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How much statistics is enough to do data science?
The article demystifies statistics for aspiring data scientists by connecting statistical concepts to everyday decision-making processes and introduces three key concepts: descriptive statistics, prob
ability, and distributions. It emphasizes the practical application of these concepts using KNIME Analytics Platform as a low-code solution for data analysis.

Reasons to Read -- Learn:

  • how common daily activities like choosing a checkout line or reading product reviews already involve statistical thinking, making the transition to data science less intimidating
  • practical applications of three fundamental statistical concepts (descriptive statistics, probability, and distributions) through real-world examples like customer purchase analysis
  • how to start doing data analysis without complex coding by using KNIME Analytics Platform, a low-code tool that lets you focus on applying statistical methods
  • 7 min readauthor: Swetha Kannan
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