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Clustering Geolocation Data Intelligently in Python
Coursera Project Network

Clustering Geolocation Data Intelligently in Python

Taught in English

Ari Anastassiou

Instructor: Ari Anastassiou

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Guided Project

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

Intermediate level

Recommended experience

75-90mins
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(401 reviews)

What you'll learn

  • Clean and preprocess geolocation data for clustering

  • Visualize geolocation data interactively using Python

  • Cluster this data ranging from simple to more advanced methods, and evaluate these clustering algorithms

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Guided Project

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

Intermediate level

Recommended experience

75-90mins
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(401 reviews)

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

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  • 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. An introduction to the problem, as well as basic exploratory data analysis and visualizations

  2. Visualizing geographical data in a more meaningful and interactive way

  3. Methods of evaluating the strength of a clustering algorithm

  4. Theory behind K-Means, and how to use it for our problem

  5. Introduction to density-based clustering approaches, and how to use DBSCAN

  6. Introduction to HDBSCAN, to alleviate constraints of classical DBSCAN

  7. A simple method to address outliers classified by density-based models.

Recommended experience

Intermediate Python users with some exposure to Pandas for data manipulation.

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Instructor

Instructor ratings
4.6 (23 ratings)
Ari Anastassiou
Coursera Project Network
10 Courses34,084 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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4.5

401 reviews

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Reviewed on May 20, 2020

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Reviewed on Jul 12, 2020

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Reviewed on May 7, 2020

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