Data Science Foundations: Data Mining in Python
With Barton Poulson
Liked by 2,051 users
Duration: 3h 3m
Skill level: Intermediate
Released: 3/26/2021
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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Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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GAUTAM BOSE
GAUTAM BOSE
Data Science Specialist, ACCOLADE HOME LOANS LLC
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Donna Hardy
Donna Hardy
Data Science
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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