Courses in Big Data
Transforming Brussels into a SmartCity and reinforcing our capital’s place on the global tech scene.
Brussels: The Beating Heart of Big Data
Technology is evolving at high speeds. Today, the future of companies depends on the processing of “Big Data”, in other words, the ever-increasing quantities of data, which constitute the new type of raw material to be valued in almost all sectors.
However, many companies and professionals do not always know how to use their data and/or are not aware of the added value they could gain from it.
It is in response to these problems that the project “Brussels: The Beating Heart of Big Data” was born.
This project, which is being developed as part of Measure 8 of the Next Tech Plan, offers 3 training cycles of 10 courses on big data, at both beginner and advanced levels. These 3 cycles will be followed by a Hackathon weekend.
No prerequisites are required to start these courses. The aim of these courses is to familiarize participants with the principles of Big Data.
Summary
Who are these courses for? To professionals, entrepreneurs, freelancers, job seekers, as well as to all those who wish to familiarize themselves with the terminology and methodology of Big Data.
Language : english
Levels: beginner and advanced
Dates:
- Cycle 1 (beginner) : 26/02/2019 – 16/04/2019
- Cycle 2 (beginner) : 07/05/2019 – 02/07/2019
- Cycle 3 (advanced): 01/10/2019 – 17/11/2019
- Hackathon: 29/11/2019 – 01/12/2019
Time: 18h30-21h30 on weekdays
Certification : Certificate of Participation recognized by the Brussels-Capital Region
Place: Betacowork, Rue des Pères Blancs, 4 – 1040 Etterbeek Brussels
Price : 70,00 EUR per training cycle of 10 sessions
Objectives of this project:
- Explain the concepts related to Big Data and raise awareness of its stakes.
- Understand Big Data processing, from acquisition to result
- Understand the relationships between cloud performance and the world of Big Data.
- Understand data classification, security and confidentiality
- Learn Open Data and its multiple opportunities for reuse and enrichment
- “Privacy by design”: understanding how to integrate the concept of privacy into your project
- Understand the real impact of the new GDPR regulation.
- Understand how big data can accelerate sales and increase customer satisfaction
- Facilitate retraining in businesses that will be disrupted by the implementation of Big Data
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Beginner Training (Cycle 1)
This cycle is intended for those who wish to familiarize themselves with the terminology of Big Data and its key concepts: use, applications, operating systems.
◘ No technical skills are required.
◘ No Coding, these are informative courses. Cycle 3 will include practical coding exercises.
Cycle 1 (February – April): 10 evening courses (18h30 – 21h30) |
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Tuesday 26/02/2019 |
Introduction to Big Data: overview, concepts, definitions, abbreviations & typical challenges |
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Thursday 07/03/2019 |
Big Data business models: Inspiring use cases |
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Thursday 14/03/2019 |
Types of data (Real-time vs Static / Structure vs Unstructured / Open vs Public vs Private data) with real world samples and opportunities |
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Tuesday 19/03/2019 |
Big Data structuring, modeling & management systems |
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Thursday 21/03/2019 |
GDPR and privacy legislation & concerns when designing and operating Big Data projects |
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Tuesday 26/03/2019 |
Mashing up Open Data and hands-on tests with easy to use visualisation tools |
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Tuesday 02/04/2019 |
Big Data integration and processing |
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Tuesday 09/04/2019 |
How to start your Big Data Project. Preparation to Hackathon. |
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Thursday 11/04/2019 |
Graph Analytics for Big Data |
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Tuesday 16/04/2019 |
Intro to machine learning with Big Data |
Beginner Training (cycle 2):
This cycle is intended for those who wish to familiarize themselves with the terminology of Big Data and its key concepts: use, applications, operating systems.
◘ No technical skills are required.
◘ No Coding, these are informative courses. Cycle 3 will include practical coding exercises.
