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COVID19 Data Analysis Using Python

Ahmad Varasteh

Instructor: Ahmad Varasteh

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

(1,959 reviews)

Intermediate level

Recommended experience

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

(1,959 reviews)

Intermediate level

Recommended experience

100 Minutes
Learn at your own pace
Hands-on learning

What you'll learn

  • Learn the steps, needed to be taken to prepare your data sources for an analysis

  • Learn how to look at your data to find a good measure to stablish your analysis based upon

  • Learn to visualize the result of your analysis

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:

  1. Importing COVID19 dataset and preparing it for the analysis by dropping columns and aggregating rows.

  2. Deciding on and calculating a good measure for our analysis.

  3. Merging two datasets and finding correlations among our data.

  4. Visualizing our analysis results using Seaborn.

Recommended experience

Learners should have familiarity with python programming language and having a little experience working with Jupyter notebook.

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Instructor

Instructor ratings
4.6 (182 ratings)
Ahmad Varasteh
Coursera Project Network
24 Courses61,373 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

4.5

1,959 reviews

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