------ Welcome\, London R Users! ------

Happy New Year, and welcome to 2026!

We’re excited to kick off 2026 with fresh energy and plenty of R fun ahead!

As before, the event will be brought to you by Datacove. We are a Data and Analytics Consultancy Team based in Brighton, with experience in founding many well-attended R & Python events. Plus, home of the EARL Conference! We work across multiple streams - from marketing and customer analytics, to bespoke dashboards, process automation, and training! :)

We will be supported by the generous team, organised by Matt Nixon, at Incubeta, London. Hosted by Laura Mawer and Jeremy Horne from Datacove.

------ !! Please Note !! *------ This is a paid event.* Your ticket entitles you to pizza and drink options (soft and alcoholic beverages available).

As standard, we cater for Vegetarian, Vegan, and GF. Please contact an organiser for any other requirements.

You can book your tickets online through Ticket Pass at a discounted rate:

• General Admission: £8 online / £10 at the door
• Student Admission: £4 online / £5 at the door

Students must bring an NUS card or any other form of student ID. Cash and card accepted on the door.

------ Talk Information ------ Coming soon

------ Timing Information ------ 6pm: Arrival and greetings from our team. 6:15pm: Food and drinks are served while networking. 6:40pm: Introduction to the event commences. 6:45pm: Talks commence. 8:00pm: Talks conclude. 8:10pm: Networking continues. 8:30pm: Event moves to the local pub.

------ Sponsorship Information ------ Our event relies heavily on sponsorship from companies that attend. Please contact the organisers or [email protected] to get involved.

------ Arrival Instructions ------ Please arrive at The Bower and locate the reception, where staff will be there to guide you to the correct floor.

What3Words: magma.clip.achieving

------ Registration Etiquette ------ At our meetups, the event is sometimes capped by the space. We’re committed to keeping these events accessible for everyone, but to make that possible, we need your help. Please ensure your registration is kept up to date. If your plans change, simply update your RSVP to reflect your availability. Thank you for your understanding and cooperation.

Please feel free to spread the word. We look forward to seeing you all again!

Join R-Ladies Ottawa for a casual evening of programming on Tuesday, January 27th. We'll be participating in TidyTuesday, a weekly data visualization challenge organized by the R for Data Science community.

What is TidyTuesday?

Every week, a new dataset is posted online on the TidyTuesday GitHub repo, and folks from around the world create data visualizations using the dataset. It's an opportunity to put your programming skills into practice using real-world data in a way that's fun! It's also a great way for everyone to learn from each other, by sharing their visualizations and code.

What will the dataset be?

Even we don't know that (yet)! We'll have to wait until the day before the event to know what data we'll be working with. If you're interested in seeing some past datasets, take a look at the examples below, or visit the TidyTuesday GitHub repo to see all of the datasets dating back to 2018.

Examples from past TidyTuesdays:

• Donuts, Data, and D'oh - A Deep Dive into The Simpsons
• Pokemon
• What have we been watching on Netflix?

Do I have to use R?

No! You can use any programming language or visualization software that you want. In fact, Python users from around the globe participate in "TyDyTuesday" on a weekly basis.

Who is this event for?

No previous programming experience is required to participate, and we'll have experienced programmers in the room who can help you get started (or unstuck), if needed.

...But if you want to get the most out of the event, a good way to prepare is to watch the recording of the introduction to data visualization workshop we hosted back in 2024. :)

What should I bring?

• Please bring a laptop so you can code along. We recommend that you have RStudio or another IDE (such as VS Code or Positron) installed ahead of time, but we can help you get one installed if needed!
• Come ready to learn, share, and contribute to a safe and welcoming community!

How will this event work?

• First few minutes of the event: Introductions, and taking a look at the dataset together as a group.
• Time to create a data visualization using the language or software of your choice, either on your own or with a (new) friend! Grab a free snack while you're at it :)
• Last \~30 minutes of the event: Show and tell session for anyone who would like to share their creation with the group.

What else do I need to know?

This event (like all R-Ladies events) is totally FREE to attend.

The event will take place at Bayview Yards, which is located just a few steps away from the Bayview O-Train station. There is also a free parking lot available for those who are driving. You can find us in the "Training Room", which is on the second floor of the Bayview Yards building.

