Top 5 presentations of DIS2015 (Data Science Innovation Summit).

Dear friends,

March 26th will be the milestone of our community.

We had 68 speakers at our Data Innovation Summit with over 500 attendants. Check our new DataScience video channel with all the presentations. Pictures of the event are available on our facebook page. Over 600 people replied to the datascience survey.  Read Ward’s analysis of the satisfaction survey.

Here is the top 5 of the presentations:

  • Kris Peeters: The people aspect of Data Science (view)
  • Elena Tsiporkova: Data Innovation Lab (view)
  • Toon Vanagt: How Open Data allows faster innovation (view)
  • Hans Constandt: The disruptive Role of startups in Data Innovation (view)
  • Steven Beeckman: Government and Data (view)

Thank you for participating to the Data Science Survey. The results are still available to all participants. Here is a summary done by our experts:

  • Data Innovation Summit Dashboard by Dieter and Nicholas (view)
  • Data Innovation Survey results – In Neo4j by Rik (view)
  • The question “Are all Data Scientists nerds?” – By Nele (view)
  • Data Innovation Survey 2015 – preliminary analysis by Ward (view)

The plan is to bundle these in a e-book, if you want to be part of this book you only need to submit your analysis. We are still waiting for a team that wants to link this survey with another existing survey. Winners of the best analysis will be announced during our Banking meetup on May 20th.

Thank you for all for making this summit a success.

Philippe Van Impe

Join us on our next meetup:

Brussels Data Science Meetup

Brussels, BE
1,161 Business & Data Science pro’s

The Brussels Data Science Community:Mission:  Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand cha…

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Data for Good & Kaggle competitions

Thursday, Apr 23, 2015, 6:30 PM
86 Attending

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New Links:

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Free webinar on Analytics in a Big Data World by Bart Baesens.

Baesens_Bart_small

Nice overview on how analytics and datasciences are used in a bigdata world.

Professor Baesens will be present at the Data Innovation Summit on March 26th in Brussels.

He will present his latest book about Big Data Science.

Join us, you can get your free full day access pass when you  answer the Data Innovation Survey 2015.

Enjoy the webinar …

Join our next event

Please register using this meetup page:

Summit: Data Innovation Summit – Made in Belgium

Thursday, Mar 26, 2015, 8:00 AM

AXA building
boulevard du Souverain, 25 Watermael-Boitsfort, BE

450 Business & Data Science pro’s Attending

Toon Vanagt- Laurent Fayet – Filip Maertens – Kris Peeters – Vincent Blondel –David Martens – Hans ConstandtThe Data Innovation Summit in Brussels is a one day conference gathering all the Belgian actors facilitating data innovation. It is an action packed conference where more than 50 speakers will demonstrate what they do that helps us compete i…

Check out this Meetup →

Webinar – Bart Baesens – State of the Art in Credit Risk Analytics

Bart Baesens   Professor of Big Data & Analytics

   https://lnkd.in/d2UQEzU

more about Bart on : http://www.dataminingapps.com/

 

 

 

New e-learning course Credit Risk Analytics by professor Bart Baesens

Baesens_Bart_small     Big Data World

Beste mensen van de Brussels Data Science Community,
Na 6 maanden werk eraan, is het zover!
Mijn E-learning cursus staat online op:
Laat gerust weten als je nog vragen zou hebben.
Vriendelijke groeten,
Bart

Prof. Dr. Bart Baesens
Faculty of Economics and Business
KU Leuven
Naamsestraat 69
B-3000 Leuven
Belgium

www.dataminingapps.com

Master of Information Management

————–

New e-learning course Credit Risk Analytics by professor Bart Baesens

The outline of the course is as follows:
Lesson 1: Introduction to Credit Scoring
Lesson 2: The Basel Capital Accords
Lesson 3: Preparing the data for credit scoring
Lesson 4: Classification for credit scoring
Lesson 5: Measuring the Performance of Credit Scoring Classification Models
Lesson 6: Variable Selection for Classification
Lesson 7: Issues in Scorecard Construction
Lesson 8: Defining Default Ratings and Calibrating PD
Lesson 9: LGD modeling
Lesson 10: EAD modeling
Lesson 11: Validation of Credit Risk Models
Lesson 12: Low Default Portfolios
Lesson 13: Stress testing
You are invited to send an email to Bart.Baesens@gmail.com if interested in more information.

