Data & Analytics Events in Europe

Discover how to turn raw data into insights with Python. Learn to use Pandas, NumPy, and Matplotlib in a hands-on, beginner-friendly session

Bring your team and save:

1. Groups of three or more receive a 10% discount

2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.

For more information on venue address, reach out to "contact@academyforpros.com"

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

Course Overview:

The Python for Data Science course provides the essential skills to analyze, visualize, and interpret data using Python. You’ll learn to use popular libraries like Pandas, NumPy, Matplotlib, and Seaborn to explore datasets and uncover insights. Designed for aspiring data scientists and analysts, this course bridges core programming with data-driven decision-making — empowering you to start your journey in the world of data science.

Learning Objectives:

By the end of this course, you will:

• Use Python libraries to load, explore, and manipulate data
• Apply data cleaning techniques to prepare data for analysis
• Create visualizations to convey patterns and insights
• Understand the basics of machine learning workflows
• Perform data-driven decision-making with confidence
• Start your journey toward becoming a skilled data analyst or scientist

Target Audience:

Aspiring data scientists, analysts, developers, and students.

This course is designed for anyone ready to explore the world of data science using Python, regardless of prior experience. With expert guidance and real-world datasets, you’ll learn to make sense of data and present your findings visually. Our hands-on approach ensures you don’t just learn theory, but also apply it through practical exercises. Plus, Python is the most popular language in data science — learning it unlocks opportunities in AI, analytics, automation, and more.

©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

Want to build a data-driven culture within your team?

We offer customizable in-house Python for Data Science training tailored to your organization's goals and data challenges. Looking to upskill your workforce in data handling and analysis? Let us design a program that fits your needs.

📧 Contact us today to schedule a customized in-house session: corporate@mangates.com

💫 Announcing a new streaming event: Unlocking Power BI Developer Mode with PBIP: A practical guide - with David Kofod Hanna 💫

👨‍🏫 Last week, we announced our upcoming Ticino Data Conference 2026. More details and surprises about our main event are coming in the next weeks. But that doesn't mean our online events are stopping! David Kofod Hanna, MVP MCT and Speaker (he was also a speaker at the last edition of our Ticino Conf!) is going to explain to our community how to leverage PBIP to improve your development workflows with Power BI.

🤩 Do you want to learn what you need to leverage the new Power BI format and everything that comes with it? Then join our event on the 23rd of June, 18.30 CEST, live on Youtube and LinkedIn!

💓 See you soon!

Edinburgh's community meetup for people working in or simply interested in Data Science. We're a friendly mix of professionals, academics, students, and enthusiasts who enjoy meeting over drinks and pizza while listening to insightful talks.

By popular demand, you can now RSVP either on Meetup or via Luma!

We have two great talks lined up:

This talk will explore the impact of increased web scraping and bot-generated traffic on Wikipedia, along with the bot-blocking and throttling measures introduced in response. Through practical Python examples, Stelios will demonstrate common scraping techniques, discuss potential workarounds, and highlight challenges associated with scraped data. The talk will conclude with a proposed code of conduct for web scraping, informed by guidance from Creative Commons and UK copyright exceptions.

LLM applications are expensive, and many of them are paying for the same answer twice: sometimes ten times. This talk explores how to stop doing that.
Caching is the mechanism. The catch is that "the same answer" stops being obvious the moment your inputs are natural language. "When are your opening hours?" and "What time do you open?" are the same question to a user, but different strings to a cache. The interesting work lies in teaching systems when two questions should be considered equivalent, turning caching into a calibration problem with real cost and quality implications.

5:30pm – 6:30pm: Networking with pizza and drinks
6:30pm – 8:00pm: Talks and Q&A
8:00pm onwards: Continued networking at a local bar

37 Holyrood Road, Edinburgh, EH8 8AQ
Paterson's Land, Room 1.26

Due to the popularity of previous events, we can only admit attendees who have RSVP'd via Meetup or Luma.

Stelios Christodoulou is a Senior Service Performance Engineer at Viasat and a data analyst with over 15 years of experience across telecommunications, aviation, maritime, transport, and geospatial data. His work has spanned satellite communications, GPS interference analysis, network performance monitoring, remote sensing, and data visualisation using Python, SQL, Tableau, and cloud technologies. A regular contributor to Scotland's Python and data communities, Stelios enjoys exploring the practical applications of data engineering, open data, and web scraping in real-world systems.

Samuel Agbede is a Developer Advocate at Redis, where he helps developers build AI systems that work reliably in the real world. His interests include AI agents, retrieval, memory systems, evaluation, and the engineering trade-offs involved in taking LLM applications from prototype to production. Previously an Applied Machine Learning Engineer at JPMorgan Chase, Samuel combines a background in software engineering, machine learning, and developer education to help engineers build reliable, observable, and cost-effective AI solutions. He is also the host of the Stories That Shape Us podcast, where he explores the experiences and decisions that shape people's careers and lives.

PyData Helsinki will meet at UpCloud's office!

Schedule:

16:30 Doors open
17:00 Welcome words from UpCloud
17:10 Seija Sirkiä: NPS - Not Proper (data) Science?
17:40 Touko Väänänen: Choosing projects under uncertain preferences for impacts
18:10 Break — food, drinks, networking
18:45 PyData Helsinki quiz
19:00 Alexander Kevin Gilbert: Learning Data Engineering (not) from scratch
19:30 End of programme
20:00 Continue at a nearby bar

Talks:

• Seija Sirkiä: NPS - Not Proper (data) Science?
  Everybody agrees that Net Promoter Score is not quite as magical as it's made to sound like, but there's still plenty you can do with that data. In this talk I will show what I learned about that while working at HappySignals, including a model that cleans the scores of subgroup effects, such as culture/country.
• Touko Väänänen: Choosing projects under uncertain preferences for impacts
  Many choice situations involve choosing a subset of possible projects with several types of impacts. Choosing between the projects introduces trade-offs between the impacts that decision makers disagree about. I present a framework which helps in assessing robust projects that would be chosen with many preferences over the impacts.
• Alexander Kevin Gilbert: Learning Data Engineering (not) from scratch
  A PhD in physics and big data analysis experience at CERN might seem irrelevant when applying for a data engineering job, as the tools are completely different. But the two worlds are more connected than they appear. Join me as I explore those connections and share what I've learned along the way.

