Data Science Foundations: Data Mining in R
With Barton Poulson
Liked by 475 users
Duration: 3h 51m
Skill level: Intermediate
Released: 2/12/2021
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
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Foluso A., MBA, MSc
Foluso A., MBA, MSc
DevOps Engineer | Security & Governance (GRC) | AWS, GCP | Cloud Computing | Advanced Data Analytics
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
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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