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FIFA20 Data Exploration using Python
Coursera Project Network

FIFA20 Data Exploration using Python

Taught in English

Ahmad Varasteh

Instructor: Ahmad Varasteh

2,285 already enrolled

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Guided Project

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

Beginner level

Recommended experience

100 Minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.6

(52 reviews)

What you'll learn

  • Learn the steps needed to be taken in order to prepare you dataset for data exploration

  • Learn to use data exploration and visualization to uncover initial pattern in your data

  • Learn to use plotly module

Details to know

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Guided Project

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

Beginner level

Recommended experience

100 Minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.6

(52 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. importing FIFA20 players dataset and take a look at the columns

  2. prepare our dataset for Data exploration by dropping useless columns and calculating new features

  3. Plotting a scatter plot to see the relationship between the Overall ratings and age of the players and their price

  4. Plotting a pie chart to see the proportion of right-foot players and left-foot players

  5. Creating a method to plot a Scatterpolar for comparing a Players growth over Time

  6. Creating a method to pick top 5 player based on a the player position and the player value in euro

Recommended experience

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

5 project images

Instructor

Ahmad Varasteh
Coursera Project Network
37 Courses61,773 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 52

4.6

52 reviews

  • 5 stars

    73.07%

  • 4 stars

    23.07%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    3.84%

BY
5

Reviewed on Sep 23, 2020

MM
4

Reviewed on Sep 16, 2020

MK
4

Reviewed on Sep 23, 2020

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