44th edition of PyData Trójmiasto coming up!

Where: Łużycka 8B, Gdynia, Tensor Z building.
When: 24th of June at 6PM

Registration: please register with your full first and last name. Don't forget to bring your ID when entering the event venue.
RSVP available until 6pm day before. In any urgent communication please let us know at kontakt@pydata-trojmiasto.pl

Parking: Free parking located along the street next to the building.

Agenda:

18:00 - 18:05 - Event boarding
18:05 - 18:10 - A few words about PyData
18:10 - 18:55 - From Annotation to Deployment:
Building an Object Detection Pipeline with Geti, YOLO26, and OpenVINO by Adrian Boguszewski
19:00 - 19:45 - Prompt, Pray, Pay: The New Economics of AI Coding Assistants by Marcin Duszyński
19:45 - Networking

From Annotation to Deployment: Building an Object Detection Pipeline with Geti, YOLO26, and OpenVINO by Adrian Boguszewski & Francesco Mattioli

Learn from Ultralytics and Intel® AI experts working side by side in this hands-on session and discover how to build production-ready computer vision pipelines for real-world manufacturing and industrial scenarios. We’ll guide you through a complete, end-to-end object detection workflow—from dataset creation and model training to optimization and edge deployment.

Start by rapidly annotating and iteratively refining image labels with Geti™, enabling efficient dataset bootstrapping even with limited data. Using this dataset, we’ll fine-tune an Ultralytics YOLO26 model for custom object detection—using hazelnuts as a practical example of common manufacturing inspection tasks. The trained model is then converted and optimized with OpenVINO™, leveraging techniques such as hardware acceleration and precision optimization to achieve low-latency inference. Finally, we’ll deploy and benchmark the solution on Intel® Core™ Processors Series 2 and Intel® Core™ Ultra processors, highlighting key considerations for latency, throughput, and resource utilization in edge environments.

Developers will leave with actionable insights to build industrial-grade AI pipelines:

End-to-End Solution: From image annotation to edge deployment, making vision AI practical for real-world applications.
Industrial Relevance: Apply object detection to manufacturing and inspection tasks to boost automation and efficiency.
Rapid Development: Accelerate dataset creation using Geti™, reducing time-to-deployment.
Optimized Edge AI: Deploy high-performance models with OpenVINO on Intel® hardware for low-latency, efficient inference.

Prompt, Pray, Pay: The New Economics of AI Coding Assistants by Marcin Duszyński

How token billing, context size, loaded toolsets, and model choice change how we use AI coding assistants, and how to control these costs.

AI coding assistants used to feel like unlimited magic behind a monthly subscription. As pricing shifts toward usage and tokens, we need a new mental model.

This talk breaks down what really drives the cost: context size, tool overhead, model choice, and so on. Then we look at how to control it: trim context, pick the right model for the task, and a few other practical moves.

The goal is not to use AI less. It is to use it deliberately, with better quality and fewer billing surprises.

Cześć!
Zapraszamy na 33. spotkanie Trójmiejskiej Grupy Data Community!
W czasie spotkania dowiemy się jak projektować kontekst dla LLM-ów i automatyzować jego poprawianie, a także jak przetwarzać tylko to, co się zmieniło niezależnie od technologii.
Spotkanie odbędzie się w gdańskim biurze firmy Hapag-Lloyd!

Udział w wydarzeniu jest jak zawsze bezpłatny, jednak ze względów logistycznych prosimy o rejestrację przez Meetup oraz przybycie przed 18:00.

Szczegóły wydarzenia
📅 Data: Środa, 24 czerwca
⏰ Godzina: 18:00
📍 Miejsce: Biuro Hapag-Lloyd, Biuro Alchemia IV - Neon, Grunwaldzka 413, Gdańsk, Oliwa - 7 piętro.

Dojazd komunikacją miejską: najbliższa stacja SKM - Gdańsk Przymorze Uniwersytet.
Najwygodniejszy parking - parkingi Olivia biznes center - szczegóły: https://www.oliviacentre.com/o-nas/parkingi/

Agenda

• 18:00 - 18:15 Wprowadzenie i sprawy organizacyjne
• 18:15 - 19:15 Hubert Jegierski - Prompt to za mało: jak projektować kontekst dla LLM-ów i automatyzować jego poprawianie

Korzystasz z LLM-ów i masz wrażenie, że dobry prompt działa świetnie… dopóki nie zmienisz modelu, dostawca nie wycofa używanej wersji albo kolejne poprawki zaczynają psuć to, co już działało?
W tej prezentacji zobaczysz, dlaczego samo „napiszmy lepszy prompt” często nie wystarcza i gdzie zaczyna się context engineering. Dowiesz się więcej o promptowym długu technicznym, wpływie kontekstu na jakość odpowiedzi i o tym, dlaczego ręczne poprawianie instrukcji szybko przestaje się skalować.
Na końcu zobaczysz DSPy - narzędzie, które pomaga ograniczyć przywiązanie do jednego modelu i automatycznie szukać lepszych promptów w bardziej mierzalny sposób.

