Job – Junior Data Scientist

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Are you pursuing a career in data science?

We have a great opportunity for you: an intensive training program combined with interesting job opportunities!

Interested? Check out http://di-academy.com/bootcamp/ follow the link to our datascience survey and send your cv to training@di-academy.com

Once selected, you’ll be invited for the intake event that will take place in Brussels this summer.

Hope to see you there,

Nele & Philippe

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.

 

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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.

 

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

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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.

 

 

 

 

 

First 100 Days as Head of Data Scientists

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Trainer: Martine George, PhD.
Duration: 12/5 Pm from 14:00 to 18:00
Contact: martine@mgholistic.com

Price: 350,- excl VAT – Register here


Context

This half day seminar is dedicated to the creation and the development of a team of data scientists.

Imagine that you become Head of a team of Data scientists , what would you do during your first 100 days in this appointment ?

Audience

This module is designed specifically to recently appointed managers, head of data scientists eager to develop their ability to create and grow an effective and sustainable team of data scientists.

Objectives

The objectives of this seminar is to share observations, experiences, some tips and tricks to develop and grow teams of analytics professionals through the different lenses of a data scientist, a senior manager, a talent development director and an executive coach.

Training Content

This seminar will cover 8 topics such as sponsorship, analytics professional talent management, actionability and creating value, internal analytics communities, external partnership, ….

The content of this seminar will be a combination of practical experiences, stories and anecdotes, peers learning and self-reflection.

About the Trainer

Martine George holds an MBA and a PhD in physical sciences. She has over 25 years of professional experience, including 15 spent developing business analytics teams within large organizations from different industries. She is Professor of Management Practice at Solvay Brussels School of Management & Economics and the Talent Development Director of Accenture Chair in Strategic Business Analytics at ESSEC Business School, Paris. Passionate about developing talent and organizations in business analytics, she is also ICF certified coach, facilitator, trainer and consultant in cultural transformation of organizations.

Free Hands-on Training – Workshop – Elastic Search on Open Data – Dec 2nd at 18:30

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Here is the training on Elastic that Fabien promissed us. In order to make it real we decided to do a hands-on workshop using Open datasets made in Belgium. The number of participants will be limited to 25.

What:

Hands-on Workshop

Using open Belgian data-sets, elastic search and kibana to create dashboards and analytic views.

Target audience:

Everyone with a computer 🙂 .

No real coding during the exercise.

No downloads, just using web interfaces.

Practicalities:

  • When: Wednesday December 2nd 2015 at 18:30
  • Where: European Data Innovation Hub, Vorstlaan 23 in Brussels
  • Registration: please use eventbrite to register and to collect your ticket.
  • Duration: 2.5 hours starting at 18:30 sharp.

Motivation

Learn how to exploit open data set with Elastic search and Kibana.

Overview:

We will download several json datasets from open data (http://data.gov.be/)

Feed elastic with logstash.

Create amazing dashboard with kibana.

Execute complex query (Full text / geo aggregation)

Topics

  • Found Usage.
  • LogstashLoad data in Elastic
  • Elastic search: Search and analyze data in real time. Learn about filters and queries in an inverted index, relevance score calculations, and more.
  • KibanaSee the Value in Your Data
    • Flexible analytics and visualization platform
    • Real-time summary and charting of streaming data
    • Intuitive interface for a variety of users
    • Instant sharing and embedding of dashboards

Prerequisite:

Each participants must be a member of the Brussels Data Science Community. join here

The participant must have his PC/Mac/Linux machine.

You need to register upfront to “Found” , the Elastic cloud environment.

https://www.elastic.co/found/signup    Free trial 14 days

About the trainer:

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Training – Hands-on with R Shiny – November 26th

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Shiny lets you create nice reactive web applications on top of R computations without any web development skills required. In this two-days Shiny course you will create your own sophisticated application and learn how to deploy it.

We start off easy by learning how to control the layout of your application and how to add widgets. Next up we will learn about reactivity. What options does your application have to react on user input: immediately or via submit buttons. During the course, applications will get more sophisticated by adding entire R scripts and input data. You will also learn how to return results to your users: displaying results, downloading pdf’s or other file formats, mailing results, … Moreover we will go into detail on how to interact with the results. For example via hovering over or clicking on plots.

At the end you will learn how to deploy your web application on shinyapps.io as well as on your own server.

logoThis training event is organised in collaboration with Oak3 (www.oak3.be). The Oak3 Academy is an IT Learning Center providing hands-on, intensive training and coaching to help students develop the skills they need for a successful career as an Information Technology Professional or as a knowledge worker (end-user of software). Our goal is to provide the highest quality training and knowledge transfer that enables a person to start or enhance his or her career as an IT professional or knowledge worker, in a short period of time. We therefore offer knowledge assimilation, facilitate expertise transfer and provide a rewarding learning experience. Our training solutions are designed to help students learn faster, master the latest information technologies and perform smarter.

