Big Data, a promised land where the Big Bucks grow

Martyn has written som nice blogposts about #Bigdata, I like his latest one about how to make money, of course it is extreem and a caricature, but he has a point.
Point 6 call upon a certification, this is completely in line with our idea to organize a 12 week boot-camp + certification program.

GOOD STRATEGY

Consider this. Many people come up to me in the street, and, apropos of nothing, they ask me how they can make money from Big Data.

Normally I would send such people to see a specialist – no, not a guru, but a sort of health specialist, but because this has happened to me so many times now, I eventually decided to put pen to paper, push the envelope, open up the kimono, and to record my advice for posterity and the great grandchildren.

So, here are my top seven tips for cashing in quick on the new big thing on the block.

1 – A business opportunity for faith

Like every new religion, trend or fad, Big Data has its own founding myths, theology and liturgy, and there is money to be made in it; loadsa lovely jubbly money. By predicating and evangelising Big Data you will be welcomed…

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Should we organize a 12w Data Science Bootcamp in Brussels soon ?

Question to the community: Should we organize such a 12 week bootcamp in Belgium ? Who wants to participate and share his knowledge and who wants to participate to this camp ?

Data Science 101

Do you need to build your skills to land that dream job as a data scientist? Well, Metis Data Science Bootcamp in New York City offers a 12 week program to do just that. The program sounds fantastic with a few of the highlights being: help landing a job, great guest speakers, no PhD required, and a strong curriculum. Tarlin Ray, Head of Admissions at Metis, was kind enough to answer 3 questions about the bootcamp.

If you are interested in applying, the next bootcamp starts in April and the deadline for early admission is next Monday, February 16, 2015.

metis bootcamp Metis data science bootcamp in NYC

Can you describe a student who would be successful in the program?

If students do not have the technical skills, then they will struggle in the Metis Data Science bootcamp. Students must have some programming background and experience with statistics in order to get…

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Women In Data – Free ebook

Data Science 101

O’Reilly just published a free ebook profiling 15 influential women in data science, Women in Data. The book is written by Cornelia Levy-Bencheton.

The following women are profiled in the book:

  • Michele Chambers, COO of RapidMiner
  • Camille Fournier, CTO of Rent the Runway
  • Carla Gentry, CEO of Analytical Solution
  • Kelly Hoey, Speaker and Early-stage Investor
  • Cindi Howson, VP of Research at Gartner
  • Neha Narkhede, Co-founder of Confluent
  • Claudia Perlich, Chief Scientist at Dstillery
  • Kira Radinsky, Co-founder of SalesPredict
  • Gwen Shapira, Software Engineer at Cloudera
  • Laurie Skelly, Data Scientist at Datascope
  • Kathleen Ting, Technical Account Manager at Cloudera
  • Renetta Garrison Tull, Associate Vice Provost of UMBC
  • Hanna Wallach, Researcher at Microsoft
  • Alice Zheng, Director of Data Science at Dato
  • Margit Zwemer, Founder of LiquidLandscape

Enjoy!

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5.2 billion mobile users, 292 billion gigabytes mobile traffic by 2019

impressive

What's The Big Data?

In February 2015, Cisco released the Cisco VNI Global Mobile Data Traffic Forecast, 2014 – 2019. Global highlights from the updated study include the following projections:

By 2019:

  • There will be 5.2 billion global mobile users, up from 4.3 billion in 2014
  • There will be 11.5 billion mobile-ready devices and connections, more than 4 billion more than there were in 2014
  • The average mobile connection speed will increase 2.4-fold, from 1.7 Mbps in 2014 to 4.0 Mbps by 2019
  • Global mobile IP traffic will reach an annual run rate of 292 exabytes, up from 30 exabytes in 2014

VNI-Infographic

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DataQuest – Free Browser-based Learning for Data Science

nice initiative

Data Science 101

DataQuest is a recently launched online data science learning platform for python. The site consists of a gamified series of missions that increase in difficulty as your skills progress. Here are a few other features of the site.

  • Sample Code
  • Live, Interactive Browser-based Coding Environment
  • Step by Step Instructions
  • Instant Feedback
  • Helpful Forums for Q&A

The site is still under development and the founder, Vik Paruchuri, is looking for help developing more content and missions for the site. If that is something of interest to you, get in touch with Vik via the DataQuest website.

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2015 Marketing Technology Landscape (Infographic)–1,876 Companies!

nice overview

What's The Big Data?

marketing_technology_jan2015

Source: chiefmartec.com

Scott Brinker says:

Even I was surprised that the number of vendors nearly doubled from last year’s edition, which charted an already-staggering 947 companies…

My intention with this graphic is to visually demonstrate four points:

  1. Marketing has unquestionably become a technology-powered discipline.
  2. The quantity of martech ventures is a barometer of how much marketing is evolving.
  3. The marketing technology field is heterogenous, with a very broad range of products.
  4. To thrive in this environment, marketing should steadily develop its technical talent.