• 19:15 - 19:25 Pytania i odpowiedzi
• 19:25 - 19:35 Przerwa
• 19:35 - 20:35 Piotr Tybulewicz - Jak przetwarzać tylko to, co się zmieniło - wzorzec niezależny od technologii

W Fabricu czy Databricksach mamy dziś wbudowane mechanizmy do przetwarzania przyrostowego i często to wystarcza. Ale co, jeśli z jakiegoś powodu nie możemy ich użyć? Albo chcemy mieć podejście, które zadziała niezależnie od technologii?
Na tej sesji zobaczysz uniwersalny wzorzec wykrywania zmian, który sprawdza się w każdym środowisku - w Azure, Fabricu, Databricksach, dbt, Snowflake’u, a nawet on-prem. Dzięki niemu można pominąć dane, które już zostały przetworzone i skupić się wyłącznie na tym, co się faktycznie zmieniło.

• 20:35 - 20:45 Pytania i odpowiedzi
• 20:45 - 22:00 Pizza & Networking

Nasi prelegenci:
Hubert Jegierski - Machine Learning Engineer od ponad 8 lat rozwijający i wdrażający rozwiązania oparte na AI i ML, łącząc doświadczenie akademickie i przemysłowe. Pracował przy projektach o szerokim zakresie zastosowań AI i ML, w tym przetwarzaniu języka naturalnego (NLP), predictive maintenance, detekcji anomalii oraz analizy danych biomedycznych. Obecnie skupia się na zastosowaniach modeli LLM w zarządzaniu wiedzą, takich jak weryfikacja faktów w dokumentach, wsparcie sprzedażowe czy wyszukiwanie informacji.

Piotr Tybulewicz - Stary wyjadacz opowiadający o danych oraz szeroko rozumianym data engineeringu (zwłaszcza w Azure).

Zgłoś swój temat!

Masz wiedzę, którą chcesz podzielić się z innymi? Chcesz zgłębić ciekawy temat, podzielić się case study lub spróbować swoich sił jako prelegent? Skontaktuj się z nami – oferujemy pełne wsparcie! Pisz na trojmiasto@datacommunity.pl.
Serdecznie zapraszamy!

Dans cette School on vous présente les bases de Airflow : revenir sur le vocabulaire (DAG, task, scheduler), créer des premiers DAG basiques.
Dans une deuxième partie on va regarder le fonctionnement interne de Airflow (version 2 et 3) pour comprendre les limites et les bonnes pratiques de l'outil.
On verra pour finir des techniques d'optimisation des DAG et des astuces d'architecture pour améliorer la stabilité de l'outil lors d'évolutions ou changements de versions.

À la fin de cette formation, les participants seront capables de :

• Installer Airflow en local
• Créer ses premiers flux
• Comprendre comment Airflow fonctionne de façon interne
• Bonnes pratiques et optimisation de DAG

• Module 1 — Comprendre le but d'un orchestrateur et son vocabulaire
• Qu'est-ce qu'un orchestrateur ?
• À quel problème répond-t-il ?
• Quels sont les mots clés à connaître
• Module 2 — Définition d'un DAG
• Les composants d'un DAG
• Atelier : Création d'un premier DAG
• Variabiliser les DAGs via templating
• Module 3 — Le fonctionnement interne de Airflow
• L'architecture interne de Airflow v2
• L'architecture interne de Airflow v3
• Module 4 — Bonnes pratiques et optimisations
• Les coûts cachés des Xcom et Variables
• Repérer les opérateurs à ne pas utiliser
• Alternatives et bonnes pratiques recommandées

• Avoir Docker et Docker Compose d'installé sur son poste de travail

Zapraszamy na kolejne spotkanie Data Community Poland w Bydgoszczy, gdzie w praktyczny sposób rozmawiamy o nowościach i realnych zastosowaniach technologii danych.

Czas i miejsce
📅 25.06.2026, godz. 18:00
📍 Młyny Rothera
Mennica 10 (2 piętro)
Bydgoszcz

Agenda
18:00–18:15 Wprowadzenie
18:20–19:10 Adam Marczak "Fast and enjoyable automation of data platforms and processes with low-code AI Agents"
19:10–19:35 przerwa + networking
19:35–20:25 Maciej Kępa "Securing AI Applications: Attacks, Leaks, and Defense Patterns"
20:25–20:35 Zakończenie

🗣️O wystąpieniach:
➡️Fast and enjoyable automation of data platforms and processes with low-code AI Agents
Budujesz platformę? Wspierasz proces? W takim razie ta sesja jest właśnie dla Ciebie. W ciągu godziny pokażemy Ci, jak zbudować agenta od podstaw przy użyciu narzędzi low-code. W ramach demonstracji zautomatyzujemy rzeczywisty scenariusz na platformie Azure. Nie jest wymagana żadna wcześniejsza wiedza!

➡️Securing AI Applications: Attacks, Leaks, and Defense Patterns
Masz w planach wdrożenie AI albo już korzystasz z modeli językowych w swoim systemie? To pewnie wiesz, że sztuczna inteligencja wprowadza specyficzne wyzwania dla bezpieczeństwa. Ta sesja pomoże Ci zrozumieć, gdzie naprawdę pojawiają się zagrożenia. W ciągu godziny omówmy najważniejsze ryzyka dla aplikacji opartych na LLM - od prompt injection i jailbreaków po wycieki danych oraz problemy związane z RAG, narzędziami i dokumentami. Pokażemy też, jak ograniczać te ryzyka na poziomie architektury, kontroli dostępu, walidacji oraz mechanizmów ochronnych.

