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Data Analysis & Exploratory Data Analysis Using Python

Parametric & Non Parametric Hypothesis Tests | Build EDA App with Streamlit | EDA Libraries | Data Visualization

  1. Topics
  2. Development
  3. Python for Data Science

Data Analysis & Exploratory Data Analysis Using Python

InstructorSeaportAi .
Duration4h 54m
Students19.1K
Rating4.5 (509)
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Price
$14.99
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These 3 complementary views highlight concrete, legible examples from the course presentation.

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This course outline slide details the curriculum structure, highlighting a comprehensive list of Exploratory Data Analysis topics including outlier treatment and web app development.

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This presentation slide outlines the professional background of AM Govind Kumar, detailing his education, executive roles at SeaportAI and ZebPay, and key achievements in technology.

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This course roadmap outlines the curriculum structure with three main modules: Concepts, Data Analysis and Visualization Techniques, and Exploratory Data Analysis (EDA).

Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.

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