Hands-on Workshop: Data Exploration and Analytics
Devices, systems and processes are the source of a vast amount of data. But how do you get it out? How do you clean up datasets? How do you interpret the data and how do you then convert it into valuable information that you can actually do something with? In the 2-hour Data Analytics Workshop, we will show you how to go from data to knowledge and application, and you will also get started with analyzing data yourself.
For What and Whom?
The workshop is intended for anyone with some basic knowledge and affinity with data.
The workshop is also interesting for more advanced data analysts because of the unique use case and the innovative tooling and methodologies that we apply.
We take you through a number of practical case studies in various domains, where the analysis of data has led to improvements in processes and systems. You will then spend most of the workshop hands-on to analyze a number of datasets using various tools.
The datasets in this workshop come from the XCaliber flow loop at the Flow Center of Excellence in the Duurzaamheidsfabriek. The XCaliber is a water loop built to the model of EuroLoop, the world’s largest and most sophisticated calibration facility for high-pressure oil and gas flow meters.
We will look for process improvement by using the data to detect clogging in the pipes. Participants will also learn how to go from data analysis into continuous monitoring of the system. These skills are widely applicable, also in other sectors.
In this 2 hour workshop, we will do a hands-on exploration and analysis of the data from a steam turbine that produces energy for households and industry. We show you how to get from raw data to valuable insights with the help of commonly used data analytics tools, which include Python and Jupyter notebooks. You will also get to work with the data exploration and analysis on your own. During the hands-on part of the workshop, we will make use of python to write our scripts. We do this by building upon preconfigured Jupyter notebooks. Prior experience with Jupyter or understand scripting and notebooks will definitely help you in the workshop. Not having prior experience should not prevent you from participating in the workshop. All notebooks are set up to be beginner-friendly too. However, be aware that the workshop has a practical and technical focus
14:00 – 14:10 – Introduction by Timon Jongkind
14:10 – 14:30 – Masterclass on Data Analytics by Bram Bloks
14:30 – 15:30 – Get started hands-on with use-case
15.30 – 15.45 – Wrap-up
15:45 – 16:00 – Q&A
Bram Bloks - Solutions Engineer Operational Intelligence at UReason
Bram Bloks is Solutions Engineer for Operational Intelligence at UReason. He helps enterprises set up full-scale data-driven applications, including services that integrate machine learning and smart algorithms to optimize their business and technical processes plus workflows. Companies he has helped include Witteveen+Bos, Sweco, Aviko, Zenith Energy, Vanderlande and the Dutch National Police.
UReason is a software company with its headquarters in Rotterdam, Netherlands. UReason is part of the Technohub program as an expert in (big) data and analytics. Its in-house developed Asset Performance Management software – APM Studio – runs on thousands of industrial assets worldwide to monitor, manage and optimize system reliability and output.