How Python transforms data analysis

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How Python transforms data analysis

About the speaker
  • Pierre DeBois
    Pierre DeBois
    Founder / CEO at Zimana
    "Pierre DeBois is the founder and CEO of Zimana, an analytics services firm that helps organizations achieve profitability improvements in marketing, Web development, and business operations. Zimana has provided services for clients in many industry verticals. Pierre has also provided digital marketing and analytic workshops. His first major workshop was for the City of Chicago Treasurer's Office as part of the 2014 Small Business Expo (SBE). Since then, he has conducted workshops and presentations across the United States. His workshops have covered the gamut of business, data science, and digital marketing topics, focusing on JavaScript frameworks, Google Analytics, digital marketing, strategy, and data models (R Programming/Python). Pierre is also an analytics and business intelligence writer. He has contributed articles to CMS Wire, DMNews, and Information Week. He is also an associate editor of business book reviews for Small Business Trends, as well as credit as a technical editor for two Pearson/Que digital marketing publications. Pierre's articles were among CMSWire's Top Digital Marketing Articles for 2018, 2020, 2021, and 2022. Pierre is a Prairie View A & M University graduate (mechanical engineering) and a Georgia Tech graduate (MBA). He is a native of Gary, Indiana, serving small businesses and organizations throughout the United States."

Key takeaways

Python helps businesses clear up data quickly and effectively.

Python is generally thought to be better than JavaScript for data analysis.

Many AI large language models are built with Python language in mind.