Exploratory Data Analysis With Python and Pandas
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.
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- Level Beginner
- Duration 3 hours
- Course by Coursera Project Network
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About
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.Modules
Practical Application via Rhyme
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Assignment
- Graded Quiz: Test your Project Understanding
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Labs
- EDA With Python and Pandas
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Readings
- Project-based Course Overview
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Explore the fundamentals of Exploratory Data Analysis (EDA) with Python and Pandas in this engaging 2-hour course. Ideal for beginners in IT & Computer Science, you'll master univariate and bivariate analysis, correlation analysis, and data cleaning using Pandas, Numpy, Matplotlib, and Seaborn. Offered by Coursera and available for free, this project-based course is perfect for North American learners seeking hands-on experience.
Bassim Eledath