Coached Mooc – Introduction to Big Data with Apache Spark

mooc coaching  spark-logo

What

  • Learn how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data.
  • Study online but work in group
  • Get help from a local expert

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 course here
  2. Join the meetup group here

About this course

Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. This course will attempt to articulate the expected output of Data Scientists and then teach students how to use PySpark (part of Apache Spark) to deliver against these expectations. The course assignments include Log Mining, Textual Entity Recognition, Collaborative Filtering exercises that teach students how to manipulate data sets using parallel processing with PySpark.

This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (part of Apache Spark), but previous experience with Spark or distributed computing is NOT required. Students should take this Python mini-quiz before the course and take this Python mini-course if they need to learn Python or refresh their Python knowledge.

What you’ll learn

  • Learn how to use Apache Spark to perform data analysis
  • How to use parallel programming to explore data sets
  • Apply Log Mining, Textual Entity Recognition and Collaborative Filtering to real world data questions
  • Prepare for the Spark Certified Developer exam

Meet the online instructor:

bio for Anthony D. Joseph

Anthony D. Joseph

Meet the coach:

Kris Peeters

Kris Peeters from Dataminded

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
1,239 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

Launch MOOC Coaching activities, First course is the Machine…

Thursday, May 28, 2015, 7:00 PM
15 Attending

Check out this Meetup Group →

Job – Ordina – Data Science Kickstarter

logo_oranje_cmyk

Here is a nice opportunity for young professionals who want to become datascientists.

Alexander Van den Bulck, Data science job, Alexander Van den Bulck

Hi Philippe,

First of all, thanks for all the work you’ve guys have put into the Brussels Data Science Community. I love the meetups. I find them so much more informative than commercial (and not free) events/meetups.

At the Data Science for Banking meetup you mentioned that we can add Data Science job openings to the group. I’ve already added it to the website but is it also possible to add our job opening to the linkedin group?

https://www.linkedin.com/jobs2/view/51911976

We’re hiring master students to put through an intense data science program (8 weeks) before putting them on data science projects for our customers. We’re doing this because of the gap between supply and demand of data scientists in Belgium.

Greetings,
Alexander

—————————–

Ordina VisionWorks biedt een aantal mooie opportuniteiten voor toekomstige en beginnende Data Scientists. Je zal deel uitmaken van een innovatief en snel groeiend team dat nauw samenwerkt met één van de marktleiders op vlak van big data. De geselecteerde kandidaten zullen deel uitmaken van het VisionWorks BI consulting team, en worden belangrijke spelers in de verdere ontwikkeling van het VisionWorks Data Science Competence Center.

 

VisionWorks is de voorbije jaren, met 175 BI consultants op de Benelux markt, uitgegroeid tot een belangrijke speler op het vlak van Business Intelligence. Onze club draait goed, met verschillende prachtige referenties. We zijn een open club.

Software craftsmenship en ondernemerschap vinden we belangrijk, we zijn niet bang om te investeren in een community van professionals. Intern zijn we georganiseerd om snel te kunnen schakelen: plat, veel ruimte voor initiatief, doorgedreven distributie van verantwoordelijkheid. Zorgen dat het team goed zit. De mouwen opgestroopt. Dat soort aanpak.

VisionWorks realiseert elk jaar heel wat interessante en uitdagende projecten. Om het toenemend aantal projecten tot een goed einde te brengen, starten wij in augustus met een “Data Science Kickstart@Ordina”. 3 maanden lang word je ondergedompeld in trainingen, behaal je certificaten en doe je hands-on ervaring op. Leren, net zo lang tot je klaar bent voor de volgende stap. “Er helemaal voor gaan”, dat is de Ordina-WAY!

Onze senior consultants zullen je de nodige kennis bijbrengen om uit te kunnen groeien tot expert Data Scientist. Je wordt ondergedompeld in de wereld van de statistiek, programmeren, databases, machine learning, Big Data, … aangevuld met Data Science technologieën en producten: R, Shiny, knitr, SPSS, Hadoop, … Maar ook soft skills zoals presentatie & professionele adviesvaardigheden komen aan bod.

Onze senior consultants worden jouw mentor en zij ondersteunen je bij de verdere uitbouw van je carrière. Door deze aanpak krijg je als junior van bij de start de juiste professionele coaching om jezelf tot een hoger niveau te brengen. Interesse in een jarenlange samenwerking? Aarzel dan niet om ons te contacteren.

