Nurturing your Data Scientists : 70 years of accumulated experience at your service!

The Data Science community is proud to announce the entrance in of a startup dedicated to data scientists coaching and nurturing: WeLoveDataScience

Data scientist… Where are you? Do you really exist?

That’s the question many managers do currently face. Data Scientists is a scarce 5-legs sheeps: difficult to find, difficult to hire and difficult to keep.

 

logo_WeLOveDataScience_width2000

 

WeLoveDataScience is a brand new business unit, hosted at the European Data Innovation Hub, dedicated to searching, selecting, training, coaching and nurturing data science talents. The Belgian market does not propose enough candidates: we will take care to train next-gen data scientists for you.

Whatever your projects are, we propose to prepare for you the data scientist(s) you need, following these 7 steps:

  1. Together we prepare a detailed job description corresponding to your real needs: is this about data analysis, basic queries, reporting, data mining, big data or new technologies?
  2. We identify candidates on the market in particular through close collaborations with Belgian universities (Ghent, ULB/VUB, UCLouvain…)
  3. You hire the right candidate!
  4. He/she assists a 12 weeks data science bootcamp , including: high-level overview, data science for business, technical stack (SAS, R, Python…), introduction to specific technologies/topics (NoSQL or graph databases, social network analysis, text-mining..)
  5. Then he/she works for you at our offices during 4 tot 6 month, coached by one of our expert. On the job coaching on real projects: your projects but also hackathons, technology workshops, meetups…
  6. After those 10 intensive months, (s)he is ready to work for you on site. (S)He will demonstrate his/her knowledge by giving a course on a specific topic and/or writing entries in specialised blogs, giving a presentation at a conference…
  7. We assist you in yearly evaluation and follow-up.

Our intentions for 2016 are to help companies create and develop data science teams and to build a data science culture… And WeLoveDataScience: this is 70 years of accumulated experience at your disposal!

Want to know more? Visit: www.welovedatascience.com , send an email to info@welovedatascience.com or simply fill in this contact form. We will visit and explain what we do and brainstorm about your specific needs.

 

Coached MOOC – Edx – Data Science and Machine Learning Essentials – Brussels

Intro to machine learning

About this course

Demand for Data science talent is exploding. Learn these essentials with experts from M.I.T and the industry, partnering with Microsoft to help develop your career as a data scientist. By the end of this course, you will know how to build and derive insights from data science and machine learning models. You will learn key concepts in data acquisition, preparation, exploration and visualization along with examples on how to build a cloud data science solution using Azure Machine Learning, R & Python.

Data Science is an essential skill for analyzing and deriving useful insights from data, big and small. McKinsey estimates that by 2018, a 500,000 strong workforce of data scientists will be needed in US alone. The resulting talent gap must be filled by a new generation of data scientists.
This course is organized into 5 weekly modules each concluding with a quiz. By achieving a passing grade in the final course assessment you will receive a certificate demonstrating that you have acquired data science skills and knowledge. Apart from answering your questions on the forum, faculty will host an office hour to address questions you may have while undertaking this course.

Get an ID verified certificate to demonstrate your data science knowledge and share on Linked-in.

What you’ll learn

  • The data science process
  • Overview of data science theory
  • Data acquisition, ingestion, sampling, quantization, cleaning and transformation
  • Building data science workflows with Azure ML
  • Data science tools including R, Python and SQL
  • Data exploration and visualization
  • Building and evaluating machine learning models
  • Publishing machine learning models with the Azure ML

View Course Syllabus

Why we coach MOOCs

The European Data Innovation Hub is partnering with top experts to offer MOOC participants the possibility to do these online courses in group. During the duration of the Mooc participants will be welcome to come to the Hub in Brussels to work and to go through exercises with other participants. On specific days one or more domain expert will be present to coach the students.

