Pluralsight – Exploratory Data Analysis Techniques in Python 2023-7

Pluralsight – Exploratory Data Analysis Techniques in Python 2023-7 Downloadly IRSpace

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Apr 17, 2025 - 19:24 Updated: Apr 21, 2025 - 09:28
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Pluralsight – Exploratory Data Analysis Techniques in Python 2023-7
Pluralsight – Exploratory Data Analysis Techniques in Python 2023-7

Exploratory Data Analysis Techniques in Python course. In this course you will learn how to explore and visualize large data sets using Python libraries such as NumPy, Pandas and Matplotlib to perform data analysis. Exploratory Data Analysis (EDA) is an important step in any data analysis project. In this course, Data Analysis Techniques in Python, you will gain the ability to perform EDA on large data sets using Python. First, you will be introduced to quantitative, summary, and clustering techniques to identify patterns, clusters, and relationships within your data. Next, you will explore the distribution of data, including quantitative, summary, and descriptive techniques that will help you understand the distribution of data and its key characteristics. Finally, you will learn how to use sampling and correlation techniques to explore relationships between different variables in your data.

What you will learn in the Exploratory Data Analysis Techniques in Python course

  •   Checking the types of analysis in EDA
  • How to choose a suitable chart?
  • Clustering techniques for EDA
  • Understanding data distribution types for EDA
  • Exploring quantitative, descriptive, and descriptive techniques for EDA
  • Sampling and correlation techniques for EDA
  •  Understand the basics of exploratory data analysis (EDA).
  • And …

Exploratory Data Analysis Techniques in Python course specifications

  • Publisher: Pluralsight
  • Instructor: Pluralsight
  • Training level: beginner
  • Training duration: 2 hours and 9 minutes

Course headings

Exploratory Data Analysis Techniques in Python

Images of the Exploratory Data Analysis Techniques in Python course

Exploratory Data Analysis Techniques in Python

Sample video of the course

Installation guide

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English subtitle

Quality: 720p

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Download file – 259 MB

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259 MB

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