Cycle 2 (May – June ): 10 evening courses (18h30 – 21h30) |
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Tuesday 07/05/2019 |
Introduction to Big Data: overview, concepts, definitions, abbreviations & typical challenges |
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Tuesday 14/05/2019 |
Big Data business models: Inspiring use cases & code basis |
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Thursday 16/05/2019 |
Types of data (Real-time vs Static / Structure vs Unstructured / Open vs Public vs Private data) with real world samples and opportunities |
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Tuesday 21/05/2019 |
Big Data structuring, modelling & management systems |
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Thursday 23/05/2019 |
Big Data integration and processing |
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Tuesday 28/05/2019 |
Intro to machine learning with Big Data |
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Tuesday 04/06/2019 |
GDPR and privacy legislation & concerns when designing and operating Big Data projects |
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Thursday 13/06/2019 |
Mashing up Open Data and hands-on tests with easy to use visualisation tools |
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Thursday 20/06/2019 |
Graph Analytics for Big Data |
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Tuesday 02/07/2019 |
How to start your Big Data Project. Preparation to Hackathon. |
Advanced Training (cycle 3)
This cycle is intended for those who wish to learn the fundamental coding methods in an accessible way in order to master the challenges of implementing a Big Data strategy within a company.
Prerequisites:
◘ You must know how to write code, ideally python.
◘ Have notions of cloud technologies
◘ Knowledge of SQL is useful to have but not required.
◘ You must bring your own laptop
Cycle (September – November): 10 evening courses (18h30 – 21h30) |
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01/10/ 2019 |
Introduction to Big Data architectures and Draw your own big data architecture |
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03/10/ 2019 |
Introduction to AWS cloud |
| 08/10/ 2019 |
Data Pipeline – Gather the data |
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10/10/ 2019 |
Data Pipeline – Build the pipeline |
| 15/10/ 2019 |
Data Pipeline – Test |
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17/10/ 2019 |
Data Pipeline – Schedule & Deploy |
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22/10/ 2019 |
Introduction to Elastic stack |
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24/10/ 2019 |
Elastic stack – Load the data |
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05/11/ 2019 |
Elastic Stack – Build the Dashboard |
| 07/11/ 2019 |
Elastic Stack – Build the Dashboard |
Speakers of Our Big Data Courses
TOON VANAGTEntrepreneur, coach with extensive experience in the implementation and management of projects and technology companies.
Founder of Casius.com, data.be, lex.be
ERIC RODRIGUEZ“More than 10 years of experience in software development. I have worked in various fields such as banking, government, finance, web, customs and technical projects based on proprietary or open-source solutions”. Madkings, Data.be, lex.be
SARI DEPREEUWSari works mainly in the field of intellectual property law (with a focus on copyright) and IT law (in litigation, legal advice and contracts). She also teaches intellectual property law and media law at Université Saint Louis in Bruxelles. Expertise: IT/IP, Copyright, New Technologies.
PETER CAMPBELL
Data management Advisor, experienced Senior Business and ICT Consultant. Founding Member and Director of BeLux chapter of DAMA (Data Management Association). Specialties: Data Management; Data and Business Process Modeling; Database Development; Information Security Data Interoperability and Integration, Data Warehouse Architecture and development.
CHRISTOPH EVERSExperienced Data Scientist with a demonstrated history of working in the services industry. Skilled in Analytical reporting, data oriented back-ends & ETL pipeline, Elasticsearch specialist. Currently, senior Data Scientist and Data developer at Lex.be
DAAN GERITS“Big Data and Open Source enthusiast at heart. During his education he launched several initiatives to promote open source. Initiatives like Storm, Hadoop and Mahout really sparkle his mind.” Founder of BigBoards and Fitchain.io, Consult IT owner.
Videos & Powerpoints from the Courses
Startup Weekend Brussels Big Data
Join us for a the Big Data Start up Weekend from Friday 29 November to Sunday 1 December 2019. Here participants can put into practice what they have learned during the training cycles by giving free rein to their creative potential.
So what’s on the menu ?
- Project pitch
- Development of selected projects
- Workshops with trainers
- Demo pitch on Sunday in live streaming
- Jury of invited experts who will evaluate the projects
- Rewards the best projects at the end of the weekend.
Find us live or in videos !
