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Exploratory Data Analysis With Python and Pandas
Coursera Project Network

Exploratory Data Analysis With Python and Pandas

Taught in English

Bassim Eledath

Instructor: Bassim Eledath

15,333 already enrolled

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Guided Project

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

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(411 reviews)

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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Guided Project

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

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(411 reviews)

See how employees at top companies are mastering in-demand skills

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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
  • Build confidence using the latest tools and technologies
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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: Read in data, take a glimpse at a few rows, calculate some summary statistics.

  2. Univariate Analysis: Analyze continuous and categorical variables, one variable at a time.

  3. Bivariate Analysis: Looking at the relationship between two variables at a time.

  4. Identify and Handling Duplicate and Missing Data: Find and remove duplicate rows, and replace missing values with their mean and mode.

  5. Correlation Analysis: Looking at the correlation of numerical variables in the dataset and interpreting the numbers.

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)
Bassim Eledath
Coursera Project Network
1 Course15,333 learners

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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

Showing 3 of 411

4.5

411 reviews

  • 5 stars

    70.55%

  • 4 stars

    18.97%

  • 3 stars

    6.32%

  • 2 stars

    1.70%

  • 1 star

    2.43%

SA
5

Reviewed on Dec 3, 2020

LN
5

Reviewed on Feb 24, 2022

LJ
5

Reviewed on Nov 19, 2020

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