Desired Skills and Experience

  • Je hebt net je master behaald in een vakgebied waar statistiek, programmeren en/of zakelijk inzicht aan bod kwam
  • Analyseren, capteren en visualiseren van data is voor jou een echte passie
  • Je beschikt over een groot analytisch en “lerend” vermogen in combinatie met goede communicatieve vaardigheden.
  • Je werkt nauwkeurig, bent gedreven, en oog voor detail vind je vanzelfsprekend
  • Je bent flexibel, stressbestendig, creatief en je denkt graag outside-the-box.
  • Je beschikt over een professionele houding en hebt de absolute wil om te slagen
  • Je spreekt vlot Nederlands en Engels. Een aardig mondje Frans praten is mooi meegenomen.

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

Here is the link to the original job add.

Please Apply Online

 

 

Job – KBC- Data Miner – Leuven

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Waarvoor ben je verantwoordelijk? 

De dienst Cliëntenanalyse heeft als doelstelling om continu data-gebaseerde inzichten te genereren ter ondersteuning van het commercieel beleid en de commerciële actievoering. Focus gaat daarbij naar klantinzichten: inzicht in de klant, zijn gedrag, zijn behoeften, (potentiële) waarde en verwachtingen in zijn relatie met KBC als bank-verzekeraar.  Deze kennis en inzichten worden opgebouwd via data analyse en data mining. Onze positionering binnen Strategische Marketing/Communicatie laat toe om deze data-gebaseerde klantinzichten te laten aansluiten met concurrentie-analyse, marktonderzoek en klantbevragingen – andere activiteiten binnen Strategische Marketing/Communicatie – om zo geïntegreerde antwoorden te bieden op commerciële beleidsvraagstukken.

Onze dienst is op zoek naar een dataminer met sterke analytische competenties en relevante data-analyse en datamining ervaring (bij voorkeur in SAS-omgeving en/of Qlikview) om onze activiteiten rond het bouwen/onderhouden van voorspellende modellen (propensity-to-buy, potentieel, …) te versterken en de kwaliteit van onze analyses te garanderen (statistische vergelijkingen, relevantie van correlaties inschatten, clusteranalyse, etc.). 

Wat verwachten we van jou?

Je opdracht bestaat erin om data-analyse en datamining-vraagstukken te behandelen ter ondersteuning van het commercieel beleid en de commerciële actievoering. Je doet dit zowel op vraag (reactief) als op eigen initiatief (proactief).

Je typische klanten zijn commerciële beleidsverantwoordelijken binnen Marketing/Communicatie en Sales (segmentmanagers, marketing managers).

De analyse- en datamining-vraagstukken die je opneemt kennen typisch een brede insteek (socio-demo, segmentatie, productbezit, productgebruik, kanaalgebruik, …).

In functie daarvan bouw je actief kennis op over:

  • de waaier aan interne en externe data waarover KBC beschikt,
  • de data-analyse en datamining producten en technieken binnen Cliëntenanalyse,
  • de marketing en sales activiteiten, processen, producten, kanalen binnen KBC.

Inzake datamining zal je geconfronteerd worden met propensity-to-buy modellering en potentieel-inschatting, maar ook met nieuwe experimenten waarbij je samenwerkt met andere analyse- en datamining-cellen.

Je slaagt erin om de resultaten van je analyses te vertalen en te communiceren in aanbevelingen met impact. In functie daarvan bouw je een netwerk uit van stakeholders binnen Marketing, Communicatie, Sales en Distributie.

Vanuit de ervaring die je opbouwt, formuleer je voorstellen voor de verdere professionalisering van de KBC data-omgeving voor analyse en werk je mee aan projecten om dit te realiseren. Je blijft op de hoogte van evoluties en nieuw technologieën inzake (big) data, analyse en datamining.

Waar ga je werken?

Je plaats van tewerkstelling is Leuven.

Jouw troeven?

 Je diploma:

Je hebt een master diploma in een sterk kwantitatieve richting (handelsingenieur, informatica, toegepaste wiskunde, artificiële intelligentie, …). 