Announcing the Data Innovation Summit – Made in Belgium – March 26th 2015

agenda front

structurally sponsored by:

AxaAgoriaEuroclear

Main speakers:

Toon Vanagt Laurent Fayet Filip Maertens kris_peeters_0 Vincent Blondel David Martens HANS CONSTANDT

Toon Vanagt- Laurent Fayet – Filip Maertens – Kris Peeters – Vincent Blondel – David Martens – Hans Constandt

Summit  Sponsors:

sas-logokeyrus

The Data Innovation Summit in Brussels is a one day conference gathering all the Belgian actors facilitating data innovation. It is an action packed conference where more than 50 speakers will demonstrate what they do to help us compete in this digital marketplace.

The day is divided in 6 main sections:

  1. Keynotes sketching the Data Innovation Ecosystem
  2. Enterprise Business Cases
  3. Ignite sessions by innovation facilitators
  4. Business Cases brought by Universities
  5. Startup sessions
  6. Ignite sessions by the members of the community

Agenda

  • Please find the latest update of the agenda here.

Over 50 Speakers

  • One minister
  • One Rector
  • At least 10 Professors
  • Over 15 CEO’s & founders
  • Over 30 ignite sessions
  • Over 15 innovative startups
  • Please find the latest update of the speakers  here

Why you should attend:

  • Learn how to become a Data Driven manager.
  • Interact with Belgian’s most innovative speakers about Data Innovation and Data Science.
  • Listen to business cases explaining the different ways to extract value from Data.
  • Meet every important instance implicated with Data Innovation in Belgium.

Who else is attending:

  • Government, Universities and Companies will present the value they managed to get out of their analytic projects.
  • More than 500 professionals all active in the data science / analytics /IoT /bigdata environment are expected to attend.

Sponsoring opportunities:

  • You can check out the sponsoring program here.
  • Send an email to datasciencebe@gmail.com to request more details about the prices for these sponsoring possibilities, or just call Philippe Van Impe on 0477 23 78 42.

Registration

Please register using this meetup page:

Summit: Data Innovation Summit – Made in Belgium

Thursday, Mar 26, 2015, 8:00 AM

AXA building
boulevard du Souverain, 25 Watermael-Boitsfort, BE

396 Business & Data Science pro’s Attending

Toon Vanagt- Laurent Fayet – Filip Maertens – Kris Peeters – Vincent Blondel –David Martens – Hans ConstandtThe Data Innovation Summit in Brussels is a one day conference gathering all the Belgian actors facilitating data innovation. It is an action packed conference where more than 50 speakers will demonstrate what they do that helps us compete i…

Check out this Meetup →

Sneak preview – Mooc – Bart Baesens – Credit Risk Analytics

Baesens_Bart_small     Big Data World
I had a nice lunch with Prof. Dr Bart Baesens today at the MIM to discuss his recent book ‘Analytics in a Big Data World: The Essential Guide to Data Science and its Applications’
One topic we discussed was knowledge transfer and certification.
Next to the recorded presentations already available on dataminingapps.com, the professor told me that his new course about Credit Risk Analytics would soon be released. Here is for you, in avant première, the content of this course that he has put together with SAS. This course will be available mid November 2014.

New e-learning course Credit Risk Analytics by professor Bart Baesens

The outline of the course is as follows:
Lesson 1: Introduction to Credit Scoring
Lesson 2: The Basel Capital Accords
Lesson 3: Preparing the data for credit scoring
Lesson 4: Classification for credit scoring
Lesson 5: Measuring the Performance of Credit Scoring Classification Models
Lesson 6: Variable Selection for Classification
Lesson 7: Issues in Scorecard Construction
Lesson 8: Defining Default Ratings and Calibrating PD
Lesson 9: LGD modeling
Lesson 10: EAD modeling
Lesson 11: Validation of Credit Risk Models
Lesson 12: Low Default Portfolios
Lesson 13: Stress testing
You are invited to send an email to Bart.Baesens@gmail.com if interested in more information.