In this session of the Super Data Science Podcast, I chat with Expert Financial Modeler Xinran Liu. You will learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/6

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 006 : Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 006 : Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

Super Data Science: ML & AI Podcast with Jon Krohn