Scaling Data Science at your Organization

August 20th, August 27th, & September 3rd at 11AM EDT

Key Takeaways:
  • An inclusive, and scalable data strategy requires a holistic approach that includes Infrastructure, People, Tools, Organization, and Processes.
  • Scaling and democratizing data science relies on an array of infrastructure and tools with best-practices in implementation.
  • Scaling data science as part of digital transformation requires mapping different data roles to different skills, and creating a customized learning path for each role.

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The intersection of emerging technologies like cloud computing, big data, artificial intelligence, and the Internet of Things (IoT) has made digital transformation a central feature of most organizations’ short-term and long-term strategies. However, data is at the heart of digital transformation, enabling the capacity to accelerate it and reap its rewards ahead of the competition. Thus, having a scalable and inclusive data strategy is foundational to successful digital transformation programs.

In this series of webinars, DataCamp’s Vice President of Product Research Ramnath Vaidyanathan will go over our IPTOP framework (Infrastructure, People, Tools, Organization and Processes) for building data strategies and systematically scaling data science within an organization.

The first part of this three-part webinar series will provide an overview of the IPTOP framework, and how each element in the framework fits together to enable scalable data strategies. The second and third sessions will provide a deeper look at each element of the IPTOP framework, going into best practices and best-in-class industry examples on how to scale infrastructure, the tradeoffs with adopting different organizational structures, key data roles for the 21st century, and more.


Ramnath VaidyanathanVP of Product Research

Ramnath Vaidyanathan is the VP of Product Research at DataCamp, where he drives product innovation and data-driven development. He has 10+ years experience doing statistical modeling, machine learning, optimization, retail analytics, and interactive visualizations.

Adel NehmeData Science Evangelist

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society.