Data Analytics

Marketers learn from reading technical books | by Keith Whitson | Jun, 2024


Every marketer should read Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter by Wes McKinney. Even if you do not program, it provides a comprehensive overview of the technical aspects of data analysis, including how to handle, process, clean, and crunch datasets. But before we dive into more detailed aspects of data engineering for marketing, let’s begin by understanding why data is…



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