Data Science

Before we begin, let’s loosely define Data Science for convenience. What is Data Science? Data Science is ● an interdisciplinary concept, ● which uses any scientific methods, ● combines it with computing, ● to produce insights, ● from data. But why ‘Data Science’? Who used that term first? Where did…

The last ten years have seen almost a complete turnover in the tools available to a data professional. Looking at today’s Modern Data Stack, the majority of tools (dbt, Looker, Snowflake, Fivetran, Hightouch, Census) were not commercially available in 2012. Entire categories (ELT, Reverse ETL, cloud warehouses) and frameworks (data…

Introduction We are in the midst of a technological revolution. In the last few years, we have seen incredible advances in Artificial Intelligence (AI). This technology is now being applied to all sorts of domains, from Medicine to Manufacturing. There is no doubt that Artificial Intelligence (AI) is becoming increasingly popular and important in our lives. But can AI predict the Stock market? This is a difficult question to answer definitively because there are so…

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Adrienne Kline reflects on a multidisciplinary career that bridges medicine, machine learning, and engineering — In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science, their writing, and their sources of inspiration. Today, we’re thrilled to share our conversation with Adrienne Kline. Adrienne Kline is a postdoctoral fellow in the Department of Preventative Medicine at…