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How to apply design thinking to a new data science experience

Join the Refinitiv Labs team who will share their design thinking skills and demo a new data exploration tool for Data Scientists, Quants and Developers .  
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 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!
Event info
Time:  30 minutes
Location:  Link provided after registration
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.


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Refinitiv Labs is shaping the future of data
We collaborate with our customers, partners and colleagues to identify and pursue new business opportunities.At Refinitiv Labs, cross-functional sprint teams rapidly prototype and validate AI-enabled solutions using emerging technologies, data science, lean techniques and trusted Refinitiv data. Our data science teams have deep understanding of the issues affecting financial markets and problem-solve from the world’s financial and technology hubs – in New York, Singapore, and London.

Interested in the rest of our virtual Refinitiv Learn-It-All Labs series?