👨‍🏫Prelegenci:
Adam Marczak
Microsoft Azure MVP i Cloud Architect z ponad 16 letnim doświadczeniem w branży IT. Pasjonat technologiczny ze szczególnym ukierunkowaniem na technologie Microsoft oraz chmurę Azure na którą od dekady projektuje rozwiązania. Adam wdraża rozwiązania dla dużych firm międzynarodowych specjalizując się w dziedzinie Data & Analytics. W wolnym czasie Adam prowadzi własny kanał na YouTube (Azure for Everyone) poświęcony chmurze Azure.

Maciej Kępa
Senior Data Engineer i Data Architect w Datumo, skoncentrowany na budowie produkcyjnych rozwiązań Data i AI na platformie Microsoft Azure.
Moja praca skupia się na praktycznym wykorzystaniu AI w rzeczywistych środowiskach: architekturze platform, powtarzalnym dostarczaniu rozwiązań, fundamentach MLOps, obserwowalności oraz inżynierskich granicach między danymi a aplikacjami uczenia maszynowego.
Zależy mi na systemach, które są skalowalne, obserwowalne, utrzymywalne i faktycznie gotowe do produkcji - a nie tylko przekonujące podczas warsztatu czy demonstracji w notebooku.
Autor bloga: https://maciejkepa.dev/

➡️ Partner wydarzenia: Młyny Rothera

LIVE : Architectures & Patterns Data, tendances actuelles et architecture de demain

Derrière les promesses, une question reste ouverte : à quoi ressemble aujourd’hui une architecture data crédible pour les cinq prochaines années, quand on doit composer avec legacy, contraintes d’équipe, budget, souveraineté, AI et cloud ?

Axel TIFRANI, Emeric Chaize, Hayssam Saleh, Tristan Malherbe & Stéphane Heckel Heckel, confronteront visions théoriques, discours des éditeurs et réalité du terrain. Lors de cette table ronde, ils partiront d’abord des architectures réellement déployées : ce qui fonctionne, ce qui a déçu, ce qui a dû être simplifié pour tenir les délais, pour clarifier ensuite les grands concepts qui structurent le débat actuel : datalake, lakehouse, datamesh, dataproduct, semanticlayer, moderndatastack et plateformes intégrées.

Ils parleront aussi tendances de fond : maturité des lakehouses, retour (ou non) aux plateformes all‑in‑one, Data & AI platforms et adoption réelle de l’IA, souveraineté, cloud, on‑prem et architectures hybrides. Côté technique, la discussion abordera la promesse d’Apache Iceberg et des OTF (open table format), le batch vs #streaming, la fusion OLTP/OLAP, ainsi que le rôle de l' #opensource.

Enfin, ils reviendront sur l’organisation : ce qu’il reste vraiment de la vague Data Mesh, de Domain Driven Design et des Data Products dans les équipes, et comment des plateformes comme Microsoft Fabric peuvent soutenir ces ambitions.

New link beginning June 2026

Open chat today ~ Bring your Power BI or Fabric questions and answers! Be sure to mask any sensitive or proprietary data.

Also, bring your ideas/post we should share and discuss on future Lunch box sessions.

The Databricks User Group Bucharest is back!

Adastra is proud to be hosting the next edition together with Databricks on June 30, 2026 and we have a great evening lined up for the local data community.

📍 Location: Mindspace Victorie-Main Lounge, Bulevardul Ion Mihalache 15-17 011171 Bucharest

🗓️ Date: Tuesday, 30 June 2026
Agenda

Registration & Kick off
18:00 - 18:30 Welcome and DAIS Recap by Xintia Gyenge, Databricks
Break
18:35 - 19:05 Presentation by Alexandru Antonescu, Banca Comercială Română
Break
19:10 - 19:40 "Real-World Success: The Dr. Max Journey"
Networking

If you work with data in Romania, this is your community. See you on June 30! 👇

https://usergroups.databricks.com/events/details/databricks-user-groups-databricks-user-group-bucharest-presents-2-databricks-user-group-bucharest/

Welcome to our next Eindhoven Data Community meetup, this time hosted at Weheat's factory in Duizel! The evening is built around one red thread that any fast-growing data organization will recognize: how do you scale self-service analytics as a company grows, without losing confidence along the way? It's a question about the choices, trade-offs, and engineering practices that keep analytics fast and trustworthy as a company outgrows asking the analytics team for everything. And to top it all off, the evening wraps up with a tour of the amazing factory facilities at Weheat!

About Weheat
Weheat is a young, innovative player in the heat pump market, founded just five years ago and rooted in high-tech manufacturing rather than the traditional HVAC industry. Based in Duizel, just outside Eindhoven, Weheat benefits from the innovative spirit of Brabant's Brainport region. There flagship product, the Blackbird, is a propane heat pump that stands out for its performance, sustainability, design and ease of use. Features such as 4G connectivity and an advanced online portal for remote diagnostics and maintenance underline our innovative approach. Through "design for manufacturing," Weheat keeps production efficient and scalable, with short lead times and direct lines to installers. There mission is to transform the way we heat our homes, delivering heat pumps that are efficient, sustainable, and easy to use.

Weheat: Scaling Analytics as Fast as We Scale the Fleet at Weheat
Every heat pump installation becomes a sensor stream waiting to be asked a question about field performance, fault patterns, install quality, COP. For a while, you answer those questions by asking the analytics department. Then the fleet grows 10× year over year, and that stops working. Self-service analytics is the obvious answer, but "self-service" means something different at every stage of a company. From a Python package to natural language question & answering. In this talk we want to highlight how Weheat scaled analytics at the pace of a fleet growing from 100 to 10K+ heat pumps, without scaling the team behind it. A look at the three reinventions of self-service, the choices and mistakes that shaped each one, and an honest provocation about what the next phase looks like.

