Learning introduction and application with Scikit-learn, and continues with Neural Networks and backpropagation lectures where you’ll start exploring Computer Vision techniques on a dataset of images.

Deep Learning methods. You’ll be challenged to use TensorFlow and Keras on a image classification real cases (such as distracted drivers, healthcare or plant diseases). The workshop ends with lessons in Transfer Learning and one last project building your data set by scraping Google images and practicing everything you learned.

Prerequisites: Python, Pandas, Statistics, exposure to Machine Learning is welcome.

#machinelearning #deeplearning #neuralnetworks #scikitlearn #tensorflow

map FBK

“Spatial i...

map FBK

“Spatial is special: geo technologies and data” by FBK

From local to global using community data

Teacher: Maurizio Napolitano — Fondazione Bruno Kessler

The workshop is an introduction to the geospatial technologies and everything needed to create maps and analyze geographical data.
As data sources will be used several open data sources including OpenStreetMap.

Prerequisites: Python and a complete installation of QGIS 3.6+

#geospatial #map #opendata #osm #qgis #geopandas

 

MORE MODULES COM...

MORE MODULES COMING UP SOON…

Stay tuned! More modules coming up soon…

During the four weeks of the BIG DIVE 8 the lessons and activities took place from Monday to Friday from 9:30am to 4:30pm. Additional time was reserved for special lectures, exercises and “homeworks”.

The last week of the course was dedicated to a final project.

Application process

Here’s a timeline of what happened:

February 25
BIG DIVE 8 – Registrations opening
April 7 Early-bird expiring
June 2 BIG DIVE 8 – Registration closing
From June 17 to July 12 BIG DIVE 8
July 12 BIG DIVE 8 closing event

The application process started with a self-evaluation of the prerequisites (mostly related to your programming skills and Maths background) needed to access and fully enjoy the course. The course is offered in English, that’s why a fluent English is included in the prerequisites. Optional skills were taken in consideration to create a balanced classroom. You can download here a preview of the questions and requirements of the official application form.

In the form you can tell us more about you, your previous experiences and why we should choose you. We strongly encourage you to make a short video to stand out among the other candidates!

When you finally press ‘send’ it comes the waiting part. After two weeks from registrations opening our team started screening the received applications. Candidates might be contacted by the organizers and asked to provide more information about skills or to attend an interview (in person or using a remote audio-video communication tool).

The selection process continued till the official registration closure in order to create progressively a class of maximum 20 Divers.

Applicants selected before the official end of registration were asked to pay a deposit (20% of the total due fee – according to the profile). In case of missing deposit (deadline is one week after the request) the candidate lose the priority in the selection queue.

In case a selected candidate renounces to participate, a new Diver is selected.

The deposit is not refunded in case of waiver communicated after the closure of registration.

All the news about selection, exclusion and deposit request are communicated by email through the email address inserted in the application form.

We understand the need to organise your working schedule and Summer activities in advance, so we do our best to get back to you with the final response as soon as possible.

Pricing

The price includes
The price does not include
  • Access to all the lessons
  • Access to all teaching materials
    (from previous editions too!)
  • Access to alumni network
  • Access to all special events
  • Solid employment opportunities
  • BIG DIVE gadgets
  • Accommodation
  • Food and meals
  • Local transportation
  • Travel expenses

 

The price differs based on the category you fit in:

Student
Non-profit
Regular
With proof of full-time student status at the time of application (Phd Students are also eligible for this profile) With proof of full-time / part-time employment at a non-profit organization at the time of application If you are not eligible for Student or non-profit profiles

Early Price (till Apr 7)
€750 *

Early Price (till Apr 7)
€1,000 *

Early Price (till Apr 7)
€1,250 *

Full Price (till June 2)
€950 *

Full Price (till June 2)
€1,300*

Full Price (till June 2)
€1,500*

(*) if you are eligible for VAT deduction (generally speaking, if you have a VAT Number), above prices will not include VAT.

Guarantee:

  • The deposit is not refunded in case of waiver communicated after the closure of registration.
  • We do not refund unused portion of the training. However, refunds are handled on a case-by-case basis.

A pleasure not only for the mind…

The venue for the course is a recently renovated space in a beautiful historical building in the center of Turin close to the river.

Turin is one hour from the Alps and two hours from the seaside.

By train you can easily traveling among Milan, Florence, Rome, Venice to celebrate after (or during) the BIG DIVE 8 with your classmates!

Organizer and partners

BIG DIVE 8 is organized by:

In collaboration with:

       

Data sponsors:

  

With the patronage of:

Unito | Dipartimento di Informatica

FAQ – Frequently Asked Questions

A copy of your University ID card or any certificate proving you are a student at the time of application. You can send it at info.bigdive@top-ix.org after you filled up the form online.

Must-have requirements to be admitted are:

[1] Background in Descriptive Statistics (mean, median and mode, standard deviation,…).
[2] Python fundamentals (syntax, control flow, functions,…).
[3] Command line basic experience.
[4] Basics of database management.
[5] Git version control system (a personal account on GitHub is required).
[6] As BIG DIVE will be taught in English, proper conversation and writing skills are required.

Please write us to info.bigdive@top-ix.org for any clarifications.

You video is strongly suggested for selection purposes,  the letters of recommendation are not mandatory.

We encourage you do add them to your application to get know you and your motivation better and better evaluate your profile.

The course is designed to be fully-attended in Turin, Italy.

During the first three weeks you’ll focus on studying real cases and tutorials, while in the final week you’ll be part of a group to develop the final data science dedicated to a project.

Yes, at the end of the course you’ll receive a certificate of attendance if you take part at more than 85% of the lesson and complete the final project with your group.

Yes, you can download a courtesy application form in PDF on this link.

It includes the full list of question and requirements.

Yes, from this link you can download a PDF of BIG DIVE 8’s pamphlet.

It can be useful to be shown to different department in you organization.