This is an in-person event with limited space! Please only RSVP if you are able to attend in-person!

***Please note that the mission of R-Ladies is to increase gender diversity in the R community. This event is intended to provide a safe space for women and gender minorities. We ask for male allies to be invited by and accompanied by a woman or gender minority.***

We’re grateful to be part of the Bayview Meetups initiative and extend our thanks to Bayview Yards for generously providing the venue space.

REGISTER BELOW FOR MORE AVAILABLE DATES! ↓↓↓↓↓ https://luma.com/stelios

-----------------------------------------------------------------------------------

Who is this for?

​Students, developers, and anyone interested in using Large Language Models (LLMs) to build real software solutions with ** Python.

​Tired of vibe coding with AI tools? Want to actually understand and own your code, instead of relying on black-box magic? This session shows you how to build LLM systems properly, with full control and clear engineering principles. ​ Who is leading the session?

​The session is led by Dr. Stelios Sotiriadis, CEO of Warestack, Associate Professor and MSc Programme Director at Birkbeck, University of London, specialising in cloud computing, distributed systems, and AI engineering.

​Stelios holds a PhD from the University of Derby, completed a postdoctoral fellowship at the University of Toronto, and has worked on industry and research projects with Huawei, IBM, Autodesk, and multiple startups. Since moving to London in 2018, he has been teaching at Birkbeck. In 2021, he founded Warestack, building software for startups around the world. ​ What we’ll cover?

​A hands-on introduction to building software with LLMs using Python, Ollama, and LiteLLM, including:

• ​How LLMs, embeddings, and agents work.
• ​Calling local models with Ollama or cloud models (OpenAI, Gemini and more).
• ​Using LiteLLM for custom prompts and tool-calling.
• ​Building simple agents from scratch.
• ​Introduction to RAG (Retrieval-Augmented Generation).
• ​Working with vector databases (ChromaDB) and vector similarity search library (FAISS).
• ​Storing, searching, and retrieving embeddings.
• ​Introduction to Streamlit for interactive data apps.
• ​End-to-end examples you can run on your own machine.

​This session focuses on theory, fundamentals and real code you can re-use.

​Why LiteLLM?

​LiteLLM gives you low-level control to build custom LLM solutions your own way, without a heavy framework like LangChain, so you understand how everything works and design your own architecture. A dedicated LangChain session will follow for those who want to go further.

​What are the requirements?

​Bring a laptop with Python installed (Windows, macOS, or Linux), along with Visual Studio Code or a similar IDE, with at least 10GB of free disk space and 8GB of RAM.

​This space is needed for running local models during the workshop. ​If you don’t have a suitable laptop, please contact Stelios ([email protected]) before registering.

​What is the format?

​A 3-hour live session with:

• ​Interactive theory blocks
• ​Hands-on coding
• ​Step-by-step exercises
• ​Small group support
• ​Three 10-minute breaks
• ​Q&A and class quizzes

​This is a highly practical, hands-on class focused on code and building working LLM systems.

​What are the prerequisites?

​A good understanding of programming with Python is required (basic to intermediate level). I assume you are already comfortable writing Python scripts.

​What comes after?

​Participants will receive an optional mini capstone project with one-to-one personalised feedback.

​Is it just one session?

​This is the first session in a new sequence on applied AI, covering agents, RAG systems, vector databases, and production-ready LLM workflows. Later sessions will dive deeper into topics such as embeddings with deep neural networks, LangChain, advanced retrieval, and multi-agent architectures.

​You can decide afterwards whether you’d like to join future sessions.

​How many participants?

​To keep this interactive, only 15 spots are available. Please register as soon as possible.

Introduction: Welcome to the last meetup of the year! This time we have again a great international name all the way from Denmark, Kaspar is a veteran of the Cloud Native community and an inspiration to many.