Je ervaring

  • Je hebt minimum 5 jaar ervaring op het vlak van data-analyse.
  • Relevante werkervaring in datamining is vereist.
  • Werkervaring in een SAS-omgeving (en met SAS Enterprise Miner) is een sterk pluspunt, evenals ervaring met Qlikview.
  • Je past vlot basistechnieken uit de statistiek toe en clusteranalyse is jou niet vreemd. Domeinkennis van Retailbankieren (netwerk, producten) is een pluspunt.

 

Je profiel

  • Je beschikt over sterke analyse-vaardigheden en kan een probleem zowel technisch als inhoudelijk bekijken en doorgronden.
  • Kennis van het Nederlands is vereist.
  • Je bent klantgericht.
  • Je bruist van ambitie en wil meewerken aan de verdere uitbouw van ons bedrijf tot een toonaangevende, klantgerichte organisatie in de financiële sector.
  • Je bent zelfbewust en je bent in staat om je bevindingen helder te communiceren als een echte storyteller.
  • Je communiceert je verhaal niet enkel via woorden maar ook via state-of-the art datavisualisaties.
  • Je bent proactief en gaat spontaan op zoek naar verbeteringen.
  • Je bent een teamplayer. 

Solliciteer vandaag nog!

Interesse in deze vacature? Klik dan hier.

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

Here is the link to the original job add.

Please Apply Online

 

 

The essence of Predictive Analytics for Managers – Training – Oct 1st 2015 – @Data Innovation Hub

ranking octopus

The essence of Predictive Analytics for Managers

Defining and managing projects in predictive analytics

Target audience

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

Details

  • Duration: One afternoon workshop (4h):
    • October 1st, 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 analytics. When successfully applied, analytics provides the key to turn data into big value. But how do we ensure organisations reap the maximum return on their investments? How to increase the impact advanced analytical teams have on their organisations? This training provides a backbone for managing projects in Predictive Analytics that maximally impact the organisation. Additionally, this training establishes the foundation for fruitful collaboration between analysts, their peers and decision makers.

Overview

Applying predictive analytics has the potential to bring a huge impact to an organisation. Typical goals of such high-impact projects involve:

  • (i) increase targeted marketing success by predicting response
  • (ii) increase marketing relevance by offer personalisation,
  • (iii) decrease risk exposure by predicting credit or fraud risk,
  • (iv) increase process efficiency,
  • (v) retain crucial staff members, etc.

In this training, we focus on the key elements needed for managers to obtain success through predictive analytics.
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:

  • define a project in predictive analytics in detail & understand:
    • a simple process useful for managing the development of predictive models
    • the intuition of each step in the development process
    • the underlying principles for predictive analytics
    • the requirements and limitations of predictive analytics
    • how to manage and increase usage of predictive analytics

Topics

  1. what is predictive analytics
  2. basic underlying principles for predictive analytics
  3. requirements for predictive analytics
  4. limitations of predictive analytics
  5. a reliable process for managing and building predictive models

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.

About the trainer

Geert Verstraeten

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 (www.BAQMaR.eu) and abroad (www.pawcon.com/london/). Geert is a frequent speaker at academic and business conferences in analytics. Since 2014, Geert is a certified professional trainer (http://www.hrdacademy.be/).

Certification

brasserie octopus

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

More information


Here is the link to a nice write up about this executive class.

Video

Coached Mooc opportunity – Learn Apache Spark this Summer with edX

mooc coachingspark-logoedX_Logo_Col_RGB_FINAL

This would fit perfectly in our coached Moocs sessions.

Data Science 101

edX has just announced a new series of Big Data courses. The series consists of 2 courses focused around Apache Spark. If you are not familiar with Spark, it is a very fast engine for large-scale data processing. It claims to perform up to 100 times faster than hadoop. Here are the 2 courses:

  1. Introduction to Big Data with Apache Spark
  2. Scalable Machine Learning

The first course starts June 1, 2015, and lasts four weeks. The second course starts in late June and lasts five weeks.

The courses are free but verifiable certificates can be purchased for $50 per course.

If you have been hoping to learn Spark, this might be just the opportunity your were waiting for.

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Meetup – Data Sciences and Banking – VUBrussels – Wednesday 20/5

meetup annuncement

Join over 200 professionals this Wednesday (20/5) for your monthly Meetup – VUB – Aula QD – 18:30.

