1
Brussels the capital of Data Science
2
Philippe Van Impe
@pvanimpe
pvanimpe@dihub.eu
0477/23.78.42
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
Brussels the capital of Data Science
The Data Science Community
Mission:
to educate, inspire, empower
scholars and professionals
to apply data sciences
to address humanity’s grand
challenges.
“
”
The Data Science Community
Started in March 2014, already 50+ meetings
3 regional meetups groups: Brussels - Ghent - Antwerp
We organise:
• Data Science Bootcamp
• Coding Summer Camp
• Kids Camp on Creative Computing
• data4good Hackathons
• Data Innovation Summit
+1900 meetup group members
+4200 @datasciencebe twitter followers
+1600 facebook page likes
+1650 linkedin group members
+ 10k views on www.datasciencebe.com
+ 200 educational videos : Datascience Youtube channel
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
Brussels Capital of Data Science
vzw European Data Innovation Hub asbl
The premier networking space
where business, startup, academic and political
decision makers meet and discuss policy and
best practices about big data, open data, IoT and
data innovation.
“
”
Meeting place Í Co-Working | Data Incubator for Startups | Training Centre
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
What do we do
03/02/16
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
9
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
Our next Challenge
The Long Term Plan
Building the Community Platform
The Data Science Bootcamp
The European Data Science Summit
The New Office Space
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
Our next Challenge
The Long Term Plan
Building the Community Platform
The Data Science Bootcamp
The European Data Science Summit
The New Office Space
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
Corporate SURVIVAL
14
We live in a DATA DRIVEN world
15
Are you FIT to run the DATA RACE?
Do you have a team that
Eats, Sleeps, Dreams DATA ?
17
2 options to boost your data skills
BOOTCAMPCOMPANY BOOTCAMP
COMPANY
RECRUIT TRANSFORM
18
EXPERTS INTENSE
HANDS-ON
19
• REAL DATA
• BUSINESS CASES
• MULTI-TECHNOLOGY
• MULTI-INDUSTRY
• MULTI-DOMAIN
HANDS-ON
20
EXPERTS
• FIELD EXPERTS
• COACHES
• BEST PRACTICES
21
INTENSE
• 5 WEEKS PROGRAMMING
• CERTIFICATION
• 12 WEEKS BUSINESS CASES
• OWN BUSINESS CASE
22
EXPERTS INTENSE
HANDS ON
NETWORK
DIRECTLY APPLICABLE
TEAM SPORT
BUSINESS CASE
23
Register Now
24
25
Summer
Camp
Data Science
Boot Camp
Trainee
Selection
5 weeks
coaching
12 weeks: 2d training + 1d coaching
24 days training / 16 days coaching
July August September October November December
Starting August 16th 2016
15 hands-on business cases + one personal caseprogramming
10 tier one 

traineeships
Teamwork
Storytelling
Business case creation
Data Driven decision making
Computer science fundamentals
Big Data Processing Platforms
Unstructured Data
Structured Data
Data cleaning
Coding
Soft Skills
Problem Solver
Business Acumen
Domain Knowledge
Machine Learning
Process Mining
Visualisation
Data Mining
Statistics
Data
Ready
26
Week Start date Coached MOOCs
1 Aug 16 SAS
2 Aug 22 Python
3 Aug 29 R
4 Sep 9 Introduction to Statistics
5 Sep 12 SQL
5 Week Summer Camp
27
Week Training dates Topic Case
1 Sep 19,20
Management communication and
profiling
Process communication profile
2 Sep 26,27
Essentials of predictive analytics
Data Visualization and Storytelling
Workshop
Smartcity open data
3 Oct 3, 4 Big Data Architecture Setting up a data lake
4 Oct 10,11
Elastic Search & Discovery
Graphs
Panama papers
5 Oct 17,18 Marketing Models Telco
6 Oct 24,25 Data Enrichment Weather and geographic data
7 Nov 7,8
Segmentation
Social Network Analysis
di-Summit survey data
Public data
8 Nov 14 ,15 Text Mining Financial data
9 Nov 21,22 Recommendation Engines IMDB
10 Nov 28,29 Process Mining Banking
11 Dec 5,6 Internet of Things Retail
12 Dec 12,13 Optimization Supply Chain
13 Dec 19-23
Finishing business case and
presentation (optional)
Personal project
12 Week Bootcamp
28
 
Week 1 - 6 Week 7 - 12
9h - 12h Hands-on training Hands-on training
12h – 13h Lunch & Networking Lunch & Networking
13h - 15h Hands-on training Hands-on training
15h – 17h
Coached MOOC 

Machine Learning
Develop personal business case
29
Daily Bootcamp Schedule
Some of our trainers & coaches
Martine GeorgeVéronique Van Vlasselaer Silke Govaert
Carl Sablon Edward Vandenberghe
30
Why participate?
•Attract expert knowledge
•Be part of the network
•Create an innovative image
•Data science ready
Fastest way to gain data science expertise
Register Now
31
Your next step,
secure your seat for the next Bootcamp
Limited to 15 participants
Nele Coghe
Manager di-Academy
+32 473 76 90 16
training@di-academy.com
32
http://di-academy.com/bootcamp/
Training partners:
33
Innovation partners:
34
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
European Data Innovation Hub vzw
June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
Teamwork
Storytelling
Business case creation
Data Driven decision making
Computer science fundamentals
Big Data Processing Platforms
Unstructured Data
Structured Data
Data cleaning
Coding
Soft Skills
Problem Solver
Business Acumen
Domain Knowledge
Machine Learning
Process Mining
Visualisation
Data Mining
Statistics
36