Agenda: 🤝17:30-18:10 Walk-in 👀 18:10-18:15 Welcome from Dash0 🎤 8:15-18:45 1st Talk: "Breaking Free with Open Standards: OpenTelemetry and Perses for Observability" by Kasper Borg Nissen, Principal Developer Advocate at Dash0 🍕18:45-18:55 Break & food 🎤18:55-19:40 2nd talk: "Lessons learn creating Walrus (High Performance kafka alternative written in Rust)" by Daksh R, 🍻20:30 - 21:30 Networking & drinks (open for impromptu lighting talk) 📌21:30 End

1st Talk: Title: Breaking Free with Open Standards: OpenTelemetry and Perses for Observability Description: Observability is the backbone of modern cloud-native applications, but many organizations find themselves locked into proprietary tools with rising costs, rigid ecosystems, and limited flexibility. In this talk, we’ll explore how open observability standards like OpenTelemetry for instrumentation and Perses for monitoring-as-code are transforming the landscape by enabling vendor-neutral, scalable, and future-proof observability stacks. We’ll start with an introduction to OpenTelemetry, covering how to get started, instrument applications, and provide developer-friendly abstractions for seamless auto-instrumentation. From there, we’ll dive into Perses, a CNCF Sandbox project that brings open, declarative, and portable dashboards to observability. By building on these open standards, organizations gain the freedom to mix and match storage, visualization, and analytics tools without being tied to a single vendor. Join this session to learn how OpenTelemetry and Perses can help you scale observability, stay in control of your data, and ensure developers get the insights they need exactly when they need them.

Bio: Kasper is a CNCF Ambassador, former KubeCon+CloudNativeCon Co-Chair, Golden Kubestronaut, KCD Organizer, and CNCG Group Organizer. He co-founded Cloud Native Nordics to unite meetups across the region. As a Principal Developer Advocate at Dash0, he helps make observability easy for developers by advocating for better tooling, best practices, and seamless integrations.

2nd Talk: Title: Lessons learn creating Walrus (High Performance kafka alternative written in Rust)" by Daksh R,

Description:

Bio: Photography/Video consent:

We will be taking photos and videos during the event and will use these photos and videos for social media and promotional materials. By coming to the meet-up, you give us your consent to take photos and videos of you.

Code of Conduct: All members are required to agree with the Berlin Code of Conduct.

Directions: The meetup will take place at Mindstone Amsterdam offices in Singel. Parking is limited, but the venue is easily accessible by public transport or by bike.

Important notes:

• Please inform us on any allergies or dietary restrictions so we can ensure everyone enjoys the food.
• Keep your RSVP up to date, we're counting on you to be there and share in the excitement.
• Let's have a great evening together!

EXPLORE THIS INDISPENSABLE AND COMPREHENSIVE GUIDE TO TIME SERIES ANALYSIS FOR STUDENTS AND PRACTITIONERS IN A WIDE VARIETY OF DISCIPLINES Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference delivers an accessible guide to time series analysis that includes both theory and practice. The coverage spans developments from ARIMA intervention models and generalized least squares to the London School of Economics (LSE) approach and vector autoregression. Designed to break difficult concepts into manageable pieces while offering plenty of examples and exercises, the author demonstrates the use of lag operator algebra throughout to provide a better understanding of dynamic specification and the connections between model specifications that appear to be more different than they are. The book is ideal for those with minimal mathematical experience, intended to follow a course in multiple regression, and includes exercises designed to build general skills such as mathematical expectation calculations to derive means and variances. Readers will also benefit from the inclusion of: A focus on social science applications and a mix of theory and detailed examples provided throughout An accompanying website with data sets and examples in Stata, SAS and R A simplified unit root testing strategy based on recent developments An examination of various uses and interpretations of lagged dependent variables and the common pitfalls students and researchers face in this area An introduction to LSE methodology such as the COMFAC critique, general-to-specific modeling, and the use of forecasting to evaluate and test models Perfect for students and professional researchers in the political sciences, public policy, sociology, and economics, Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference will also earn a place in the libraries of post graduate students and researchers in public health, public administration and policy, and education.

Continuation of the Introduction to R workshop series. This session covers data processing with dplyr, data visualization with ggplot2, and concepts such as loops, functions, and conditional statements. Participants are encouraged to bring their own data and follow along.

------ Welcome\, London R Users! ------

Welcome back!

