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Data Science Foundations: Data Mining in R Preview

Data Science Foundations: Data Mining in R

With Barton Poulson Liked by 520 users
Duration: 3h 51m Skill level: Intermediate Released: 2/12/2021

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Course details

Data science continues to grow in sophistication and demand at an exponential rate. 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. Instructor Barton Poulson focuses on data mining in R, presents a broad range of algorithms including machine learning methods, and offers important information on laws and policies that affect data mining. Barton gives an overview of dimensionality reduction. He introduces clustering, including hierarchical clustering, then goes into association analysis. He explains time-series mining and decomposition, then concludes with text mining, sentiment analysis, and sentiment scoring.

Skills you’ll gain

Meet the instructor

Learner reviews

4.8 out of 5

172 ratings
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  • Miriam Sua Miriam Sua

    Miriam Sua

    Warranty Data Analyst

    5/5 February 2, 2024
    Highly recommend this course for all data users.
    Helpful · Report
  • Sina Yadegari Sina Yadegari

    Sina Yadegari

    Plants Manager in pharmaceutical industry

    4/5 September 30, 2023
    Thanks for this practical course in the "Data Mining" field.
    Helpful · Report

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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