Prerequisites: Previous experience with R is required, no HTML or CSS knowledge is needed.

When: Thursday, 26 November 2015 at 9:00 AM Friday, 27 November 2015 at 5:00 PM (CET)

Where: European Data Innovation Hub – 23 Vorstlaan Watermaal-Bosvoorde, Brussel 1170

Registration: Eventbrite

Training – Hands-on – Spark Streaming – Brussels – December 1st

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In this one-day Spark Streaming course you will learn setting up your very own Spark Streaming applications, and do real-time data processing and analytics. You will start with setting up the data ingestion from HDFS, Kafka, and even Twitter.

Next up you will learn about the benefits from using one integrated framework for both batch and streaming processing. You will combine streaming and historical data, in order to create valuable applications.

You will learn how fault-tolerance is built into Spark Streaming, and might even get a hint of how to combine it with the Spark MLlib machine learning library.

This training evelogont is organised in collaboraton with Oak3 (http://www.oak3.be). The Oak3 Academy is an IT Learning Center providing hands-on, intensive training and coaching to help students develop the skills they need for a successful career as an Information Technology Professional or as a knowledge worker (end-user of software). Our goal is to provide the highest quality training and knowledge transfer that enables a person to start or enhance his or her career as an IT professional or knowledge worker, in a short period of time. We therefore offer knowledge assimilation, facilitate expertise transfer and provide a rewarding learning experience. Our training solutions are designed to help students learn faster, master the latest information technologies and perform smarter.

Prerequisites: Previous experience with programming for Apache Spark in Scala is required.

When: 1 December 2015 from 9:00 AM to 5:00 PM (CET)

Where: European Data Innovation Hub – 23 Vorstlaan Watermaal-Bosvoorde, Brussel 1170
BE

Registration: through Eventbrite

The essence of Predictive Analytics for Managers – Executive Training

Creating more business value from investments in Big Data and Predictive Analytics through better project definition, project management and better usage of Predictive Analytics projects.

Target audience

Managers of analytical teams, Managers of functional departments (marketing, risk, operations, HR,…), Project managers, CxO.

Details

  • Duration: One afternoon workshop (4h):
    • December 3rd, 2015
  • Location: European Data Innovation Hub @ AXA, Vorstlaan 23, 1170 Brussel
  • Price: 570€ per manager
  • Limited from 8 – 12 participants

Registration:

Please register using Eventbrite following this link.

Motivation:

Fueled by the energy around Big Data projects, an increasing number of managers are attracted to the domain of Big Data and advanced analytics. When successfully applied, analytics provides the key to turn data into big value. Typical goals of such high-impact projects involve:

(i) increase targeted marketing success by predicting response

(ii) increase marketing relevance by offering the right product to the right client,

(iii) decrease risk exposure by predicting credit or fraud risk,

(iv) increase process efficiency,

(v) retain crucial staff members, etc.

Overview:

This training provides a backbone for managing projects in Predictive Analytics that maximally impact the organisation. Put differently, in this workshop we ensure participants reap the maximum return on their analytical investments. Additionally, this training establishes the foundation for fruitful collaboration between analysts, their peers and decision makers.

The workshop is designed as an interactive learning experience packed with best practices illustrated with real domain experience.

Learning objectives:

After the training, participants will be able to define and manage developments in Predictive Analytics. In practice participants will be able to

  • Explain the crucial phases needed to engage in projects in predictive analytics
  • Define a project in predictive analytics in detail, using a concise project definition checklist
  • Understand the essential principles for predictive analytics and why they matter to management
  • Understand the requirements and limitations of predictive analytics
  • Fully understand the output of predictive analytics to increase their impact on the organizational goals

 

Prerequisites:

Before the start of the first session, participants should attempt to define a practical and relevant project within their organisation. At completion of the workshop, it is the aim that managers will be able to further define and understand the steps needed to manage this challenge to success.

 Geert Verstraeten

About the trainer:

Geert Verstraeten (PhD) is a dynamic trainer with a solid background both in predictive analytics and in professional training. Geert has 14 years of experience in building predictive models for organisations in a wide array of industries. Additionally, he has 14 years of academic and industry experience
in training and coaching managers and analysts to succeed with Predictve Analytics. Since 2006, he is managing partner at Python Predictions (www.pythonpredictions.com), a Brussels-based niche player in Predictive Analytics, and was involved in building analytical communities both in Belgium and abroad. Geert is a frequent speaker at academic and business conferences in analytics. Since 2014, Geert is a certified professional trainer.

