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Data Science Foundations: Data Mining in Python Preview

Data Science Foundations: Data Mining in Python

With Barton Poulson Liked by 2,104 users
Duration: 3h 3m Skill level: Intermediate Released: 3/26/2021

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Course details

Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling seasonal and random effects, and new methods for predicting important outcomes. In this course, instructor Barton Poulson introduces you to data mining that uses the programming language Python. Barton goes over some preliminaries, such as the tools you may use for data mining. He discusses aspects of dimensionality reduction, then explains clustering, including hierarchical clustering, k-Means, DBSCAN, and more. Barton covers classification, including kNN and decision trees. He goes into association analysis and introduces you to Apriori, Eclat, and FP-Growth. Barton steps you through a time-series decomposition, then concludes with sentiment scoring and other text mining tools.

Skills you’ll gain

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Meet the instructor

Learner reviews

4.7 out of 5

352 ratings
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  • BABALOLA OLUYEYE BABALOLA OLUYEYE

    BABALOLA OLUYEYE

    🚀 Data Scientist | 10+ Years in Data Analytics & Telecom | Fraud Detection & Customer Churn Specialist | RF Quality Optimization Expert | Machine…

    5/5 March 5, 2025
    Amazing
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  • Chheang Nguon Heak Chheang Nguon Heak

    Chheang Nguon Heak

    Student at Institute of Technology of Cambodia

    4/5 February 2, 2025
    Personally, Everything seems find for me with both practical and explanation.
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  • Jorge Muzo Jorge Muzo

    Jorge Muzo

    Analista en inteligencia de negocios en Banco Internacional Ecuador

    4/5 January 21, 2025
    Los ejemplos deben ser más claros
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Contents

What’s included

  • Practice while you learn 1 exercise file
  • Test your knowledge 7 quizzes
  • Learn on the go Access on tablet and phone

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