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.
Exploratory Data Analysis With Python and Pandas
Exploratory Data Analysis With Python and Pandas
Instructor: Bassim Eledath
Sponsored by PTT Global Chemical
17,085 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.5
(421 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Apply practical Exploratory Data Analysis (EDA) techniques on any tabular dataset using Python packages such as Pandas and Numpy.
Produce data visualizations using Seaborn and Matplotlib
Details to know
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Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Initial Data Exploration (7 min)
Univariate Analysis (8 min)
Bivariate Analysis (8 min)
Dealing With Duplicate Rows and Missing Values (8 min)
Correlation Analysis (4 min)
Recommended experience
Experience with Python is recommended but not required. Familiarity with intro-level statistics is required
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Instructor
Instructor ratings
4.5 (22 ratings)Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Learner reviews
4.5
421 reviews
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Showing 3 of 421
LN
5
Reviewed on Feb 24, 2022
An excellent course! Highly recommended for anyone who wants to learn the fundamentals of EDA using Python.
SA
5
Reviewed on Dec 3, 2020
Straight forward, easy to follow along and understand.
LJ
5
Reviewed on Nov 19, 2020
This course is really interesting and well balanced. Kudos to the instructor. I recommend anyone to take it!!!!
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