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Explotory Data Analysis

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Identify key trends, patterns, and relationships in datasets using exploratory data analysis techniques and tools
  • Apply statistical summaries and visualizations to uncover insights and data structures effectively
  • Utilize data cleaning and preprocessing methods to prepare datasets for meaningful analysis and accurate results
  • Interpret EDA results to inform decision-making, optimize business strategies, and support data-driven solutions

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Lessons | 4


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1 Reviews

Deep Ak

Easy to understand and explation of the topic is bit more insightfull
2025-08-31

Usman Farooqi

Good
2025-01-30

KANISHHKA.S

Good
2024-05-19

Bradley Onchere Matagaro

not helpful
2024-01-04

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An EDA is a thorough examination meant to uncover the underlying structure of a data set and is important for a company because it exposes trends, patterns, and relationships that are not readily apparent.