Event – Official Opening of the European Data Innovation Hub in Brussels – October 20th 10AM

HUBdatainnovation invitation

We are so pleased to announce that our Hub will officially be inaugurated by Alexander De Croo, Bianca Debaets, Frank Koster, Marietje Schaak and Jörgen Gren. Over 100 directors and managers have already confirmed their presence to this ribbon cutting ceremony that will be held in our new offices in the Axa building.

266px-Alexander_de_croo_675 bianca-in-brussel frank marietjejorgen_gren

Join us on October 20th at 10AM to meet young data startups, talk to representatives of the academic world, share your ideas with the politics representatives that support us and discover our datascience training offering.

There are only a few more spaces left so please hurry and reserve your seat via our eventbrite page.

I’m looking forward to meeting you in our new offices soon,

Philippe Van Impe
asbl European Data Innovation Hub vzw 
Inspire – Innovate – Connect

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Training – Machine learning with R – September 28 & 29 – Brussels

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Next week Monday and Tuesday:

Join us for a 2 days Machine learning course using R. Special discounts apply, contact @pvanimpe for more details.

Please register and pay through Eventbrite

A must have skill for all datascientist

This course is a hands-on course covering the use of statistical machine learning methods available in R.

The following basic learning methods will be covered and used on common datasets.

  • classification trees (rpart)
  • feed-forward neural networks and multinomial regression
  • random forests
  • boosting for classification and regression
  • bagging for classification and regression
  • penalized regression modelling (lasso/ridge regularized generalized linear models)
  • model based recursive partitioning (trees with statistical models at the nodes)
  • training and evaluation will be done through the use of the caret and ROCR packages

Course duration: 2 days.

Business-Analytics-with-R

Instructor: Jan Wijfels, BNOSAC

jan wijffels Jan Wijffels is the founder ofwww.bnosac.be – a consultancy company specialised in statistical analysis and data mining. He holds a Master in Commercial Engineering, a MSc in Statistics and a Master in Artificial Intelligence and has been using R for 8 years, developing and deploying R-based solutions for clients in the private sector. He has developed and co-developed the R packages ETLUtils and ffbase.

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 →

Article – Fortune Ranks Top Companies Changing the World

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Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand challenges.

Join us:

Our community is driven by the doing-for-good initiative. This is why we have in the past supported and implemented  different data-4-good initiativessuch as the one we did for Médecins sans frontières. Not only are we planning to do another major data-4-good hackathon this year, we also want to continue our efforts in data-education and focus on helping young professionals to do an interesting traineeship in an innovative data environment. To manage all these activities we have founded the European Data Innovation Hub vzw/asbl, a non-for-profit organization based in Brussels.

Here is a nice article published this summer in Fortune showing how companies are forging ahead to tackle the world’s most intransigent problems. If your company wants to be part of this movement, you can become one of our Innovation Partners.

Philippe

Business-as-usual is changing. The conventional wisdom that capitalism comes at great cost to society is being challenged. Instead, we’ve observed that the most innovative companies are using those same market drivers – the ones that have until now been a cause of such criticism and skepticism –as drivers for positive change in the world.

Fortune’s new “Change the World” list contributes to this trend. As Fortune Editor Alan Murray explains, “It is meant to shine a spotlight on companies that have made significant progress addressing major social problems as a core part of their business strategy.” FSG and the Shared Value Initiative lent our expertise to help collect and vet nominations for the list.

check out the original movie here: http://for.tn/1hMVB0B

This is the first list of its kind in which companies are recognized – and competitively ranked – on business innovations that positively impact pressing social and environmental issues. The presence of such a list in the pages of Fortune is news itself as when we first wrote about shared value in 2011, companies creating shared value were more the exception than the rule. TheFortune “Change the World” List shows us that the concept of aligning business opportunity and social impact is moving into the mainstream.

On the “Change the World” list, you’ll find familiar companies that we’ve highlighted in the past as well as a few surprises – but to be clear, this is not a “good company” ranking. Murray puts it best: “We recognize these are large global companies with complex operations that may be ameliorating one great global problem even as they contribute to another.”

