WOOT WOOT: #womenintech @ #disummit

#womenintech @di-Summit

During this year’s summit you will hear stories on how data is used to build a better world.

On March 30th we have invited an impressive lineup of top speakers and prepared in depth training classes for managers and data scientists.

Her is an overview of our #womenintech speakers:

  1. Nele Coghe – Data Science Expert – I’ll introduce you to over 30 stories told by the best experts in data science
  2. Tine Vandenbreeden – CTO @ SAP – How s mart is digital twin?
  3. Juli Ursi – BI expert @ SAP –  I’ll give you a tour of our digital boardroom
  4. Elena Bonfiglioli – Senior Director Health @ Microsoft – “Solving” Cancer with Artificial Intelligence
  5. Nadia Aime – Womanmentorassociation – I’ll tell you a story about #womenintech and data
  6. Céline Bouton – Co-Captain @ Armada.digital – We are empowering good causes to spread the word
  7. Bianca Debaets – Secretary of State – Data Science makes our city s marter
  8. Hannah Pinson – Winner #denguehack – We predicted the next dengue outbreak using twitter feeds
  9. Ann-Elise Delbecq – Analytics @ IBM – a new cognitive way of working with data and analytics
  • Please check disummit.com form more exciting presentations.

Launching the first Data Science Bootcamp in Europe

We are so happy to launch the first European  data science bootcamp

It is so nice to write this page on the launch of the first European data science bootcamp that will start this summer in Brussels. This initiative will boost the digital transformation effort of each company by allowing them to improve their data skills either by recruiting trainees and young graduates or transforming existing BI teams to become experienced business data scientists.

Intense 5+12 weeks approach to focus on practical directly applicable business cases.

The content of this bootcamp originated from the Data Science Community. Following the advice of our academic,  innovation and training partners we have decided to offer a unique hands-on 5 + 12 weeks approach.

  1. We call the first 5 weeks the Summer Camp (starts Aug 16th).  The participants work onsite or remote on e-learning MOOCs from DataCamp to demonstrate their ability to code in Python, R, SAS, SQL and to master statistical principles. During this period experts put all their energy into coaching the candidates in keeping up the pace and finishing the exercises. All the activities take place in our training centre located in the European Data Innovation Hub.
    -> If you are a young graduate you can expect to be contacted by tier one companies who will offer you a job or traineeship that will start with the participation to the datascience bootcamp.
  2. The European Data Science Bootcamp starts September 19thDuring a 12 week period – every Monday and Tuesday – participants will work on 15 different business cases presented by business experts from different industries and covering diverse business areas. Each Friday, the future data scientists will gather to work on their own business case, with coaching by our data experts to achieve an MVP (Minimum Viable Product) at the conclusion of the bootcamp.

Delivering strong experienced business data science professionals after an intense semester of hands-on business cases.

Companies are invited to reserve seats for their own existing staff or for the young graduates who have expressed interest in following the bootcamp.

 Please reserve your seat(s) now as, this bootcamp is limited to 15 participants.

Please contact Nele Coghe on training@di-academy.com or click on di-Academy to learn more information about this first European Data Science Bootcamp.

  • Here  is the powerpoint presentation explaining the Bootcamp.
  • Here is the presentation done by Nele during the Data Innovation Summit.

Hope to see you soon at the Hub,

Philippe Van Impe
pvanimpe@di-academy.com

All you ever wanted to know about Digital Transformation in one day.

March 23rd in Brussels – reserve your seat here

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See you on Wednesday 23rd in Brussels.

more info about this event: www.disummit.com

 

#DIS2016 – Le rendez-vous annuel des acteurs du monde de la Data Science

logo_v5La Transformation Digitale, c’est le thème principal du Data Innovation Summit 2016: l’événement qui réunit l’écosystème belge du domaine du traitement des données.

