Data Science Festival 2017

Topics covered at #datasciencefest

Saturday, 29th April at CodeNode, London

22 experts. will be speaking. Starts at 9:00 AM.


The Data Science Festival was a free, week long, annual, celebration of all things data science. The festival consisted of lectures, workshops, demos, code sprints, panel discussions and social events, spread across London.

The aim was to connect the data science community and foster the sharing of knowledge, inspiration and ideas. CodeNode was the venue for the Data Science Festival on Saturday, 29 April 2017.

Who is the Data Science Festival for?

  • Data engineers, analysts, scientists, and other practitioners

  • R, Python and other software engineers who work with data or want to learn

  • Data visualisation developers and designers

  • Non-technical team leads, executives, and other decision makers from data centric startups and large companies looking to utilise open source tools

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Day 1: Saturday 29th April

Check out these awesome sessions below!


War in HD: Conflict and Open Source Infomation

Nick Waters

open course conflict analysis mobile data-science-fest

How can we predict a successful data science project?

Jay Lui

data-science data-science-fest

A Beginners Guide to Weather and Climate Data

Margriet Groenendijk

climate models bigdata machine-learning data-science-fest

Less is More: Data Visualisations for Big Data

James Cheshire

complex-datasets data-visualisation big-data data-science-fest

Coffee Break


Learning at hyper-scale: creating the self-learning business

Mike Hyde

self-learning bigdata architecture big data data-science-fest

Using AI to understand Human Behaviour in the workplace

Ankur Modi

human-behaviour operational-visability ai data-science-fest

A practical look at putting data science in production

Shahzia Holtom

smart-search support-vector-machine agile-practices app data-science-fest

Word Embeddings for Natural Language Processing in Python

Marco Bonzanini

natural-language-processing python data-science-fest

One-by-one Is No Fun: Lessons learned writing Kafka ETL jobs

Dean Morin

kafka one-by-one-processing data-science-fest

Behind the scenes of training, managing and deploying machine learning models

Pawel Subko

commercial-machine git docker neptune deep-learning data-science data-science-fest



What “50 Years of Data Science” leaves out

Sean Owen

big-data critique statistics computer-engineering apache-hadoop spark data-science-fest

Anomaly Detection: A breakdown of Twitter’s Seasonal Hybrid ESD

Peter Tillotson

seasonal-hybrid-esd twitter data-learning data-science-fest

The Science of Visual Interactions

Miriam Redi

web-media-search advertising social-media machine-learning data-science-fest

Handling 1st line technical support with a chatbot

Barbara Fusinska

ai chatbots natural-language-processing machine-learning data-science-fest

Interactively Analyse 100GB of Data using Spark, Amazon EMR and Zeppelin.

Raoul-Gabriel Urma

big data data-processing python data-science-fest

Fashion Recommendations at ASOS: Challenges, Approaches and Learnings

Soraya Hausl and Roberto Pagliari

fashion-domain visual-browsing recommender-systems data-science data-science-fest



I went to work as an SQL programmer, and left as a hostage.

Peter Moore

case-study sql programming data-science-fest

How to Improve your Recommender System with Deep Learning: A Use Case

Alexandre Hubert

deep-learning recommender-systems dataiku data-science-fest

Reinventing Shop Direct’s customer contact strategy

Simon Hill

online-retailer communication-strategy data-learning data-science-fest

From PhD to life: using science to get a job in data

Gianluca Campanella

quadratic-programmes linear-regression robust-regression python financial-planning machine-learning data-science-fest

One of the most notable additions to the Microsoft BI stack is the addition of Microsoft R Server inside SQL Server 2016.

Oliver Frost

microsoft-bi sql-server data-science machine-learning scaler data-science-fest


CodeNode is the UK's largest venue dedicated to Technology events and was designed to provide a space for Skills Matter's community of software professionals to come together and enjoy meetups, conferences, training and networking events. With fantastic transport links and located in the heart of London's Tech City, Codenode welcomes thousands of engineers each year, who come together to learn and share skills, exoerience and collaborate on projects.

CodeNode features six dedicated event spaces, a large break-out area, complete with fully-licensed bar, reliable wifi, plenty of power sockets, and 6 dedicated event and collaboration spaces.



10 South Place, London, EC2M 7EB, GB

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