But one thing the “Change the World” companies all have in common is that they recognize the business value in addressing societal needs. In their quest for profits, they are driving innovations that improve health outcomes, make progress on climate change, provide better access to education, and create new economic opportunities for those in poverty. They realize that business can – and must – compete to change the world.

Which companies are changing the world? Find out who made the list and browse best practices on the Shared Value Initiative community.

Free Training – Python for Data Science – Brussels

In the past few years, Python has emerged as a solid platform for data science.   Couple a mature, clean and expressive language with powerful, fully-featured libraries for data wrangling and machine learning, and you’re set up for maximum productivity.  Easily ingest your data from practically anywhere using one of Python’s thousands of free libraries.  Effortlessly turn hundreds of convoluted lines of obscure model code into just a few lines of near-English prose.  Add a few annotations and get maximum performance without drowning in pools of unnecessary boilerplate code.  Present your results in beautiful living notebooks that seamlessly mix text, code and graphs.  Whether you do all your modeling in R, you’ve written nothing but Matlab since university, or you swear by C# or (gasp!) Java, discovering Python will be a wonderful experience.

In detail, we plan to cover the following points:

  • Quick history of Python and typical use cases
  • Key advantages and disadvantages of Python for data science
  • Ways to run python and write code
  • Quick tour of language
  • Showcase of useful language packages for data science: NumPy, Matplotlib, SciPy, Pandas, Scikit-learn, PySpark, PyHive.  Accessing RDBMSs
  • Writing efficient Python: Cython, Numba, SWIG
  • Pointers for further learning

Registration: http://www.meetup.com/Open-Data-Innovation-Training-Hub/events/225090704/

FullSizeRender (1)The course will be taught by Patrick Varilly of Data Minded.  Patrick fell in love with Python four years ago as a theoretical chemistry post-doc at Cambridge and has never looked back.  He has contributed to SciPy and used Python in wide-ranging settings, from scientific libraries to model proof-of-concepts to data backend pipelines.

Pizza will be provided courtesy of Data Minded.

Patrick is a co-worker at the European Data Innovation Hub. He has coached the Apache Spark MOOCs this summer and will be teaching a full series of Python course this fall.

More #datascience trainings in Brussels:

Why don’t you join one of our  #datascience trainings in order to sharpen your skills.

Special rates apply if you are a job seeker.

Here are some training highlights for the coming months:

Check out the full agenda here.

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
1,336 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

Event – SAPForum – Sept9 @Tour & Taxis, Brussels

Wednesday, Sep 9, 2015, 12:00 AM
5 Attending

Check out this Meetup Group →

Datascience Hackathon – Old School vs New School – Challenge 1: build a recommendation engine

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As a final exercise before the summer 2 teams will challenge each other and build the best recommendation model during a hackathon held in Brussels over the weekend of July 3,4 .

This is the first challenge where old school datascience experts will compete against New School big data science techniques.

Our first challenge is about building a recommendation engine on subscribers data from 4UCampus.

The challenge from 4UCampus:

This company is facilitating subscriptions for students and academic personnel at discounted rates.

Over 100k customers have different subscriptions out of 130 possibilities.

Based on historic data of the past 12 years the teams will work on building a recommendation engine.

Registration:

Please useoureventbrite page to register for this hackathon.

bdsc-hackathon.eventbrite.com

The presentation of the data:

Presentation of the data that will be used in our First Hackathon

Monday, Jun 22, 2015, 7:00 PM

No location yet.

14 Fast learners Attending

We have prepared a nice dataset for you.During this hackathon the Classics vs Bigdata approaches will be used to analyse the dataset.We expect that teams will build for example a recommendation engine in batch and/or realtime.

Check out this Meetup →

The hackathon:

Hackathon – Old School vs New School – Challenge 1: build recommendation engine

Friday, Jul 3, 2015, 7:00 PM

No location yet.

7 Fast learners Attending

We have prepared a nice dataset for you.During this hackathon the Classics vs Bigdata approaches will be used to analyse the dataset.We expect that teams will build for example a recommendation engine in batch and/or realtime.

Check out this Meetup →

Training – Business Analytics in R – Starters Track – 3days

business-analytics-with-r-online-training

I’m please to announce that we will cooperate with BNOSAC to allow you to benefit from R-training in the Hub.

