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Exploratory Data Analysis with Python

$100.00

Gain the critical skills to visualize and analyze data using Python language and its libraries.

  • Free pre-assessment and first 2 lessons
  • 13+ Interactive Lessons | 47+ Exercises
  • Accessible on mobile and tablet too
  • Certificate of completion
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Description

About This Course

This course is all about practicing Exploratory Data Analysis with Python. You’ll learn to visualize, transform, and analyze data using Python’s powerful tools like Pandas, Seaborn, and Matplotlip. By delving into real-world datasets, you’ll discover patterns and insights that drive decision-making. Ideal for aspiring data scientists, analysts, and anyone keen to enhance their data exploration skills.

Skills You’ll Get

  • Learn the basics of Exploratory Data Analysis (EDA) in Python
  • Use Python libraries like Pandas, Seaborn, and Matplotlib for data analysis 
  • Visualize data with various types of charts and graphs 
  • Transform and clean datasets for analysis 
  • Perform statistical analysis to uncover insights 
  • Group and aggregate data for deeper analysis 
  • Analyze correlations and understand their significance 
  • Handle missing values and perform data imputation 
  • Conduct hypothesis testing and regression analysis 
  • Create reproducible data analysis workflows 
  • Implement machine learning models for data evaluation