When you consider the implications of those four points, the “technology management” piece of this is non-trivial — but it’s definitely not the biggest hurdle most companies face. The real challenge is changing how firms think and behave in this hyper-connected, always-on, customer-controlled digital world. The nature of marketing has exploded from an ancillary communications function to the Grand Central Station of customer experience. And the…

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Job – Telenet – Data Scientist

Telenet

Job description

Als Data Scientist kan je mee aan de kar trekken om Telenet op alle manieren te verbeteren. Zoeken naar nieuwe opportuniteiten, verbeteringen, gerichte éénmalige acties, …  alles gedreven vanuit inzicht in bestaande data of om betere gegevens te verzamelen naar de toekomst toe. Dit kan zowel starten vanuit gerichte vragen als vanuit een creatieve vertaling van eigen ideeën of marktinzichten. Via jouw sterke communicatieskills slaag je er in om de business mee te trekken in jouw verhaal om van hun de nodige buy-in te verkrijgen om samen een goed onderzoek te doen en de conclusies hiervan ook te gaan implementeren.Je hebt een analytische achtergrond die met een sterke technische bagage in de praktijk kan omgezet worden. Statistiek is een sterke tool in jouw arsenaal.

  • Universitair (IT, Computer Science, statistiek) of gelijkwaardig door ervaring
  • Sterke statistische kennis, in de praktijk vertaald via een tool zoals R,SPSS,mahout,…
  • Ervaring in data modellering, data beheer
  • Ervaring met big data(hadoop) concepten
  • Gedreven om het snelwijzigende landschap van data-tooling op te volgen om het eigen arsenaal aan mogelijkheden uit te breiden.
  • Excellente analytische vaardigheden (incl.: helicopter view; out-of-the-box thinking, …)
  • Sterke communicatieve vaardigheden
  • Enthousiaste en gedreven persoonlijkheid
  • Flexibel en leergierig
  • Positief kritische en pro-actieve ingesteldheid

Desired Skills and Experience

  • Universitair (IT, Computer Science, statistiek) of gelijkwaardig door ervaring
  • Sterke statistische kennis, in de praktijk vertaald via een tool zoals R,SPSS,mahout,…
  • Ervaring in data modellering, data beheer
  • Ervaring met big data(hadoop) concepten
  • Gedreven om het snelwijzigende landschap van data-tooling op te volgen om het eigen arsenaal aan mogelijkheden uit te breiden.
  • Excellente analytische vaardigheden (incl.: helicopter view; out-of-the-box thinking, …)
  • Sterke communicatieve vaardigheden
  • Enthousiaste en gedreven persoonlijkheid
  • Flexibel en leergierig
  • Positief kritische en pro-actieve ingesteldheid

How to apply?

  • Successful candidates are asked to apply online.
  • Margot Vonckx

    HR – Senior Recruitment Officer
    +32 15 33 59 24
    Liersesteenweg 4, B-2800 Mechelen

  • jobs.telenet.be

More Jobs ?

hidden-jobs1

Click here for more Data related job offers.
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Call for Speakers – New York – Sentiment Analysis Symposium – July 2015

sentiment

Please help Seth Grimes create another great symposium! Submit your proposal by January 23.

————————

Sentiment Analysis Symposium is the first, biggest, and best conference to tackle the business value of sentiment, mood, opinion, and emotion — linked to the spectrum of big data sources and exploited for the range of consumer, business, research, media, and social applications.

The key to a great conference is great speakers. This year’s symposium — running two full days, July 15-16, 2015 in New York — will feature a presentations track and a workshop track. Whether you’re a business visionary, experienced user, technologist, or consultant, please consider proposing a presentation or workshop. Submit your proposal at sentimentsymposium.com/call-for-speakers.html. Choose from among the suggested topics or surprise us. Propose a 20-30 minute presentation or solution spotlight, a 5-minute lightning talk, or a longer workshop. Help us build on our track record of bringing attendees — over 175 total at the 2014 symposium — useful, informative technical and business content. Please submit your proposal by January 23, 2015.

In case you’re not familiar with the symposium: Check out videos from the March, 2014 New York symposium and from prior symposiums.

As in past years, we’re inviting talks on customer experience, brand strategy, market research, media & publishing, social and interaction analytics, clinical medicine, and other topics. On the tech side, show off what you know about natural language processing, machine learning, speech and emotion analytics, and intent modeling. New this year, we’re planning a special segment on sentiment applications for financial markets.

Please help us create another great symposium! Submit your proposal by January 23.

Thanks and best wishes,

Seth Grimes, symposium organizer

P.S. If you’re not up for speaking but would like to register, register today to benefit from Super Early discount rates. And if you represent a solution provider or consultancy that would like to sponsor the symposium, it would be great to have your support, so just send me a note. Thanks!

Want to make an impact of social good this summer?

nice initiaive

Data Science 101

Again this summer, the University of Chicago is hosting the Data Science for Social Good (DSSG) Fellowship Program. DSSG is a 12-week training program for aspiring data scientist interested in working on problems in the non-profit and government sectors. The program is collaborative, creative, and project-based. All the fellows work on real problems from organizations seeking a social impact. And yes, fellows are paid and they receive a housing stipend.

DSSG looks for the following characteristics is applicants:

  • Passion for doing social good
  • Preferably a graduate student or a recent grad
  • Some programming, stats, and data analysis skills (don’t have to be an expert)
  • For more see the FAQs page

The deadline to apply for the fellowship is Feb 1, 2015.

If you are not new to data science, DSSG is also looking for mentors to help guide and lead the fellows.

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