Rendez-vous le mardi 10 mai 2016 au 25 Boulevard du Souverain – 1170 Watermael Boisfort pour une journée rythmée par plus de 40 présentations d’expertes, 20 stands d’entreprises, et de nombreuses opportunités de networking.

Le rendez-vous annuel des acteurs du monde de la Data Science

Le succès de la première édition du Data Innovation Summit a motivé les organisateurs à pérenniser le Data Innovation Summit.

« L’écosystème de la Data Science belge avait besoin d’un rassemblement qui permette à ses différents membres de se connaître et d’échanger. C’est ainsi qu’est né le Data Innovation Summit » explique Philippe Van Impe – Fondateur du European Data Innovation Hub, qui organise l’événement.

Rassembler, apprendre et s’amuser sont les maîtres mots qui ont réunit l’année dernière, tous les acteurs du monde de la Data Science: Startups et grandes entreprises ainsi qu’universitaires et membres du gouvernement. Cette année encore, ces trois mots attirent et plus de 300 personnes sont attendues au Summit.

Une édition sous le signe de la Transformation Digitale et de l’inspiration au féminin

L’économie d’aujourd’hui évolue très rapidement. L’innovation est un pilier essentiel de ce changement et il est impératif pour les acteurs économiques de ne pas rater le train de la Transformation Digitale en marche. Ce constat s’applique évidemment au domaine du traitement des données.

Défi supplémentaire, cette année, la majorité des experts présentant leurs histoires au Summit seront des expertes. « L’année dernière, sur 68 speakers nous avions 3 femmes. Cette année, nous avons décidé d’inverser la donne pour montrer que les femmes sont aussi impliquées dans ce monde qui parait essentiellement masculin » affirme Philippe Van Impe.

Une programmation riche et inspirante

L’événement est articulé en plusieurs temps forts :

  • Des expertes du Data et de la Transformation digitale viendront parler de leur expérience: découvrez l’histoire de Saskia Van Uffelen – CEO d’Ericsson, d’Ursula Dongmo – ICT women of the year 2016 ou encore d’Annemie Depuydt – CIO de l’université de Louve-la-Neuve.
  • Un hall d’exposition : où vous pourrez discuter avec des entreprises mais aussi tester un casque de réalité virtuelle ou encore découvrir des œuvres d’art connectées.
  • Des networking breaks : grâce à Conversation Starter, une startup Bruxelloise, les visiteurs du #DIS2016 pourront programmer leur venue et organiser des rendez-vous sur la journée.

Programme complet de l’événement : http://disummit.com/program-main-track/

Contact & organisation

  • Brussels Data Science Community
  • Philippe Van Impe
  • 0477 23 78 42
  • pvanimpe@gmail.com
  • Website : www.disummit.com
  • Twitter: @DataEu
  • Facebook group: European Data Innovation Hub

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The question “Are all Data Scientists nerds?” answered thanks to the Data Innovation Survey 2015

This article was originally published here

Although the Data Scientist has been declared the sexiest job of the 21st century by HBR and others, if we are honest, we need to admit that data scientists are still associated with nerds by the mainstream population. This data innovation survey was the perfect opportunity to me to investigate whether data scientists are really that nerdy as perceived by many.

I started this article by looking up some background information (after all, I do consider myself as a data scientist) on nerds. I found a very appropriate description on Wikipedia:

nerdNerd (adjective: nerdy) is a descriptive term, often used pejoratively, indicating that a person is overly intellectual, obsessive, or socially impaired. They may spend inordinate amounts of time on unpopular, obscure, or non-mainstream activities, which are generally either highly technical or relating to topics of fiction or fantasy, to the exclusion of more mainstream activities. Additionally, many nerds are described as being shy, quirky, and unattractive, and may have difficulty participating in, or even following, sports. Stereotypical nerds are commonly seen as intelligent but socially and physically awkward. Some interests and activities that are likely to be described as nerdy are: Intellectual, academic, or technical hobbies, activities, and pursuits, especially topics related to sciencemathematicsengineering and technology.