Xebia: AI Agents for Self-Serve Data Engineering
AI-powered agents can help data engineering teams move faster, but speed is not enough! In data engineering, outputs need to be validated, reviewed, and governed before they can become trusted data pipelines. Discover how AI agents can support data engineering without becoming a black box. How can teams use AI agents, where traditional engineering practices remain non-negotiable, and how to design AI-assisted workflows that stay transparent and reliable.

Program
- 17:00 – 18:00 Food
- 18:00 – 18:10 Welcome
- 18:10 – 19:00 Kjell | Scaling Analytics as Fast as We Scale the Fleet at Weheat
- 19:00 – 19:15 Break
- 19:15 – 20:00 Eduardo & Prashant | AI Agents for Self-Serve Data Engineering
- 20:00 – 20:45 Factory tour
- 20:45 – 21:00 Drinks

About Kjell van Straaten | WeFabricate & Weheat
Kjell leads the software, data, and AI strategy and vision at WeFabricate, responsible for the connective tissue between systems, processes, and people across the organization. After a stint at Amazon's EU HQ in Luxembourg, he moved back to Eindhoven and joined WeFabricate/Weheat about four years ago to bring these disciplines to the manufacturing and energy industries, building the foundations from the ground up. His work has spanned most of the stack: PLM, ERP, and MES; machine integrations; the custom application software Weheat runs on; ICT; the data platform on Databricks; and now the further agentification of the enterprise. Central to his approach is the belief that durable platforms are built by maturing one-off solutions into reusable capabilities, and that the role of software, data, and AI is ultimately to enable the people doing the actual work. All in service of WeFabricate and Weheat's ambition to transform and disrupt the manufacturing and energy sectors.

About Eduardo Gonzalez | Machine Learning Engineer at Xebia
Eduardo is a Machine Learning Engineer with a PhD in Architecture of Information Systems and nearly a decade of professional experience in full stack development, ML/NLP, and research. Currently at Xebia Data, he specializes in developing agentic systems, MLOps solutions, and AI-based applications. His expertise spans the full technology stack, from algorithm design and model optimization to cloud infrastructure and DevOps practices. With a strong foundation in process mining, distributed systems, and data analysis, combined with proficiency in Python, JavaScript, and cloud platforms (AWS, GCP, Azure), Eduardo is a versatile technologist who bridges research and production systems.

About Prashant Srivastava | Machine Learning Engineer at Xebia
Prashant is a Machine Learning Engineer at Xebia Data with experience in Generative AI, Data Science, MLOps, and Cloud Platforms. His work focuses on building AI systems, scalable machine learning platforms, and data workflows using services such as Google Cloud Platform, Azure, and Databricks.

Practical info
The meetup takes place at Weheat's factory, located at Wolverstraat 23 in Duizel. There's a bus from Eindhoven Centraal that drops you off right in front of the factory (bus stop Wolverstraat), or it's roughly a 20-minute drive from Eindhoven. There is ample free parking on location.

Please note: because the evening includes a tour of the production floor, all participants will be asked to sign an NDA at the entrance for the factory tour.

Business leaders are surrounded by dashboards, reports, and KPIs.
The challenge is that most of them tell us what has already happened.
What if your business could identify risks, opportunities, customer behaviour changes, staff issues, sales trends, or operational challenges before they become major problems?
Join us for an engaging evening exploring Signal-Led Analytics — a new way of thinking about business data that focuses on detecting meaningful signals early, enabling faster and more informed decision-making.

✅ Why traditional reporting is often reactive rather than proactive
✅ The difference between KPIs and business signals
✅ How businesses can identify emerging risks and opportunities sooner
✅ Using data to support better operational and strategic decisions
✅ Practical examples from recruitment, HR, sales, operations, customer engagement, and business growth
✅ How AI and modern analytics technologies are changing the way organisations operate

🚀 We will also be sharing exclusive snippets and an early preview of our first business platform built around Signal-Led Analytics.
The platform is designed to help organisations move beyond simply reporting what happened and towards understanding what requires attention now.
By focusing on meaningful signals rather than historical metrics alone, businesses can identify emerging risks, opportunities, operational issues, customer behaviour changes, and performance trends earlier, enabling faster and more informed decision-making.

This event is aimed at:

• Business Owners
• Entrepreneurs
• Directors
• Consultants
• Start-up Founders
• Managers
• Data and Analytics Professionals
• Anyone interested in innovation, AI, and business growth

The evening will provide an opportunity to connect with members of the North East Business Meetup and our sister community, the North East Power BI Meetup.
By bringing together business leaders, entrepreneurs, analysts, developers, and technology professionals, we hope to create valuable conversations that bridge business challenges and data-driven solutions.

📅 Date: To Be Confirmed
📍 Location: Newcastle City Centre (venue details to be announced soon)
🎟️ Cost: Free to Attend

📢 Please invite your colleagues, business contacts, friends, and local business networks.
If your organisation is interested in business growth, innovation, AI, analytics, digital transformation, or building better decision-making capabilities, this event is for you.
Please share this event within your workplace and professional networks.
Together, let's build stronger business and technology communities across the North East.
We look forward to welcoming you to Newcastle and exploring how businesses can move from simply measuring performance to detecting signals that drive action.

REGISTRO (Obligatorio para poder acceder a las instalaciones de REPSOL):

https://events.databricks.com/back-from-summit-madrid

¿Te perdiste el Data+AI Summit 2026 que se celebra en San Francisco del 15 al 18 de junio ?
Únete a la comunidad de data+AI más activa de España en el Databricks "Back-from-DAIS" Meetup en REPSOL Auditorium — un evento exclusivo donde traemos novedades del Data+AI Summit a Madrid.

