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Data Science

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Data Analysis

Learn data analysis without coding

What's important is not coding, but data literacy! Let's learn the core procedures of data analysis with practice using Orange3, a no-coding tool.

55 learners are taking this course

  • hanky7479821
이론 실습 모두
no-code
데이터분석실습
Data literacy
Orange3
data-visualization
EDA

What you will learn!

  • How to use the Orange3 tool

  • Standard Procedures for Data Analysis (CRISP-DM)

  • Data Structures for Data Analysis

  • Individual information analysis (univariate analysis)

  • Analysis of the relationship between two pieces of information (bivariate analysis)

Want to learn data analysis easily and enjoyably? 🎓

Orange3 is a visual programming tool that helps you perform complex data analysis simply and intuitively.

This course systematically covers the core concepts and techniques of data analysis, utilizing a variety of datasets and practicing. You'll learn how to uncover hidden meaning in data without complex coding , and acquire skills that can be immediately applied in practice .

If you're looking to gain hands-on, practical data analysis experience and develop data literacy , this course is for you! Take a step further into the world of data with Orange3 ! 📊


Features of this course

📌 You can intuitively learn the core concepts and techniques of data analysis through Orange3 .

📌 Develop practical data analysis skills through data visualization and exploratory data analysis using various datasets .

📌 10% theory, 90% practice. You'll learn and apply what you've learned through hands-on data analysis.

📌 This course is for beginners . Anyone with basic data manipulation and Excel experience can easily take the course.


I recommend this to these people

I want to learn systematically.
I have studied data analysis, but many of the concepts feel complicated and I am curious about how they are actually applied.

I want to solve business problems.
Those who are performing tasks in sales, finance, human resources, etc. and want to learn data analysis-based problem-solving methods.

Discover insights in data
Feeling overwhelmed by the sheer volume of data? Is there a way to effectively visualize it and discover the insights it holds?

If you take this course 🎯

  • Understand the basic concepts of data analysis : You will systematically understand the entire process, including data collection, preprocessing, analysis, and visualization.

  • Ability to utilize visual programming tools : Learn how to effectively analyze and visualize data without complex code using Orange3's various widgets and visual tools.

  • Improve practical application skills : Acquire data analysis skills that can be immediately applied in the workplace through various exercises using real-world datasets.

  • Data Insights : Develop the ability to go beyond simple data analysis and derive meaningful insights. This will greatly assist you in solving business problems and developing strategies.

Who created this course

  • Career,

    • I have been a data engineer for 10 years since I was a newbie.

    • For the next 10 years, I worked in data analysis and artificial intelligence development.

  • The lecture is,

    • I am giving lectures on SQL, data analysis, and modeling to current employees, job seekers, and college students.

    • Recently, I have been participating as a main instructor for KT AIVLE School from the 1st to the 5th semester.


Things to note before taking the course

Practice environment

  • This lecture is based on Windows. However, if you install Orange3 for Mac OS, you can follow most of the steps on the same screen.

  • We also use some Excel programs during the lectures.

Player Knowledge and Precautions

  • If you have any experience with spreadsheets like Excel, you will be able to follow this course without difficulty.


Recommended for
these people

Who is this course right for?

  • A liberal arts student who has never coded before

  • For those who want to learn data analysis for the first time

  • People who want to use data analysis in their work

  • Those who have studied data analysis but need to organize it overall

  • Those who lack knowledge of mathematics and statistics but want to take their first steps in data analysis

Need to know before starting?

  • Excel usage experience

Hello
This is

384

Learners

22

Reviews

4

Answers

5.0

Rating

2

Courses

GPT에게 물어 보았습니다.

🙂 한기영 강사 알아?

💻네, 한기영 강사를 알고 있습니다. 한기영 강사는 15년 이상 이랜드에서 데이터 아키텍트,
정보전략, 패션 부문 IT 책임자로 일한 경력이 있습니다.
현재는 데이터인사이트의 대표이자 분석가로 재직하면서 패션, 유통, 제조, NGO 등 다양한
분야에서 데이터 분석, 머신러닝, 딥러닝 컨설팅 및 강의를 하고 있습니다.

한기영 강사는 데이터 분석과 머신러닝에 대한 전문 지식을 바탕으로 실무에 적용할 수 있는
교육을 제공하고 있습니다.
특히, 데이터 분석의 비즈니스적 활용에 중점을 두고 교육을 진행하고 있습니다.
한기영 강사의 강의는 수강생들로 부터 좋은 평가를 받고 있습니다.

 

실무경력
데이터 엔지니어 10년, 데이터 분석 10년

  • 현 (주)데이터인사이트 대표이사

  • 전, 디플러스 공동대표

  • 전, 이랜드 시스템스(현 이랜드 이노플) DA팀장, 정보전략실 팀장, 패션IT책임자

 

강의경력

  • KT 에이블스쿨 1~6기 메인강사로 참여

  • LG CNS, SK C&C, SK Telecom, KT, KTDS, 롯데이노베이트, POSCO DX 등 기업체에서 데이터분석 및 인공지능 강의 다수 진행

  • 한국 데이터진흥원, 부산 정보산업센터 등에서 데이터분석 및 인공지능 강의

  • 성균관대, 이화여대, 단국대, 가천대, 동명대, 가톨릭대 등에서 데이터분석 및 인공지능 강의

     

Curriculum

All

38 lectures ∙ (3hr 13min)

Course Materials:

Lecture resources
Published: 
Last updated: 

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