Data ScienceLesson 2Free preview
DS Introduction
This lesson is part of Data Science · All levels
Summary
The introduction of data science explains the difference between raw data and information that has been processed into meaning. Data science is present in everyday life through recommendation systems, weather prediction, to fraud detection. The first step before analysis is to understand the content and structure of the dataset through exploratory data analysis (EDA).
Key points
- Data is raw data; information is data that has been processed into meaning.
- A dataset is an organized collection of data in the form of rows and columns.
- Real applications: recommendations for the film, predictions of prices, detection of fraud.
- EDA is the first step to understanding the distribution and quality of data.
- Good insight should be actionable, not just numbers.
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