Descubre los lanzamientos de producto más relevantes, conoce casos reales de implementación en empresas españolas, y haz networking con más de 300 profesionales de Data & AI! Esta edición estará centrada en casos de aplicación de Inteligencia Artificial.

Agenda
17:00 Registro y recepción de asistentes
17:30 Bienvenida y Apertura
Juan José Casado, Chief Digital Officer, Repsol
Yannis Daubin, VP - SEMEA, Databricks
17:50 Scaling at Scale: The Journey of RAIP and Genie Code
Víctor Vaquero, Senior Data Scientist, Repsol
Emilio Martí​​​​​​​n, Principal Data Scientist, Repsol
18:15 Why Enterprise AI needs to Touch the Real World
Milos Colic, VP of Engineering, Xoople
18:40 Presentacion 3 (TBC)
19:05 Novedades Databricks. Data + AI Summit
Javier Gallardo, Strategic Account Executive, Databricks
Eloy Rama, Senior Manager, Databricks
19:30 Cierre evento
Daniel Escuder, Global Head of Data, Repsol
19:40 - 20:30 Networking

Et si vos données faisaient la différence pour la biodiversité du littoral ?

👋 L'inscription à l'événement se fait via notre site web

Et si vos données faisaient la différence pour la biodiversité du littoral ?

Le Wagon Lille, en partenariat avec Data for Good, BioLit et l'APEC, vous invite à deux soirées pour contribuer à un projet concret à impact environnemental.

Sur deux sessions guidées, vous créerez des visualisations de données pour BioLit, programme de sciences participatives sur la biodiversité marine, dont les résultats seront publiés sur leur site internet pour aider chercheur(euse)s et contributeur(trice)s à mieux étudier et préserver nos littoraux.

À qui s'adresse cet événement ?
Cet événement est ouvert à toutes et tous, quel que soit votre niveau, débutant(e)s bienvenu(e)s !
Aucun prérequis technique n'est nécessaire.
L'outil utilisé, Metabase ne demande aucune expérience préalable en programmation.

Pour vivre l'expérience complète et voir votre projet prendre vie, nous vous recommandons vivement de participer aux deux sessions : c'est lors de la deuxième soirée que vous pourrez finaliser vos visualisations et voir le résultat concret de votre travail !

Il suffit d'apporter votre ordinateur et d'être présent(e) dès le début de la première session.

Ce que vous apprendrez :
✅ Créer des visualisations de données concrètes avec Metabase (drag & drop et initiation au SQL)
✅ Travailler en équipe sur un projet réel à impact écologique et social, de la donnée brute à la publication en ligne
✅ Découvrir les enjeux et les métiers de la data à travers une expérience pratique et collaborative

📅 Infos pratiques
🗓️ 2 sessions les Jeudi 2 juillet et 9 juillet – 17h30 à 20h30
📍APEC de Lille – Tour LillEurope, 11 Parv. de Rotterdam 23ème étage, Lille
🔥 Événement gratuit, inscrivez-vous vite ici !
🤝 Partenaires : Data for Good - BioLit - APEC

🚂 À propos du Wagon

Le Wagon est l’un des leaders mondiaux des formations intensives en Développement Web, Data et No-code.

Depuis 2013, nous formons des professionnels en quête d’évolution, des esprits créatifs ou des entrepreneurs aux métiers de la Tech.
À temps plein ou à temps partiel, sur l’un de nos 40 campus dans le monde ou en ligne, nos formateurs passionnés enseignent à nos apprenants les compétences les plus recherchées par les entreprises à travers une pédagogie basée sur la pratique.
Rendez-vous sur lewagon.com pour accélérer votre carrière et rejoindre une communauté internationale de plus de 30 000 personnes !

Turn raw data into compelling stories—master Power BI and Tableau to build stunning, interactive dashboards that drive smarter decisions.

Group Discounts:

• Save 10% when registering 3 or more participants
• Save 15% when registering 10 or more participants

About This Course

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

If you would like weekend training sessions, kindly reach out to us at contact@academyforpros.com for availability and scheduling.

Course Overview:

The Data Visualization (Power BI & Tableau) course enables you to turn complex data into compelling stories and visual dashboards using the most popular visualization tools in the industry. Learn how to import, clean, and visualize data using Power BI and Tableau, while creating dynamic dashboards and reports that support data-informed decision-making.

Learning Objectives:

By the end of this course, you will:

• Import and transform data in Power BI and Tableau
• Build interactive visual dashboards aligned with business goals
• Apply visualization best practices for audience engagement
• Use calculated fields and DAX formulas where necessary
• Create and share compelling data stories with stakeholders
• Understand which tool to apply for different analytics scenarios

Target Audience:

Data analysts, business intelligence professionals, and decision-makers.

Why is it right fit for you:

This course is ideal for professionals looking to make a greater impact with data-driven storytelling. Whether you're already analyzing data or moving into visual analytics, this hands-on training will help you create dashboards that capture attention and drive strategic conversations. With practical comparison of Power BI and Tableau, you’ll understand the strengths of each tool and leave with the confidence to choose the right platform for your business needs.

©2026 Academy for Pros. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

Want to enable your team to visualize and communicate insights more effectively?

We offer customized in-house data visualization training using the tools your organization uses most. Curious how Power BI or Tableau can transform your reporting culture? Let us design a practical workshop for your data and business needs.

📧 Contact us today to schedule a customized in-house session: contact@academyforpros.com

Dear Datamonsters Ruhrgebiet / Niederrhein,

we'd love to meet you in person for our event and have a great session and discussion with Katharina Ricken und Oliver Engels about Data Literacy . :-)
For details please check our website.