Does any of this sound familiar to you?

Let’s dive into the results of the data innovation survey, together with my best friend SAS Visual Analytics, to check if these stereotypes are true in the Belgian Data Science Landscape.

Stereotype n°1: All data scientists are young males

It probably doesn’t come as a surprise to you that the 87.2% of the respondents are male, but I’m glad to see that 36 other woman took the survey along with me. In terms of age, we do find a lot of youngsters, but the categories above 35 seem to be well represented too.

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Note to the designer of the survey: next time please don’t foresee fixed age categories but let people type their real age if you want to see more interesting graphs than poor pie charts…

 Stereotype n°2: Data scientists are in front of their computer all night

Participants had nine days to respond to the survey. In the bar chart below you can see on which days the 289 respondents submitted the survey. We observe a clear pattern in the beginning of both weeks and strangely enough a drop towards Friday 13th… Maybe data scientists are more superstitious than they would like to admit?

Even more interesting to analyze are the times of the day when people took the survey. To my big surprise there’s a peak in the morning, so the Belgian data scientists seem to be early birds!

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As we received the start time and the end time, I also calculated how long the average data scientist took to solve the questionnaire: 12.66 minutes, but the median data scientist had the job done in 10 minutes. We all remember our first statistics class: when the median is not equal to the mean, there is no symmetric distribution…

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Stereotype n°3: Data scientists are disconnected from the real world

If all data scientists are actually nerds, then they should all be quite “unworldly”. According to the Belgian Data Science survey, almost one third is working for a business organization or NGO with 7 777 employees worldwide on average, doesn’t sound that nerdy to me…

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In total, 42% of the Belgian data scientists who took the survey are employed in the IT and technology industry. Ok, what else did you expect?

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If data scientists were really that socially inadequate as what could be believed by some bad influences, ds7  they would never make it to a management position in their organization. And look, almost 55% our respondents have management responsibilities to a certain extent.

Stereotype n°4: All Data scientists hold a PhD in science or mathematics

Wrong again! Only 18.3% of the Belgian Data Scientists are holding a PhD degree. Although the majority graduated in science&math, ict or engineering, a significant amount completed commerce or social studies.

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Stereotype n°5: All Data scientists are programming geeks and only use non-mainstream techniques

In part 6 of the survey, participants were asked to rate their skills with a score between 1 (don’t know this technique) and 5 (I’m a guru). It turns out that data scientists are not all guru’s in the newer techniques like big data and machine learning but are mostly familiar with traditional techniques like data manipulation (regexes, Python, R, SAS, web scraping) and structured data (RDBMS, SQL, JSON, XML, ETL).
ds10Although we observe some quite high correlations (between math & optimization 0.73, big data & unstructured data 0.67, …) it doesn’t necessarily mean that the scores are high on these topics. This is clearly illustrated with the heat maps below. On the left we have math and optimization which are highly correlated but with low scores, and on the right there is data manipulation and structured data with a moderate correlation of 0.42 but with the highest scores.

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Stereotype n°6: All Data scientists are socially isolated and afraid to appear in public

The Belgian Data Scientists don’t only attend the monthly meetup meetings to learn about the new developments in Data Science or to hear what’s happening on the Belgian Data Science scene, but many of them also state social and networking reasons as motivation to get away from their pc to attend these meetings.

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Stereotype n°7: There are clear role models for data scientists, they all look up to the same persons

Not that many respondents seem to be influenced by other data scientists in this world, as only a few of them answered this question with the name of a fellow data scientist and mostly different ones. For Belgium on the other hand, we do find two names that each appeared eight times among the answers. Congratulations to Bart Baesens and Philippe Van Impe, the Belgian Data Science guru’s!

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Conclusion

The conclusion of the analysis of the Data Innovation Survey is as straightforward as simple: Data Scientist is the sexiest job of the 21st century! Unfortunately I’ll have to finish off here as my pole dancing class is going to start…

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