As before, the event will be brought to you by Datacove. We are a Data and Analytics Consultancy Team based in Brighton, with experience in founding many well-attended R & Python events. Plus, home of the EARL Conference! We work across multiple streams - from marketing and customer analytics, to bespoke dashboards, process automation, and training! :)

We will be supported by the generous team, organised by Valerio Ficcadenti, at London Southbank University, in Elephant and Castle, London. Hosted by Abbie Brookes and Jeremy Horne from Datacove.

------ Talk One ------ TBC

------ Talk Two ------ TBC

------ Timing Information ------

6pm: Arrival and greetings from our team. 6:15pm: Food and drinks are served while networking. 6:40pm: Introduction to the event commences. 6:45pm: Talks commence. 8:00pm: Talks conclude. 8:10pm: Networking continues. 8:30pm: Event moves to the local pub.

------ Catering Information ------

Our event relies heavily on sponsorship from companies that attend. Please contact the organisers or [email protected] to get involved.

What to expect: light buffet & nibbles with vegan, vegetarian and meat options. Tap water also provided.

Please feel comfortable to bring your own snacks and drinks in.

------ Arrival Instructions ------

Please read the instructions carefully below due to there being multiple LSBU buildings.

Arrive at the London Southbank University Business Building on Borough Road. Use the W3W to navigate to the front of the building. The room code is Floor One, Learning Lounge. Our staff will be inside the entrance to greet you.

What3Words: punk.single.enter

1.5-hour introductory workshop on the R programming language. Topics covered include: R as a calculator; basic data types and structures; reading data into R and exporting for external purposes; basic data processing; basic data visualization; loops, functions, and conditional statements.

DevOps Society Meetup – Thursday 9th October @6PM

Location: Colony Fabrica, 269 Great Ancoats St, Manchester, M4 7DB

We’re excited to invite you to our next DevOps Society Meetup, hosted at Colony Fabrica in Manchester. This event brings together the DevOps, AI, and cloud-native community for an evening of conversation, learning, and networking.

A huge thank you to Colony for providing the venue, and support!

Format of the Meetup: 6:00pm – 6:30pm — Networking on arrival, with pizza and drinks provided by ReVybe IT. 6:30pm – 7:10pm — First speaker will take to the stage 7:10pm – 7:20pm — Break for refreshments and networking 7:20pm – 8:00pm — Second speaker will take to the stage 8:00pm onwards — More networking at the venue and then at a nearby pub

Timings can vary depending on the length of the Q&A after each talk!

We are delighted to welcome two fantastic speakers to our event at Colony Fabrica.

SPEAKER 1 - Matt Houghton - Data & AI Architect @ CDL

AWS Community Builder \| AWS Ambassador \| AWS Gold Jacket Certification All-Star Matt is an Architect at CDL Software, where he spends his time undertaking R&D and working with customers and internal teams on their most complex challenges. He is an AWS Community Builder, AWS Ambassador, and holds every AWS certification. In 2021, Qlik recognised Matt as one of their 50 Global Luminaries for his measurable impact with data and community contributions.

Talk Title: Ensure the Security and Reliability of Your GenAI Workloads with Amazon Bedrock In this session, Matt will explore emerging risks associated with GenAI-based workloads and share strategies for testing, securing, and monitoring them using Amazon Bedrock. He’ll highlight and demonstrate some of the latest features announced for Amazon Bedrock, showcasing how they can help you design more effective and reliable GenAI workloads.

SPEAKER 2 - Ben Clark - DevOps Consultant Ben Clark is a DevOps consultant with over a decade of experience leading platform engineering and automation across large enterprises. He specialises in distributed systems, ML-Ops, and data engineering. Ben also maintains open-source projects at sudoblark.com and is pursuing a BSc in Computing and IT, focusing on the mathematics of machine learning and its application to constrained and embedded systems.

Talk Title: A Hands-On Introduction to Quantisation: From Neural Weights to Edge Deployment This session builds a working understanding of neural network weights using simple perceptrons, then explains how quantisation reduces model size and computation. Ben will walk through the practical steps of deploying a quantised model to a Raspberry Pi, demonstrating how these techniques make neural networks viable on constrained hardware.