The event is taking place in the Milestone office (thanks to Peter). We'll open the doors for the event at 6pm for arrival and socializing, the session starts at 6:30 pm.
Parking is available on-site.

The more, the marrier, so join us. :-)

Best regards,
Peter, Klaus and Gabi

Discover how to turn raw data into insights with Python. Learn to use Pandas, NumPy, and Matplotlib in a hands-on, beginner-friendly session

Bring your team and save:

1. Groups of three or more receive a 10% discount

2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.

For more information on venue address, reach out to "contact@academyforpros.com"

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

Course Overview:

The Python for Data Science course provides the essential skills to analyze, visualize, and interpret data using Python. You’ll learn to use popular libraries like Pandas, NumPy, Matplotlib, and Seaborn to explore datasets and uncover insights. Designed for aspiring data scientists and analysts, this course bridges core programming with data-driven decision-making — empowering you to start your journey in the world of data science.

Learning Objectives:

By the end of this course, you will:

• Use Python libraries to load, explore, and manipulate data
• Apply data cleaning techniques to prepare data for analysis
• Create visualizations to convey patterns and insights
• Understand the basics of machine learning workflows
• Perform data-driven decision-making with confidence
• Start your journey toward becoming a skilled data analyst or scientist

Target Audience:

Aspiring data scientists, analysts, developers, and students.

This course is designed for anyone ready to explore the world of data science using Python, regardless of prior experience. With expert guidance and real-world datasets, you’ll learn to make sense of data and present your findings visually. Our hands-on approach ensures you don’t just learn theory, but also apply it through practical exercises. Plus, Python is the most popular language in data science — learning it unlocks opportunities in AI, analytics, automation, and more.

©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

Want to build a data-driven culture within your team?

We offer customizable in-house Python for Data Science training tailored to your organization's goals and data challenges. Looking to upskill your workforce in data handling and analysis? Let us design a program that fits your needs.

📧 Contact us today to schedule a customized in-house session: corporate@mangates.com

🎉 Event #25 – The Analytics Engineering Meet-up 🎉

The London Analytics Engineering Meet-up - Hosted by Wise!

Speakers:
Emanuela Ciotti - Head of Enterprise @ Compare the Market

2nd speaker TBC

📅 RSVP opens 15th June (3.5 weeks before the event). This event will be over-subscribed, so set a reminder — you won’t want to miss it!

📍 Agenda
6pm – Doors open, networking, food & drinks
7pm – Talks kick off
8:30pm – More drinks & networking @ local pub

This is a fantastic opportunity to connect with some of the UK’s top data professionals, share challenges, and exchange learnings.
We are always looking to improve the event and get new ideas for talks, if you could please fill out a feedback form, this will help us continue to improve!

The Analytics Engineering Meet-up is a community for data professionals working with the modern data stack, machine learning or AI.
We host regular meet-ups featuring talks from data leaders building and scaling analytics, data platforms, and AI in forward-thinking teams.
The community is ideal for Data Engineers, Analytics Engineers, Analysts, and those working in Data Science, Machine Learning, or AI.

The Analytics Engineering Meet-up is organised by Cognify — a specialist recruitment partner for teams working across the modern data stack, machine learning & AI.
If you’re looking to hire top data talent or exploring your next move in data, feel free to reach out to the Cognify team — we’re always happy to help and chat through the market.

Our sponsor is Omni, an AI-powered BI platform that helps people use data to do their best work. Whether users prefer AI, Excel, point-and-click exploration, or SQL, Omni enables fast, trusted answers from a governed semantic model.

If you’re eager to dive deeper into industry insights, check out The Stacked Data Podcast for conversations with industry leaders:
Listen on: Spotify Youtube or Apple Podcast

Your feedback is so valuable to us, we'd love to hear from you to help us continue to improve, Feedback Form here

No-Show Policy:

• If you miss 2 consecutive events or 2 out of 3 events, you wont be able to attend the next event. We hope you understand this is to keep things fair for venues and other attendees.

Turn raw data into compelling stories—master Power BI and Tableau to build stunning, interactive dashboards that drive smarter decisions.

Group Discounts:

• Save 10% when registering 3 or more participants
• Save 15% when registering 10 or more participants

About This Course

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

If you would like weekend training sessions, kindly reach out to us at contact@academyforpros.com for availability and scheduling.

Course Overview:

The Data Visualization (Power BI & Tableau) course enables you to turn complex data into compelling stories and visual dashboards using the most popular visualization tools in the industry. Learn how to import, clean, and visualize data using Power BI and Tableau, while creating dynamic dashboards and reports that support data-informed decision-making.

Learning Objectives:

By the end of this course, you will:

• Import and transform data in Power BI and Tableau
• Build interactive visual dashboards aligned with business goals
• Apply visualization best practices for audience engagement
• Use calculated fields and DAX formulas where necessary
• Create and share compelling data stories with stakeholders
• Understand which tool to apply for different analytics scenarios

Target Audience:

Data analysts, business intelligence professionals, and decision-makers.

Why is it right fit for you:

This course is ideal for professionals looking to make a greater impact with data-driven storytelling. Whether you're already analyzing data or moving into visual analytics, this hands-on training will help you create dashboards that capture attention and drive strategic conversations. With practical comparison of Power BI and Tableau, you’ll understand the strengths of each tool and leave with the confidence to choose the right platform for your business needs.

©2026 Academy for Pros. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

Want to enable your team to visualize and communicate insights more effectively?

We offer customized in-house data visualization training using the tools your organization uses most. Curious how Power BI or Tableau can transform your reporting culture? Let us design a practical workshop for your data and business needs.

