Register now for our Refinitiv Learn-It-All-Labs series – created to equip the financial services data science community with the latest skills and Machine Learning use-cases in bite size 30 minute sessions.
In this session, we’ll share our design thinking skills and explain how we applied them to a data exploration tool - a real-life solution for those of us who want data science with fewer hurdles!
Key takeaways will include:
- What we mean by design thinking
- How you can apply a design thinking to a data science project – from hypothesis to testing
- The difference between traditional thinking vs. design thinking
- A design mindset – how Refinitiv Labs hone in on industry problems to solve for
Finally we will demo a new data exploration tool - a real-life example of how Refinitiv Labs applied design thinking to build a new data science experience. The data exploration tool gives Quants, Developers and Data Scientists access to high-quality sample datasets, notebooks and documentation so they can validate their hypotheses at speed.
Register now to get in on the action!
Date: Thursday 21 May 2020
Time: 8AM BST / 3PM SGT / 5PM AEST
Location: Complete the form on the right to access the recording
What's the data exploration tool?
Built for Data Scientists to experiment with Refinitiv's most popular data sets, the data exploration tool is a proof of concept which provides Refinitiv customers with free access to sample data sets, example notebooks and documentation.
Gain access to sample data, metadata and Jupyter notebooks for data sets including Tick History, Historical Pricing, Reuters News Archive, Aggregated News & Social Media Sentiment, ESG and our Knowledge Graph. It also provides access to our Intelligent Tagging Natural Language Processing and Symbology services.