Please RSVP to book your spot. Space is limited, so it’s first come, first served! We look forward to seeing you all there.

Ben & Vytas – Co-organisers.

This is PAID event. REGISTER HERE - https://lu.ma/psj48l0t

As a gesture of our appreciation for being part of ODSC Community, we are offering a 20% discount on the 6-week Bootcamp pass.

Apply code - COMMUNITY-20- to save more.

Level Up Your AI Skills This Fall! 🚀

Join us for an intensive 6-week virtual AI Bootcamp, a fantastic prelude to the renowned ODSC AI West Bootcamp in October! This isn't just any bootcamp; it's your chance to build a strong foundation in AI from the comfort of your home, all before experiencing the full, immersive 4-day event in person.

🚀And here's a pro-tip:

If you secure a pass for the ODSC AI West Bootcamp, you'll gain free access to this 6-week virtual training. It's the perfect way to maximize your learning experience and hit the ground running at ODSC West.

🚀 Curious to learn more? Head over to https://odsc.ai/west/bootcamp/ for all the details. Don't forget to use code COMMUNITYWest2025 at checkout for an extra discount!

If you choose to enroll in the 6-Week Virtual AI Bootcamp as a standalone event:

Over 6 weeks, gain a comprehensive understanding of AI, from foundational concepts in coding and machine learning to LLMs, AI Agents & RAG Here are the list of sessions you will be attending:

• AI & Machine Learning Modeling - September 9th, 2025
• Vibe Coding with AI (NEW) - September 11th, 2025
• Machine Learning Data Prep with Python - September 16th, 2025
• Introduction to Machine Learning - September 18th, 2025
• Large Language Models & Fine-Tuning - September 25th, 2025
• Introduction to RAG - October 2nd, 2025
• Introduction AI Agents - October 9th, 2025
• Build and Launch Your AI Project - October 16th, 2025

Regardless of your current skill level, this AI bootcamp will help transform you from AI novice to confident practitioner 🚀

If you’ve missed any, don’t worry—you still have access to the 13 sessions that passed including our On-Demand courses: * Data & Generative AI Literacy *.Data Wrangling With SQL * Linear Algebra * Statistics and Hypothesis Testing * Introduction to Math for Data Science

How it works 🌍 :

• Each course is 2.5 hours long and includes extra materials
• The primer series is taught live and then available on demand.
• If you miss the live course, each session is available on-demand as soon as you register.
• Each course includes exercises to improve learning outcomes.
• Coding expercises allow you to learn hands-on skills.
• Learn at your own pace. Courses can be taken alongside additional Ai+ courses - aiplus.training

Your Instructor🚀:

Sheamus McGovern, Founder and Engineer \| ODSC AI

Sheamus McGovern is the founder of ODSC AI (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

Some useful links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://aiplus.training/ • ODSC blog: https://opendatascience.com/ • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.ai/code-of-conduct/

This is PAID event. REGISTER HERE - https://lu.ma/psj48l0t

As a gesture of our appreciation for being part of ODSC Community, we are offering a 20% discount on the 6-week Bootcamp pass.

Apply code - COMMUNITY-20- to save more.

Level Up Your AI Skills This Fall! 🚀

Join us for an intensive 6-week virtual AI Bootcamp, a fantastic prelude to the renowned ODSC AI West Bootcamp in October! This isn't just any bootcamp; it's your chance to build a strong foundation in AI from the comfort of your home, all before experiencing the full, immersive 4-day event in person.

🚀And here's a pro-tip:

If you secure a pass for the ODSC AI West Bootcamp, you'll gain free access to this 6-week virtual training. It's the perfect way to maximize your learning experience and hit the ground running at ODSC West.

🚀 Curious to learn more? Head over to https://odsc.ai/west/bootcamp/ for all the details. Don't forget to use code COMMUNITYWest2025 at checkout for an extra discount!