📧 Contact us today to schedule a customized in-house session: contact@academyforpros.com

The Chester Tech Meetup is a quarterly in person event aimed to connect local tech professionals, provide useful insights and share interesting talks from a variety of tech professionals across the North West.

We are excited to announce that for this event, we have three speakers who will be discussing Finance & Technology: Intelligence, Automation & Innovation.

This event is in partnership with Alteryx! Alteryx delivers consistent, explainable outcomes by automating the logic behind data. For more than 25 years, they've helped thousands of organisations connect, prepare, and automate messy data, empowering business teams to drive trusted decisions at scale without coding.

Speakers on the night will be:

• Joe Paget - Founder @ 4thRevolution Analytics
• Holly Jukes - Head of Engineering @ Lloyds Banking Group
• Izam Ryan - Associate Director @ K3 Advantage

There'll be time to network in between talks, and Searchability will of course put on plenty of good food and make sure our (complimentary) bar is well stocked for all attendees!

Once the talks are done, our presenters have agreed to do a panel based Q + A session to answer any questions you have before the meetup or as a result of the presentations they make. See the link below to register some questions for our panel early doors...

https://app.sli.do/event/pHtjWjBdwuuiMNACpYkLHT/live/questions

It's free to attend but spots are limited so you must RSVP to secure your place - let us know you are attending by registering on here or contact our hosts Dave Henderson at dave.henderson@searchability.com & Gabbi Trotter at gabbi.trotter@searchability.com directly!

Envie de maîtriser Power BI ? Rejoins-nous et découvre comment analyser tes données comme un pro et créer des tableaux de bord interactifs.

Envie de maîtriser Power BI ? Rejoins-nous pour découvrir comment analyser tes données comme un pro et créer des tableaux de bord interactifs ultra pratiques. Que tu sois débutant ou déjà un peu calé, cet événement te donnera toutes les clés pour exploiter tes données facilement et booster ta prise de décision. Prêt à transformer tes chiffres en insights puissants ?

Objectifs de la formation

À l’issue de la formation, les participants seront capables de :

Construire un modèle de données optimisé pour le DAX

Comprendre et maîtriser les contextes DAX

Créer des mesures complexes et performantes

Réaliser des analyses temporelles avancées

Développer des KPI métier fiables

Concevoir des tableaux de bord dynamiques et interactifs

Publier et sécuriser des rapports Power BI

Prérequis

• La connaissance de l’environnement de Power BI Desktop est un plus
• Bonne connaissance d’ Excel (utilisation des formules ou TCD)
• Notions de modélisation de données
• Aucune maîtrise préalable du DAX avancé requise

Profils des participants

• Analystes BI / Data Analysts
• Contrôleurs de gestion
• Responsables financiers, marketing ou commerciaux
• Consultants BI
• Chefs de projet data
• Utilisateurs Power BI souhaitant approfondir le DAX

Envie de maîtriser Power BI ? Rejoins-nous et découvre comment analyser tes données comme un pro et créer des tableaux de bord interactifs.

Envie de maîtriser Power BI ? Rejoins-nous pour découvrir comment analyser tes données comme un pro et créer des tableaux de bord interactifs ultra pratiques. Que tu sois débutant ou déjà un peu calé, cet événement te donnera toutes les clés pour exploiter tes données facilement et booster ta prise de décision. Prêt à transformer tes chiffres en insights puissants ?

Objectifs de la formation

À l’issue de la formation, les participants seront capables de :

Construire un modèle de données optimisé pour le DAX

Comprendre et maîtriser les contextes DAX

Créer des mesures complexes et performantes

Réaliser des analyses temporelles avancées

Développer des KPI métier fiables

Concevoir des tableaux de bord dynamiques et interactifs

Publier et sécuriser des rapports Power BI

Prérequis

• La connaissance de l’environnement de Power BI Desktop est un plus
• Bonne connaissance d’ Excel (utilisation des formules ou TCD)
• Notions de modélisation de données
• Aucune maîtrise préalable du DAX avancé requise

Profils des participants

• Analystes BI / Data Analysts
• Contrôleurs de gestion
• Responsables financiers, marketing ou commerciaux
• Consultants BI
• Chefs de projet data
• Utilisateurs Power BI souhaitant approfondir le DAX

Envie de maîtriser Power BI ? Rejoins-nous et découvre comment analyser tes données comme un pro et créer des tableaux de bord interactifs.

Envie de maîtriser Power BI ? Rejoins-nous créer des tableaux de bord interactifs ultra pratiques. Que tu sois débutant ou déjà un peu calé, cet événement te donnera toutes les clés pour exploiter tes données facilement et booster ta prise de décision. Prêt à transformer tes chiffres en insights puissants ?

Objectifs de la formation

À l’issue de la formation, les participants seront capables de :

Construire un modèle de données optimisé pour le DAX

Comprendre et maîtriser les contextes DAX

Créer des mesures complexes et performantes

Réaliser des analyses temporelles avancées

Développer des KPI métier fiables

Concevoir des tableaux de bord dynamiques et interactifs

Publier et sécuriser des rapports Power BI

Prérequis

• La connaissance de l’environnement de Power BI Desktop est un plus
• Bonne connaissance d’ Excel (utilisation des formules ou TCD)
• Notions de modélisation de données
• Aucune maîtrise préalable du DAX avancé requise

Profils des participants

• Analystes BI / Data Analysts
• Contrôleurs de gestion
• Responsables financiers, marketing ou commerciaux
• Consultants BI
• Chefs de projet data
• Utilisateurs Power BI souhaitant approfondir le DAX

Postgres conference in Valencia, Spain

Dublin's leading data science networking event - connect with data scientists, ML engineers, and analysts