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Data Science

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Data Analysis

Data mining

Let's develop the capacity to extract valuable information from big data and support decision-making!

(4.9) 8 reviews

328 learners

  • pnuswedu
교수님 강의
Algorithm
EDA
Machine Learning(ML)
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What you will learn!

  • Data Mining

  • EDA

  • Machine Learning

data mining

- Data Mining


Instructor : Professor Kim Kyung-min (Software Convergence Education Center, Pusan National University)


🎯 Course Objectives


To develop the ability to extract useful information from large amounts of data and support decision-making, you will learn techniques such as data collection, preprocessing, pattern discovery using various algorithms, predictive modeling, and clustering, and apply them to real-world problems.


🎯 Course Overview


  1. Collect data and compile summary statistics and group aggregates.

  2. Data preprocessing, data transformation and standardization.

  3. Let's create learning data using machine learning.

  4. Learn regression and classification.

  • The data mining course source and lecture PDFs are uploaded to the course materials section [ 1-1. Data Mining Overview ] . Please download and attend the lecture.

Recommended for
these people

Who is this course right for?

  • Those wishing to learn data collection, preprocessing.

  • Individuals seeking skills in pattern discovery, predictive modeling, and clustering with diverse algorithms.

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17,712

Learners

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Answers

4.9

Rating

47

Courses

부산대학교 소프트웨어융합교육원입니다.

Curriculum

All

21 lectures ∙ (7hr 52min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

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8 reviews

4.9

8 reviews

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