The starters track training will start in September:

R for starters:

duration: 2 days

What is covered in this module:

  • What is R, packages available (CRAN, R-Forge, …), R documentation search, finding help, RStudio editor, syntax  Data types (numeric/character/factor/logicals/NA/Dates/Times)
  • Data structures (vector/data.frame/matrix/lists and standard operations on these)
  • Saving (RData) & importing data from flat files, csv, Excel, Oracle, MS SQL Server, SAS, SPSS
  • Creating functions, data manipulation (subsetting, adding variables, ifelse, control flow, recoding, rbind, cbind) and aggregating and reshaping
  • Plotting in R using base and lattice functionality (dot plots, barcharts, graphical parameters, legends, devices)
  • Basic statistics in R (mean, variance, crosstabs, quantile, correlation, distributions, densities, histograms, boxplot, t-tests, wilcoxon test, non-parametric tests)

During the course, you will need to do exercises, so bring your laptop.

Introduction to R programming – 2 days

Monday, Sep 7, 2015, 9:00 AM

European Data Innovation Hub
Boulevard du Souverain 23 Brussels, BE

2 Fast learners Attending

R for starters: duration: 2 daysWhat is covered in this module:• What is R, packages available (CRAN, R-Forge, …), R documentation search, finding help, RStudio editor, syntax  Data types (numeric/character/factor/logicals/NA/Dates/Times)• Data structures (vector/data.frame/matrix/lists and standard operations on these)• Saving (RData) & imp…

Check out this Meetup →

Common data manipulation for R programmers:

duration: 1 day

This module allows you to be a better programmer by writing your own functions, getting acquainted with commonly used R functions for basic data manipulation and the R object oriented programming environment.

The following is covered in this module:

  • with, within, by, apply family of functions & split-apply-combine strategy
  • vectorisation, parallel execution of code
  • data.table – fast group by, joining and data.table programming tricks
  • basic regular expressions
  • writing your own functions
  • do.call
  • reshaping from wide to long format
  • environments
  • S3 classes, generics and basic S4 methodology
  • handling of errors and exceptions, debugging code

Be prepared on some tough exercises, so bring your laptop.

Common data manipulation for R programmers – 1 day

Monday, Sep 21, 2015, 9:00 AM

European Data Innovation Hub
Boulevard du Souverain 23 Brussels, BE

2 Fast learners Attending

duration: 1 dayThis module allows you to be a better programmer by writing your own functions, getting acquainted with commonly used R functions for basic data manipulation and the R object oriented programming environment.The following is covered in this module:• with, within, by, apply family of functions & split-apply-combine strategy• vecto…

Check out this Meetup →

List of other available courses:

  • R programming
  • R for starters
  • Common data manipulation for R programmers
  • Reporting with R
  • Creating R packages and R repositories
  • Managing R processes
  • Using SVN/git with RStudio
  • Data connectivity using R
  • Integration of R into web applications – R analytics
  • Statistical Machine Learning with R
  • Text mining with R
  • Applied Spatial modelling with R – Oracle R Enterprise
  • ROracle and Oracle R Enterprise (ORE) – transparancy layer
  • Oracle R Enterprise – advanced data manipulation
  • Data mining models inside Oracle R Enterprise (ORE) and Oracle Data Mining (ODM)

About European Data Innovation Hub:

The European Data Innovation Hub aims at facilitating information sharing.

Next to hands-on workshops, hackathons and coached MOOCS we are also facilitating training of data science related topics.These training are always offered in cooperation with our members. If you want us to facilitate your training please send email to training@dihub.eu

If you want to have an overview of the training we have scheduled please follow this link.

About BNOSAC:

BNOSAC, is a Belgium consultancy network specialized in open source analytical intelligence. We gather a group of dedicated open source software engineers with a focus on data mining, business intelligence, statistical engineering and advanced artificial intelligence.

We are experts in using analytical open source software and provide expertise, consultancy and training for the use of well-established open source tools like R, Python, Pentaho, PostgreSQL, OpenBugs, PostGIS and Mapserver in your organisation.