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Brussels Capital of Data Science

  • 1. 1 Brussels the capital of Data Science
  • 2. 2 Philippe Van Impe @pvanimpe pvanimpe@dihub.eu 0477/23.78.42 European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe Brussels the capital of Data Science
  • 3. The Data Science Community Mission: to educate, inspire, empower scholars and professionals to apply data sciences to address humanity’s grand challenges. “ ”
  • 4. The Data Science Community Started in March 2014, already 50+ meetings 3 regional meetups groups: Brussels - Ghent - Antwerp We organise: • Data Science Bootcamp • Coding Summer Camp • Kids Camp on Creative Computing • data4good Hackathons • Data Innovation Summit +1900 meetup group members +4200 @datasciencebe twitter followers +1600 facebook page likes +1650 linkedin group members + 10k views on www.datasciencebe.com + 200 educational videos : Datascience Youtube channel European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 6. vzw European Data Innovation Hub asbl The premier networking space where business, startup, academic and political decision makers meet and discuss policy and best practices about big data, open data, IoT and data innovation. “ ” Meeting place Í Co-Working | Data Incubator for Startups | Training Centre European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 7. What do we do 03/02/16 European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 8. European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 9. 9
  • 10. European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 11. European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 12. Our next Challenge The Long Term Plan Building the Community Platform The Data Science Bootcamp The European Data Science Summit The New Office Space European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 13. Our next Challenge The Long Term Plan Building the Community Platform The Data Science Bootcamp The European Data Science Summit The New Office Space European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 15. We live in a DATA DRIVEN world 15
  • 16. Are you FIT to run the DATA RACE?
  • 17. Do you have a team that Eats, Sleeps, Dreams DATA ? 17
  • 18. 2 options to boost your data skills BOOTCAMPCOMPANY BOOTCAMP COMPANY RECRUIT TRANSFORM 18
  • 20. • REAL DATA • BUSINESS CASES • MULTI-TECHNOLOGY • MULTI-INDUSTRY • MULTI-DOMAIN HANDS-ON 20
  • 21. EXPERTS • FIELD EXPERTS • COACHES • BEST PRACTICES 21
  • 22. INTENSE • 5 WEEKS PROGRAMMING • CERTIFICATION • 12 WEEKS BUSINESS CASES • OWN BUSINESS CASE 22
  • 23. EXPERTS INTENSE HANDS ON NETWORK DIRECTLY APPLICABLE TEAM SPORT BUSINESS CASE 23
  • 25. 25 Summer Camp Data Science Boot Camp Trainee Selection 5 weeks coaching 12 weeks: 2d training + 1d coaching 24 days training / 16 days coaching July August September October November December Starting August 16th 2016 15 hands-on business cases + one personal caseprogramming 10 tier one 
 traineeships
  • 26. Teamwork Storytelling Business case creation Data Driven decision making Computer science fundamentals Big Data Processing Platforms Unstructured Data Structured Data Data cleaning Coding Soft Skills Problem Solver Business Acumen Domain Knowledge Machine Learning Process Mining Visualisation Data Mining Statistics Data Ready 26
  • 27. Week Start date Coached MOOCs 1 Aug 16 SAS 2 Aug 22 Python 3 Aug 29 R 4 Sep 9 Introduction to Statistics 5 Sep 12 SQL 5 Week Summer Camp 27
  • 28. Week Training dates Topic Case 1 Sep 19,20 Management communication and profiling Process communication profile 2 Sep 26,27 Essentials of predictive analytics Data Visualization and Storytelling Workshop Smartcity open data 3 Oct 3, 4 Big Data Architecture Setting up a data lake 4 Oct 10,11 Elastic Search & Discovery Graphs Panama papers 5 Oct 17,18 Marketing Models Telco 6 Oct 24,25 Data Enrichment Weather and geographic data 7 Nov 7,8 Segmentation Social Network Analysis di-Summit survey data Public data 8 Nov 14 ,15 Text Mining Financial data 9 Nov 21,22 Recommendation Engines IMDB 10 Nov 28,29 Process Mining Banking 11 Dec 5,6 Internet of Things Retail 12 Dec 12,13 Optimization Supply Chain 13 Dec 19-23 Finishing business case and presentation (optional) Personal project 12 Week Bootcamp 28
  • 29.   Week 1 - 6 Week 7 - 12 9h - 12h Hands-on training Hands-on training 12h – 13h Lunch & Networking Lunch & Networking 13h - 15h Hands-on training Hands-on training 15h – 17h Coached MOOC 
 Machine Learning Develop personal business case 29 Daily Bootcamp Schedule
  • 30. Some of our trainers & coaches Martine GeorgeVéronique Van Vlasselaer Silke Govaert Carl Sablon Edward Vandenberghe 30
  • 31. Why participate? •Attract expert knowledge •Be part of the network •Create an innovative image •Data science ready Fastest way to gain data science expertise Register Now 31
  • 32. Your next step, secure your seat for the next Bootcamp Limited to 15 participants Nele Coghe Manager di-Academy +32 473 76 90 16 training@di-academy.com 32 http://di-academy.com/bootcamp/
  • 34. 34 European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 35. European Data Innovation Hub vzw June 2016 | @DataEu | www.dihub.eu | www.di-academy.com | www.disummit.com | @DataSciencebe
  • 36. Teamwork Storytelling Business case creation Data Driven decision making Computer science fundamentals Big Data Processing Platforms Unstructured Data Structured Data Data cleaning Coding Soft Skills Problem Solver Business Acumen Domain Knowledge Machine Learning Process Mining Visualisation Data Mining Statistics 36