Planning

  1. Sign up to this edx course here
  2. Join the meetup group here to reserve your seat.

Meet the online instructor:

bio for Dr. Steve Elston

Dr. Steve Elston

bio for Cynthia Rudin

Cynthia Rudin

Meet the coach:

datasiencebe.com mooc coaching  FullSizeRender (1)

Ward Vanden Berghe, Hendrik D’Oosterlinck

Certificate

Pursue a Verified Certificate to highlight the knowledge and skills you gain ($50)

View a PDF of a sample edX certificate
  • Official and Verified

    Receive a credential signed by the instructor, with the institution logo to verify your achievement and increase your job prospects

  • Easily Shareable

    Add the certificate to your CV, resume or post it directly on LinkedIn

  • Proven Motivator

    Get the credential as an incentive for your successful course completion

Job opportunities ?

hidden-jobs1

Click here for Data related job offers.
Join our community on linkedin and attend our meetups.
Follow our twitter account: @datajobsbe

Have you been to our Meetups yet ?

Each month we organize a Meetup in Brussels focused on a specific DataScience topic.

Brussels Data Science Meetup

Brussels, BE
1,382 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…

Next Meetup

How Data Science is Transforming Sales and Marketing

Thursday, Sep 24, 2015, 6:30 PM
180 Attending

Check out this Meetup Group →

Starting free hands-on MOOC Coaching!

Hi everyone!

We’re excited to announce our coaching in the most popular Massive Open Online Course: Machine Learning by Andrew Ng! We’ve got some beautiful new office space thanks to our buddies at AXA Belgium where we’ll be holding meetups to discuss and work through course materials. We’ll start Monday 4th of May around 7 pm, so keep a look out at our various channels of communication! Here’s the Meetup.com event with address details, a Calendar file and so on.

Andrew Ng’s ‘Machine Learning’ is one of the first courses on Coursera which has grown to amazing popularity, and rightfully so! This course covers ‘how to make computers act without explicitly programming them’, as Andrew puts it, by explaining concepts like multivariate regression, neural networks, support vector machines and much more. This information is invaluable for many branches of data science and gives a good look at what’s ahead for those willing to get their hands dirty. You don’t have to be an expert programmer for it either. Everything Andrew does is in Octave, but to make our learning experience even more exciting we’ll be repeating the Octave exercises in R, a very common language among all data- or statistics workers. R is a great language to learn if you’re looking to go forward in (online) courses concerning data science.

With our group, you’ll be guided in understanding the concepts and assignments given to you in this course, giving you valuable experience in what Machine Learning is and what can be accomplished with it. We’ll also give a little more background on some of the stuff Ng talks about so that each and all can keep their head above water.

And, of course, it’s free! We want to stimulate a learning environment and attract enthusiasts on all levels, so feel free to join in. After our first meetup we’ll hook a camera up with a Google Hangouts group so that you can follow online.

First ‘in-real-life’ meeting will start Monday May 4th and from then on we’ll get together every Thursday (except on main meetup days, about once per month). Edward and I will coach, though enthusiasts are always welcome to help out or hang around.

See you there!

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 →

Hands-On – Join us Saturday @Vlerick – Social Network Analysis #hackathon

vlerick logo

Next Hands-On will take place in the offices of Vlerick in Brussels

 

Hands-on : Social Network Analysis Challenge part 2- full day

Saturday, Nov 29, 2014, 9:00 AM

Vlerick Business School
Bolwerklaan 21 Brussels, BE

31 Business & Data Science pro’s Attending

Part 2:We had an excellent first session, the objectives have been defined and documented on the hackpad. Members of the team have requested more time to work together on the project. In order to facilitate this we have  decided  to  reserve a full  day.During this hands on session we will focus on Social Network Analysis. Today the teams will p…

Check out this Meetup →

Outcome day 1:

network

  • Mehdi El Fadil showcased other visualisations and analysis of the twitter social network, including community detection. An attempt to recover some of his results is described below. Mehdi also described the typical steps involved in a social network analysis project:
  • Groups discussion yielded an analysis of Willingness to travel (see below ), and some participants set up twitter crawlers, to be used following other participants’ needs.
  • We discussed and decided to have a longer, full-day second session on Sat 29 Nov so that participants would really have time to get some work done during the session.

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.

BlogPost – Datacamp – HOW TO BECOME A DATA SCIENTIST IN 8 EASY STEPS: THE INFOGRAPHIC

This post was written by the team behind DataCamp, the online interactive learning platform for data science.  