Certification:

Attendees receive an electronic version of the handouts and a proof of participation at the conclusion of the workshop.

Training – Advanced analytics for quality improvement and operational efficiency

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Analytics for industrial operations

How to achieve lean operations using data analytics?

Target audience

Engineers, Operations Directors, Plant Managers, Energy Managers, Analytical teams.

Details

  • Duration: One day workshop (8h):
    • December 2nd 2015
  • Location: European Data Innovation Hub @ AXA, Vorstlaan 23, 1170 Brussels
  • Price: 300€ per participant
  • Limited for 8-12 participants

Registration

Please register using Eventbrite following this link

Motivation

Today the manufacturing industry produces huge amounts of data on a daily basis.

“The role of data in manufacturing has traditionally been understated. Manufacturing generates about a third of all data today, and this is certainly going to increase significantly in the future. Data forms the backbone of all Digital Manufacturing technologies, which will be the centerpiece of the strategy for advancing Manufacturing in the 21st century.” (Source: Predictive Analytics World).

Concepts such as Industry 4.0 and Industrial Internet of Things are only a few examples that can lead to real added value and significant savings. In many of today’s organizations highly advanced technology is working alongside assets that have been in use for many years, but all of them are supporting different data types, formats and frequencies. These large amounts of manufacturing data generated by machines and equipments therefore often stay unused. What if this cemetery of data was actually a real goldmine, which could conceal so many opportunities for your company? What if, from your flaws, you could learn lessons and forecast the future? And how can gained knowledge be easily shared with the rest of the organization? Analytics can support these industrial companies and turns this data into valuable pieces of information (actionable intelligence). This training provides a guideline how industrial organizations can use advanced analytics to increase performance and lower their operational costs. Besides this the course will also increase the understanding and collaboration of data analysts and business users to adopt and deploy seamlessly predictive analytics and achieve lean operations.

Overview

The management of production processes can get complicated because of the subtle interaction between the various manufacturing steps and the influence of many parameters. Maintaining the process quality and stability is a real challenge for all the industries. Analytics can bring an added value and help organizations to drive new efficiencies.

  • explore variability of past operations
  • search for anomalous events and correlations (detect abnormal patterns)
  • diagnose root causes of drifts
  • identify patterns
  • predict and optimize performance
  • optimize energy use
  • lower costs

In this training we will show you how advanced analytics can accelerate diagnostics and improve operations performance.

Learning objectives

After the training participants will be able to define and understand an analytics project:

  • Have a more detailed understanding of analytics in an industrial context
  • Understand and select the correct methods and techniques
  • Explain what a model is
  • Define an analytics project workflow

Topics

  • Introduction to data analytics/data mining in industry
  • Analytics and continuous improvement (BI, Six Sigma, TQM, …)
  • Data analytics process and applications
  • Data analytics techniques: Clustering, Classification, Dependency modelling, Summarization, Regression, Case-based learning, Time-series analysis, …
  • What is a model?
  • Method selection
  • Challenges in importing and pre-processing data
  • DATAmaestro cloud analytics (navigating, upload and merge data via DATAserver, managing your data, performing data exploration)
  • Hybrid approach
    • Explorative methods (histograms, dendrograms, scatter plots, curves, …)
    • Learning methods (decision trees, ensemble trees, multi-linear regression, neural networks, K nearest neighbors, …)
  • Project workflow using a practical use case from a manufacturing plant (loading the data, creating attributes and object sets, creating graphs, segmentation, predictive analytics, modeling, implementing the model, creating functions, reporting, …)
  • Conclusion

Prerequisites

During the course we will use a practical project. You are also free to define your own project from your organization and bring relevant data. This could be for instance a project related to product quality, energy, defect rates, optimizing the process, … It is also recommended to bring your own laptop.

About the trainer

Dominique ArchambeauDominique Archambeau is an electrical engineer and has been a research engineer and assistant at the applied acoustics department of the University of Liège, where he developed expertise in digital signal processing field (audio and video signals), statistics and data mining area. He is a founding partner of PEPITe (www.pepite.be), a Liège based player in industrial applications for data mining, machine learning and advanced Big Data analytics, and one of PEPITe’s senior analysts. Throughout the years Dominique has worked with many of our clients on their data analytics challenges and also contributes both to client opportunities, long-term R&D projects, proof of concepts and training and support activities. During the analytics courses his lessons and instructions are easy to understand and can be implemented quickly. His approach to working with clients moves beyond simple teaching though, as he gets very “hands-on” to improve your data analytics skills. Besides that Dominique is a big believer in sharing ideas with colleagues and clients, seeking their insights and feedback.

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

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