If you choose to enroll in the 6-Week Virtual AI Bootcamp as a standalone event:

Over 6 weeks, gain a comprehensive understanding of AI, from foundational concepts in coding and machine learning to LLMs, AI Agents & RAG Here are the list of sessions you will be attending:

• AI & Machine Learning Modeling - September 9th, 2025
• Vibe Coding with AI (NEW) - September 11th, 2025
• Machine Learning Data Prep with Python - September 16th, 2025
• Introduction to Machine Learning - September 18th, 2025
• Large Language Models & Fine-Tuning - September 25th, 2025
• Introduction to RAG - October 2nd, 2025
• Introduction AI Agents - October 9th, 2025
• Build and Launch Your AI Project - October 16th, 2025

Regardless of your current skill level, this AI bootcamp will help transform you from AI novice to confident practitioner 🚀

If you’ve missed any, don’t worry—you still have access to the 13 sessions that passed including our On-Demand courses: * Data & Generative AI Literacy *.Data Wrangling With SQL * Linear Algebra * Statistics and Hypothesis Testing * Introduction to Math for Data Science

How it works 🌍 :

• Each course is 2.5 hours long and includes extra materials
• The primer series is taught live and then available on demand.
• If you miss the live course, each session is available on-demand as soon as you register.
• Each course includes exercises to improve learning outcomes.
• Coding expercises allow you to learn hands-on skills.
• Learn at your own pace. Courses can be taken alongside additional Ai+ courses - aiplus.training

Your Instructor🚀:

Sheamus McGovern, Founder and Engineer \| ODSC AI

Sheamus McGovern is the founder of ODSC AI (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

Some useful links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://aiplus.training/ • ODSC blog: https://opendatascience.com/ • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.ai/code-of-conduct/

This is PAID event. REGISTER HERE - https://lu.ma/psj48l0t

As a gesture of our appreciation for being part of ODSC Community, we are offering a 20% discount on the 6-week Bootcamp pass.

Apply code - COMMUNITY-20- to save more.

Level Up Your AI Skills This Fall! 🚀

Join us for an intensive 6-week virtual AI Bootcamp, a fantastic prelude to the renowned ODSC AI West Bootcamp in October! This isn't just any bootcamp; it's your chance to build a strong foundation in AI from the comfort of your home, all before experiencing the full, immersive 4-day event in person.

🚀And here's a pro-tip:

If you secure a pass for the ODSC AI West Bootcamp, you'll gain free access to this 6-week virtual training. It's the perfect way to maximize your learning experience and hit the ground running at ODSC West.

🚀 Curious to learn more? Head over to https://odsc.ai/west/bootcamp/ for all the details. Don't forget to use code COMMUNITYWest2025 at checkout for an extra discount!

If you choose to enroll in the 6-Week Virtual AI Bootcamp as a standalone event:

Over 6 weeks, gain a comprehensive understanding of AI, from foundational concepts in coding and machine learning to LLMs, AI Agents & RAG Here are the list of sessions you will be attending:

• AI & Machine Learning Modeling - September 9th, 2025
• Vibe Coding with AI (NEW) - September 11th, 2025
• Machine Learning Data Prep with Python - September 16th, 2025
• Introduction to Machine Learning - September 18th, 2025
• Large Language Models & Fine-Tuning - September 25th, 2025
• Introduction to RAG - October 2nd, 2025
• Introduction AI Agents - October 9th, 2025
• Build and Launch Your AI Project - October 16th, 2025

Regardless of your current skill level, this AI bootcamp will help transform you from AI novice to confident practitioner 🚀

If you’ve missed any, don’t worry—you still have access to the 13 sessions that passed including our On-Demand courses: * Data & Generative AI Literacy *.Data Wrangling With SQL * Linear Algebra * Statistics and Hypothesis Testing * Introduction to Math for Data Science

How it works 🌍 :

• Each course is 2.5 hours long and includes extra materials
• The primer series is taught live and then available on demand.
• If you miss the live course, each session is available on-demand as soon as you register.
• Each course includes exercises to improve learning outcomes.
• Coding expercises allow you to learn hands-on skills.
• Learn at your own pace. Courses can be taken alongside additional Ai+ courses - aiplus.training

Your Instructor🚀:

Sheamus McGovern, Founder and Engineer \| ODSC AI

Sheamus McGovern is the founder of ODSC AI (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

Some useful links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://aiplus.training/ • ODSC blog: https://opendatascience.com/ • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.ai/code-of-conduct/