This 18-week bootcamp teaches you the skills you need to deliver data science projects effectively. You learn the core skills and concepts in data science whilst advancing to topics like deep learning and natural language processing to enable you to meet modern business needs. Every week, you’ll do two evening sessions that blend lecture and labs to ensure you get practical experience that will help you become a successful data scientist.
This unique accelerated Bootcamp covers the fundamentals that everyone will need in order to be successful in data science – data mining, data visualisation, data exploration, machine learning, AI and work practices. You will work on real datasets applying the latest techniques for arriving at conclusions and making predictions.
The demand for data science skills has never been higher. Increasingly software engineers, web developers and product managers are embedding analytics and data mining capabilities within their deployments.
This Bootcamp is ideal for people looking to acquire data science skills needed to stay ahead of the game – typically IT or finance professionals – risk, accountants, analysts – as well as business & data analysts, researchers, academics and software engineers seeking to learn more, upskill and gain a competitive advantage from their data.
26/09/2019 - 14/02/2020
Every Thursday & Friday evening (18:15 - 21:15)
Early Bird (before August 30th)
Claremont Avenue, Glasnevin Dublin 11
By exploring your data you will uncover hidden trends and insights. Our faculty are skilled practitioners in R - the most prolific programming language for data science applications - and they will upskill you in bespoke packages for outlier detection, duplicate removal, generating frequency tables and more. Getting to know your data doesn't require in-depth programming skills, R is straightforward and we will teach you the basics before the course starts, so you can hit the ground running and build impeccable models by the end.
Increasingly, ML is being employed by engineers in chatbots, automated vehicles, image detection, personal assistants and a plethora of finance and marketing avenues. Software engineers and data analysts are bringing machine learning and artificial intelligence solutions to bear, automating the analysis process. Our course will teach you the core statistical principles and algorithms for ML up to and including the basics of constructing convolutional neural networks (CNNs).
There is an increasing need to extract value from data investments. Data Visualisation enables you to present your new knowledge clearly and persuasively. Participants learn about new tools and techniques that deliver state-of-the-art data visualisations quickly and easily. You learn from best practice and develop a workflow that takes you from raw data to impressive visuals using the latest tools including Charticulator and Data Illustrator.
Learn how to build and deliver end-to-end data and machine learning pipelines that take dirty or distributed data, consolidate it, build relevant features, train and retrain models, and publish for use in applications. The exploratory data analysis and machine learning workflows built throughout the course will be turned into scalable solutions that can fit into a production software environment. In practice, this means you will be able to lead and manage your own Data Science projects.
You will also have the opportunity to apply your skills and knowledge, with organisations including Dolmen Design, Epic Museum and Met Eireann on the Action Project. This is where you, your team and the project partner build actionable solutions to data problems over 6 weeks, gathering insights and visualising the results to provide tangible business value.
Friedrich WetterlingFriedrich has authored and co-authored twenty international peer-reviewed journal publications, and is an advocate for non-invasive imaging technology with a main focus on Magnetic Resonance Imaging (MRI). In 2016, he joined FIRE1 - a medical device company in Dublin as senior radio-frequency engineer.
Jonathan SymmondsJonathan is Co-Founder of Sophoria Visual Effects studio. With over 18 years experience in the film and games industry he has worked on Avatar, Where the Wild Things Are, Prince of Persia and more. More recently, Jonathan led the animation departments for “The Game of Thrones” series at Pixomondo and was nominated three times for a VES Award.
Aoife D'ArcyAoife is the Managing Director of data consultancy The Analytics Store. Her expertise ranges from telling stories with data visualisations, to machine learning, to developing analytics strategy, and just about everything else in between.
Fintan BuckleyFintan is the CEO and Co-Founder of Ubotica Technologies, a Computer Vision and AI start-up based in DCU Alpha, and with a design centre in Spain. Ubotica is developing enabling technologies and solutions for decision making "on the edge", targeting Earth Observation and Industry 4.0 applications.
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