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Data Science

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Data Analysis

Understanding Data Literacy

Let's analyze and visualize data and learn machine learning concepts using Orange 3!

(5.0) 3 reviews

312 learners

  • pnuswedu
실습 중심
데이터분석실습
Data literacy
Orange3
Machine Learning(ML)
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What you will gain after the course

  • Data Literacy

  • Data Analysis

  • Machine Learning

Understanding Data Literacy

- Learning Data Literacy


Instructor - Professor Kyungmin Kim (Software Convergence Education Center, Pusan National University)


🎯 Course Overview

Collect public data and analyze and visualize the data using Orange 3. Create data for machine learning training and make predictions using supervised learning regression and classification models. Group similar data using unsupervised learning clustering of unstructured data.


🎯 Course Objectives


  1. Using Orange, an open source data mining tool, learn data analysis and machine learning concepts without coding, and improve the data literacy skills of non-majors through hands-on practice on various topics.

  2. Non-majors learn and apply data analysis and machine learning processes in conjunction with their major fields, thereby strengthening the digital capabilities required of SW convergence talents.

Recommended for
these people

Who is this course right for?

  • Anyone who wants to learn data analysis and machine learning courses

  • Anyone who wants to learn supervised learning regression and classification models

Hello
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19,222

Learners

514

Reviews

3

Answers

4.9

Rating

47

Courses

부산대학교 소프트웨어융합교육원입니다.

Curriculum

All

16 lectures ∙ (5hr 26min)

Published: 
Last updated: 

Reviews

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3 reviews

5.0

3 reviews

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        hyongsu44

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        Average Rating 5.0

        5

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        Thank you for your valuable lecture. Stay healthy always.

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