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Exploratory Data Analysis With Python and Pandas
Coursera Project Network

Exploratory Data Analysis With Python and Pandas

Bassim Eledath

Instructor: Bassim Eledath

16,864 already enrolled

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
4.5

(420 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.5

(420 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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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
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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:

  1. Initial Data Exploration (7 min)

  2. Univariate Analysis (8 min)

  3. Bivariate Analysis (8 min)

  4. Dealing With Duplicate Rows and Missing Values (8 min)

  5. Correlation Analysis (4 min)

Recommended experience

Experience with Python is recommended but not required. Familiarity with intro-level statistics is required

5 project images

Instructor

Instructor ratings
4.5 (22 ratings)
Bassim Eledath
Coursera Project Network
1 Course16,864 learners

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

420 reviews

  • 5 stars

    70%

  • 4 stars

    19.28%

  • 3 stars

    6.42%

  • 2 stars

    1.66%

  • 1 star

    2.61%

Showing 3 of 420

LN
5

Reviewed on Feb 24, 2022

SA
5

Reviewed on Dec 3, 2020

LK
4

Reviewed on Dec 3, 2020

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