After being dubbed “sexiest job of the 21st Century” by Harvard Business Review, data scientists have stirred the interest of the general public. Many people are intrigued by this job, namely because the name has an interesting ring to it. But it is exactly the name that also raises a lot of questions. Because what is a data scientist and what do data scientists do exactly? Many of us who devote their lives to data science have frequently been confronted with questions like these.

The answers to these questions are mostly not as straightforward as you would expect: a short search on Google with the string of words “How to become a data scientist” shows that the concept has different meanings to different people. In addition, many articles indeed suggest various tools, courses and applications for people to become a data scientist, and with good reason: the options are unlimited. But let’s face it, for someone that is not familiar with the field, this advice may sometimes seem like a jungle of information. What’s more, they could work demotivating: the descriptions are sometimes fearfully long and the many details often hit the readers as an overwhelming avalanche.

DataCamp’s Guide to Becoming a Data Scientist

With all this in mind, DataCamp decided to help those who can’t see the forest for the trees: we designed a step-by-step infographic that clearly outlines how you can become a data scientist in 8 easy steps.  This visual guide is meant for everyone that is interested in learning data science or for everyone that has already become a data scientist but wants some additional resources for further perfection.  The infographic is called “Become a data scientist in 8 easy steps”. Have a look at it!

Become a data scientist in 8 easy steps
Source: blog.datacamp.com

If you are thinking about becoming a data scientist, do not be taken aback by the eight steps that are presented in the infographic. We would like to emphasize that becoming a data scientist takes time and personal investment, but that the journey is everything but dull! And don’t forget, there are plenty of courses available to set you on the right way.

If you are already a data scientist, drop us a line atinfo@datacamp.com if you think of other steps that you have undertaken in your professional journey.

 

 

Seminar – TMAB / Agoria – Big Data Where is the privacy – 04.11.2014 Meise

Big Data
(Message bilingue: clicquez ici pour la version en français ci-dessous)

De ontwikkeling van Big Data en haar toepassingen zet privacy op scherp. Big Data is een realiteit waar bijzonder veel economische waarde in zit, maar Big Data voedt ook het onbehagen inzake privacy; tussen organisaties en individuen moeten we hier een goede balans in zien te creëren.
Privacy in een Big Data-tijdperk biedt nieuwe uitdagingen maar ook kansen…

Doelgroep
Dit congres wordt georganiseerd voor iedereen die te maken heeft met het verwerken van grote en ongestructureerde datasets, voor zowel IT-professionals als management.

Waarom mag u deze afspraak niet missen?

  • Een uiterst interessant conferentieprogramma met actuele onderwerpen en klantengetuigenissen
  • Big Data 2014 geeft u inzicht op deze snel veranderende markt.
  • Tijdens de pauzes en na de presentaties heeft u de mogelijkheid om te netwerken en de standen te bezoeken. Op deze standen maakt u kennis met de recentste producten & diensten.
  • Bovendien vlot bereikbaar en ruime parkeergelegenheid.

 

Agoria & TMAB kunnen u trots een uitgebreid & gevarieerd programma aanbieden op het
Big Data Congress op 4 november, met scherpe analyses en verrassende visies van volgende experts:

  • Ferdinand Casier, Business Development Manager, Agoria ICT
  • Keynote Mr Erik Valgaeren, Lawyer-Partner, Stibbe
  • Marcel Van Galen, Founder, Qiy Foundation
  • Peter Rakers, Strategist, Cropland
  • Gwellyn Daandels, Practice Director Benelux, Enterprise Information Management Cognizant
  • André De Locht, Benelux Information Integration & Master Data Management Segment, IBM
  • Tijmen Weddepohl, ‎Business Development, PEPITe
  • Paul Poelmans, Transformation Officer, Sogeti
  • Keynote closing Jo Coutuer, Public Sector Technology and Analytics – Partner, Deloitte

Case iTesla, gefinancierd door de EU, met datamining technieken op cijfergegevens van de voorbije jaren, voor opvolging van het electriciteitsnet
Wettelijke beperkingen bij data mining, BI en Big Data
Onafhankelijk Europees afsprakenstelsel voor meer privacy en meer online vertrouwen van de consument
Security – Unified Communication – e-Invoicing
Case WINTELL voor windturbines, combineert alle productie-, reliability- en weerdata voorpredictive maintenance.

