What is SAS Data Science Hackaton?
It is a competition for students to solve real life business problems using Machine Learning techniques, starting from the preparation of data until the development of the analytical model and presenting the results to the jury of experts.
The will define the real problems that will be solved. They will provide guidelines and will also be the Jury of Experts to identify the winner.
The competition will be in a cloud based enviroment. All students have to bring is their laptops
3 phases of SAS Data Science Hackathon
Phase 1: April 15th
SAS Hackathon - Training day
No prior knowledge of SAS software is required to participate in the SAS Data Science Hackathon. You will get a one day training provided by SAS trainers about SAS solutions to be used during the challenge. Each team will have access to the software to try and test their use during the course. The key software you will use during the event is SAS Visual Data Mining and Machine Learning. A separate block will be dedicated to highlight the desired format of the fi nal presentation and the expectations regarding its content. Participation in the training is a basic condition of the competition, so we ask you to attend in order to be able to participate in the SAS Data Science Hackathon.
12:00 Break Time
16:00 End of the training day
Phase 2: April 21st
SAS Hackathon - All Teams
Each team will get access to the dataset to solve the tasks given. The key software is SAS Visual Data Mining and Machine Learning software. During the day SAS mentors will be available to give technical support to participants.
09:20 Welcome speech, presentation of the challenge, delivery of the brief and start of work
16:00 Submission of initial results by teams
Phase 3: April 28th
SAS Hackathon Teams fine tune their solutions in the morning as well as work on a PowerPoint presentation of the results. They will have 10 minutes to present their pitch to the jury, which will also evaluate the storytelling skills: the clarity of exposition, the engagement of the audience and the completeness of the contents displayed during the pitch
09:00 Arrival and start of work
14:00 Starting presentation session
16.30 Awards ceremony
SAS Data Science Hackathon program
|16.00||End of the training day|
|09.20||Welcome speech, presentation of challenge, delivery of the brief and start of work|
|16.00||Submission of initial results by teams|
|09.00||Arrival and start of work|
|14.00||Starting presentation session|
Evaluation of projects
The SAS Hackathon jury will analyze and
evaluate all the work presented by the teams according to the following
- Objective accuracy of the analytical model developed on a set of evaluation data,
- Presentation of the results (exhibition clarity, public engagement, completeness of the exhibited contents)
Each participant of the three winning teams will have the opportunity to participate in a program of Data Science training. In addition, the winning teams will have the opportunity to present their work at a local or a global SAS event.
The key software you will use during the event is SAS Visual Data Mining and Machine Learning in a cloud environment, which supports the end-to-end process of data mining and machine learning through a complete visual and programming interface. Equipped with a cutting edge analytical technology based on a powerful in-memory engine, the hackathon attendees will be invited to solve fascinating real-life challenges with the use of the newest machine learning algorithms. No previous knowledge of SAS is required, participation in a training prior to the event will provide you with the necessary skills to use the software. Each team will be able to access publically available cloud environment from their own devices.
10 teams of 5 students each. No prior knowledge of SAS software is needed, all necessary skills can be gained during the training day.