Exploratory Data Analysis With Python and Pandas

Coursera MOOC / Non-credit USD 9.99
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Exploratory Data Analysis With Python and Pandas

About this course

In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What you'll learn

  • perform univariate analysis
  • perform bivariate analysis
  • conduct correlation analysis
  • handle duplicate data
  • manage missing data

Skills you'll gain

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