Het zijn maar enkele van de onderwerpen die u er ongetwijfeld zullen interesseren.
Klik HIER voor het VOLLEDIGE PROGRAMMA

Datum: dinsdag 4 november 2014
Plaats
: Domein Terrassel Meise
Website: www.bigdatacongress.be
Deelname
: 195 EUR + BTW  (vergeet je speciale korting niet aan te vragen als lid van Brussels Data Science Community)
Bevestig uw registratie: klik HIER
Info
: Katleen De Coster, T 052 65 00 37 – katleen.decoster@tmab.be

Organisatie:
Agoria  

——–

Le développement de Big Data et de ses applications focalise la vie privée.
Big Data est une réalité où réside énormément de valeur économique, mais Big Data nourrit également le mécontentement en termes de vie privée; il faut trouver un bon équilibre entre les organisations et les individus. La confidentialité et l’ère du Big Data offrent des nouveaux défis mais aussi des opportunités.

Groupe cible
Ce congrès est organisé pour tout un chacun confronté avec le traitement d’ensembles de données conséquents et déstructurés, tant les professionnels de la gestion que de l’IT.

Plusieurs raisons pour ne pas rater ce congrès:

  • Un programme très intéressant avec des thèmes actuels et des témoignages de clients
  • Big Data 2014 vous donne une vue réaliste sur ce marché qui ne fait qu’évoluer.
  • Pendant les pauses et après les présentations, vous avez la possibilité de visiter les différents stands afin d’apprendre à connaître les nouveaux produits et services et de discuter avec les autres participants.
  • Non négligeable, accès aisé et facilités de parking.
  • Kroes va injecter 2,5 milliards d’euros dans les Big Data.
    Avec cet argent, Kroes entend investir dans des initiatives liées aux big data, en se focalisant spécifiquement sur la recherche et l’innovation dans les domaines de l’énergie, de la fabrication et de la santé.
    Telles étaient les informations dans les médias il y a une semaine.

Agoria et TMAB sont fiers de vous présenter un programme riche et varié au congrès Big Data le 4 novembre prochain, avec des analyses pointues et des visions surprenantes des experts suivants :

  • Ferdinand Casier, Business Development Manager, Agoria ICT
  • Keynote Mr Erik Valgaeren, Lawyer-Partner, Stibbe
  • Marcel Van Galen, Founder, Qiy Foundation
  • Peter Rakers, Strategist, Cropland
  • Gwellyn Daandels, Practice Director Benelux, Enterprise Information Management Cognizant
  • André De Locht, Benelux Information Integration & Master Data Management Segment, IBM
  • Tijmen Weddepohl, ‎Business Development, PEPITe
  • Paul Poelmans, Transformation Officer, Sogeti
  • Keynote closing Jo Coutuer, Public Sector Technology and Analytics – Partner, Deloitte

Le case iTesla, financé par l’UE, avec des techniques de datamining sur l’historique des mesures de réseau des dernières années pour le suivi du réseau européen d’électricité
Les limites juridiques dans le data mining, BI et Big Data
Un système européen indépendant de coordination pour davantage de privacy et une meilleure confiance du consommateur à l’égard du “en ligne”
Security – Unified Communication – e-Invoicing
Le case WINTELL pour les éoliennes, qui combine toutes les informations de production, de fiabilité et de données météorologiques pour une maintenance prédictive.

Ce ne sont que quelques exemples de sujets qui sans aucun doute vous intéresseront.
Cliquez ICI pour consulter le PROGRAMME COMPLET.

Date: Mardi 4 nov. 2014
Lieu: Terrassel Meise
Site webwww.bigdatacongress.be
Participation: 195 EUR + TVA (demandez votre réduction spéciale de membre Brussels Data Science Community )
Pour vous inscrire, cliquez ICI
Info: Katleen De Coster, T 052 65 00 37 – katleen.decoster@tmab.be

Organisation:
Agoria  

 

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.