Training – Introduction to IBM Bluemix – FEB 9 18:30


Do more with rich, integrated cloud databases & analytic services


The participants to the Manufacturing Sustainability Hackathon – P&G  will benefit from a free introduction to the IBM Bluemix environment.

Register Here for the workshop on February 9th in the HUB.


About the P&G Hackathon – Manufacturing Sustainability

We are kicking this Manufacturing Sustainability Hackathon on February 26th.

The plan is to use one year of manufacturing data and work towards a more sustainable process. After the introduction on February 26th , we will meet 4 evenings to work on the data. Finalists will present their results on #DIS2016 on March 23rd.

About IBM Bluemix:

IBM Bluemix is an open-standards, cloud platform for building, running, and managing applications. With Bluemix, developers can focus on building excellent user experiences with flexible compute options, choice of DevOps tooling, and a powerful set of IBM and third-party APIs and services.






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


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 →