Data Science in the Banking world

Bart Hamers has composed a splendid agenda for this meetup:

We will start at 18:30 with an activity update:

  • 10 weeks applied datascience bootcamp starting in October,
  • our visit to Strata London,
  • our new 400m² office Space and training centre,
  • about our team winning 3rd prize in the epilepsy hackathon organized by UCB
  • more about the success of our our Mooc coaching activities,
  • something about our coming trip to California  and much more …
  • Call for candidates to set up a management team for next season
  • Call for presentation for next Meetup about privacy, security etc …

Followed by Presentations from:

• Introduction by Bart Hamers (Dexia), Data Sciences in Banking

KUL: Bart Baesens/Véronique Van Vlasselaer: Gotch’all! Advanced Network Analysis for Detecting Groups of Fraud

• Euroclear : more details about the  projects presented during the Data Innovation Summit

• ING : Data Science and (Advanced) Predictive Analytics @ ING

•  Data Science Governance, my 6 principles. Bart Hamers

Open presentation:

• Belgian startup track: Presentation of Data Camp

• Any member is welcome to present a topic , share valuable insight at the end of each meetup.

Networking:

And our usual networking sessions will be held in the Kulturkaffee.

See you this Wednesday at the VUB !

Registrations:

  • The meetups of the Brussels Data Science Community are free for our members.
  • You can join our Linkedin Group here.
  • Registration is done on our meetup page here.

Data Science in the Banking world

Wednesday, May 20, 2015, 6:30 PM

VUB – Aula QD
Pleinlaan 2B – 1050, Brussels Brussels, BE

209 Business & Data Science pro’s Attending

Data Science in the Banking worldWe have a splendid agenda:Activity update:• about the 10 weeks bootcamp in October, about our visit to Strata London, about our new office Space and training centre, about winning 3rd prize in the epilepsy hackathon organized by UCB, about the success of our our Mooc coaching activities, about our coming trip to …

Check out this Meetup →

Interviews with Data Scientists – The collection – Peadar Coyle

Excellent set of interviews with Data Science professionals by Peadar Coyle.

Models are illuminating and wrong

In the last year or so I’ve put together a collection of interviews with Data Scientists.

Here is a list of them

  • Thomas Levi – Plenty of Fish an Online Dating Website
  • James Long – A data artisan with experience in Re-insurance
  • Radim Rehurek – A data science and engineering consultant famous for the Gensim Topic Modelling library
  • Ignacio Elola – The data guru at Import.io a platform for enabling easy access to web data.
  • Eddie Bell – Lead Data Scientist at Lyst – a Fashion recommendation website

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New Meetup group created: StreamProcessing.be presenting on 27/5 Azure Stream Analytics and ML, Google Cloud DataFlow, Amazon AWS ML

  • Program:

    * 18:30 – 19:00 : Welcome (drinks and sandwiches)
    * 19:00 – 19:10 : Introduction: StreamProcessing.be (Peter)
    * 19:10 – 19:45 : Azure Stream Analytics and ML (Jan)
    * 19:45 – 20:20 : Google Cloud DataFlow (Alex)
    * 20:20 – 20:55 : Amazon AWS ML (Nils and Frederik)
    * 20:55 – 22:00 : beers (closing doors at 22:00)

    Summaries:

    Introduction: StreamProcessing.be

    Peter Vandenabeele

    Why Stream Processing ?

    Speaker: Peter Vandenabeele

    Deeply interested in distributed processing, Big Data, Real-time. twitter @peter_v

    Azure Stream Analytics and Machine Learning

    Jan Tielens

    Azure Stream Analytics is a real-time stream processing engine in the cloud that helps uncover insights from devices, sensors, infrastructure, and applications. In this session you’ll get to know this service and see it in action in some demos. Once you’ve processed your data stream, you can gain insights from it using various techniques and one of them is Machine Learning. In this session we’ll also introduce this service briefly and show how easy it for all data scientist skill levels, from setting up with only a web browser, to using drag and drop gestures and simple data flow graphs to set up experiments.

    Speaker: Jan Tielens

    After several years as a Microsoft Most Valuable Professional (MVP) for SharePoint Server, Jan joined Microsoft as a Technology Advisor in the collaboration and social space. Now he’s working for Microsoft as a Technical Evangelist focusing on everything related to apps for Windows, Windows Phone and Azure. Jan is located in Belgium, and you can follow him on Twitter at http://twitter.com/jantielens.

