Twelve Myths about Data Science | LinkedIn
English | Size: 245.00 MB
Genre: eLearning[/center]
As data science continues to shape industries and societies, myths and misconceptions often abound, leading to misguided expectations and ineffective strategies. In this course, instructor Ben Sullins delves deep into twelve prevalent myths that have persisted over time, shedding light on the truths behind them and equipping you with the knowledge to navigate the data landscape more effectively.
Note: This course was created by Ben Sullins of Free the Data Academy. We are pleased to host this content in our library.
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