Making sense of the data-filled world around us
Data science is a rapidly evolving field. It uses a scientific approach to analyze data stemming from a variety of sources — such as open, sensor or social media data — to extract descriptive, predictive and prescriptive insights. Cybera believes utilizing data to its fullest extent is a powerful way to create
Background
In June 2016, Cybera formed a data science team that draws from the company’s strong experience in scientific research, software development, and DevOps. Their goal is to encourage the learning and adoption of data science practices through:
- Collaborating on data science for social good projects
- Democratizing access to data science tools
- Advising and widely disseminating their knowledge and use of data products
Tools We’re Using
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Scuttlebutt
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A Twitter crawler for harvesting tweets related to user-specified queries
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A Twitter crawler for harvesting tweets related to user-specified queries
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Jupyter’s All-in-One Science Platform -
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Users are given instant access to Julia, R, and Python notebooks through tools such as JuliaBox and
JupyterHub - Read more…
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Users are given instant access to Julia, R, and Python notebooks through tools such as JuliaBox and
Getting Started
- Connect with Cybera's Data Science team to learn more about data science tools and processes, or exploring a data science project with us.