    Google Cloud DataFlow

    Alex Van Boxel

    Google Cloud Dataflow enables reliable execution for large-scale data processing with unified programming primitives for both batch and stream-based data analysis. As a managed service, Cloud Dataflow fully manages the lifecycle of required compute resources. It can horizontally auto-scale compute resources to achieve the needed throughput level and can automatically re-shard work to optimize resource utilization.

    We’ll present the open source Java-based Cloud Dataflow SDK. This SDK allows developers to benefit from the productivity of writing simple and extensible data processing pipelines that can describe both stream and batch processing tasks.

    Speaker: Alex Van Boxel

    Alex is a technology enthusiast and works as Software Architect at Vente-Exclusive.com. He has an R&D past at Alcatel-Lucent and Progress Software. You can follow him on twitter @alexvb or plus +AlexVanBoxel.
    Amazon AWS Machine Learning

    Nils De Moor and Frederik Denkens

    In this talk we will take a peek under the covers of Amazon Machine Learning, a new tool under the umbrella of AWS. We’ll introduce you on how to use ML to build predictive applications by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available, without having to implement custom prediction generation code or manage any infrastructure.To be completed

    Speakers: Nils De Moor and Frederik Denkens

    Nils is CTO at Woorank, a Belgian SaaS-startup that builds reporting tools for digital marketing agencies to follow the movement of a brand on the web and social networks. By fetching and processing millions of data points every day, he developed a passion for automating, scaling and distributing large scale applications.

    Frederik: TBD

Azure Stream Analytics and ML, Google Cloud DataFlow, Amazon AWS ML

Wednesday, May 27, 2015, 6:30 PM

Microsoft Belux
Leonardo Da Vincilaan 3 Zaventem, BE

50 Streamers Attending

Program:* 18:30 – 19:00 : Welcome (drinks and sandwiches) * 19:00 – 19:10 : Introduction: StreamProcessing.be (Peter) * 19:10 – 19:45 : Azure Stream Analytics and ML (Jan)  * 19:45 – 20:20 : Google Cloud DataFlow (Alex) * 20:20 – 20:55 : Amazon AWS ML (Nils and Frederik) * 20:55 – 22:00 : beers (closing doors at 22:00)Summaries:Introduction…

Check out this Meetup →

Workshop – SAS – May 19 – Your data playground for visual Analytics & Statistics – Free

SAS Data Playground

Join the SAS experts on May 19.

They will demonstrate how you can do just that with Visual Analytics & Statistics.
The nice thing is that Mr. François Wuyts, Head of IT of Belgisch Antigifcentrum\Centre Antipoisons Belge,  will show you how they use visualization in their organization, explain what they use it for and clarify what the benefits are.

Try it yourself! And Win!

Bring your own laptop and take the opportunity to play with SAS Visual Analytics during the hands-on session.

Participate in the competition at the end of this session; you might be one of the 3 lucky ones to win one month free access to Saas Now .

A great opportunity to try out SAS Visual Analytics with your own data!

Register on http://bit.ly/1ENP64v

More events ?

Check out our event page: https://datasciencebe.com/events/

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
1,181 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

Launch MOOC Coaching activities, First course is the Machine…

Wednesday, May 13, 2015, 7:00 PM
23 Attending

Check out this Meetup Group →

Invitation to Event – BA4ALL – Big Data & Analytics Insight 2015-05-19 – Brussels

Logo_BA4ALL

Join us next week at Big Data & Analytics Insight 2015 in the Event Lounge on 19 May.

You will be in good company amongst other leaders in the field of Big Data Analytics and with prominent keynote speakers like Carsten Bange, Timo Elliott and Laurent Fayet.

Click here for the program.

This is an ideal opportunity to exchange ideas, discover new technologies, architectures and analytical approaches appealing to both technical and business people.

So here’s the deal: Brussels Data Science Community has a limited number of discounted tickets at 250 euro instead of 395 euro, and we will give these away on a first come, first served basis. So register quickly to secure your seat. Don’t forget to use the promotional code BDA2015BRUD to get your discounted ticket. Please note that this promotion is only valid for end users.

See you next week.

Philippe Van Impe

More events ?

Check out our event page: https://datasciencebe.com/events/

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
1,181 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

Launch MOOC Coaching activities, First course is the Machine…

Wednesday, May 13, 2015, 7:00 PM
23 Attending

Check out this Meetup Group →