What happens when a passion for data science meets the fast-paced world of stock trading?
In this episode, we’re joined by Matt Dancho, Founder of Business Science, Quant Science, and the creator of the popular tidyquant package, who shares his journey from data scientist to launching Business Science and the projects and packages he’s built along the way.
We explore how he leverages Python and R to trade stocks, as well as the lessons he’s learned from building a business in the data.
Whether you’re a data professional, a stock market enthusiast, or an aspiring entrepreneur, this episode is packed with actionable insights to level up your skills and strategies.
What You'll Learn:
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Taking your data skills and furthering your career to make money.
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Tips for working with stock data.
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How AI is changing analytics
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