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Data Analysis

No-Code AI Data Analysis Using Orange - Lv.0 Introduction to Artificial Intelligence-Based Data Analysis

Easy, powerful, always-on data analysis! Orange 3: Simple, no coding!

(5.0) 4 reviews

26 learners

  • masocampus
3시간 만에 완강할 수 있는 강의 ⏰
Orange3
Data literacy
No-code
Machine Learning(ML)
Statistics

What you will learn!

  • No-Code AI Data Analysis Tool: How to Use Orange3

  • Basic Concepts of Machine Learning Data Analysis

  • Data analysis techniques for gaining insights using real data

  • Various data analysis tools: Pros and Cons, and Why Orange3?

This lecture is part of Maso Campus's 'Coding-Free AI Data Analysis Using Orange' series.

This is the Lv.0 course of the single-course sales version .

If you would like an all-in-one Orange data analysis course that integrates from Lv.0 to Lv.4, please refer to the lecture below .

Advanced Data Analysis for Beginners: Orange Step-by-Step Master Pack https://inf.run/qmPWu

Orange, a machine learning tool anyone can use!



Easy and powerful data analysis anytime, anywhere!
Easy with Orange, even if you don't know how to code!

Learn this!

  • How to Use Orange, a No-Coding AI Data Analysis Tool

  • Basic Concepts of Machine Learning Data Analysis

  • Data analysis techniques that use real data to gain insights

  • The Pros and Cons of Various Data Analysis Tools and Why You Should Use Orange

The Myth of No-Coding Analysis Tools: Orange

2023 was truly the year of Chat GPT. It was a revolution in artificial intelligence technology that brought the dreams of future technologies imagined by people around the world to a little bit of reality.

2016 was the year of AlphaGo. Machine learning, previously largely overlooked by those outside the industry, gained global recognition, and it signaled the arrival of the Fourth Industrial Revolution.

Long before that, in 1996, a program called Orange was released from a research lab at the University of Ljubljana in Slovenia. Built on the familiar Python language, Orange focused on data mining and visualization .

As an open-source project, Orange has grown with the help of developers around the world and has evolved to perform essential data analysis techniques such as machine learning, text mining, and network analysis. While Python-based, Orange requires no coding knowledge to use, and may not be as well-known as other tools, its performance rivals that of any other tool, making it a remarkable tool that enables anyone to perform advanced data analysis and artificial intelligence .

The world will change even faster than it does now. While staying the same means you'll inevitably fall behind, there are clear ways to grow faster than others. Orange, which enables data analysis, a vital skill for professionals, without coding, and even visualization, machine learning, and data modeling, will be the weapon you need to stay ahead and not fall behind.

Learn the essentials of practical application

In this course, anyone can use Orange to acquire advanced data analysis capabilities.
Data analysis enables you to uncover unique insights.

  1. Excellence as a teaching and learning tool


    Orange is an ideal learning tool for beginners in data science and machine learning.
    Orange presents complex data analysis concepts in a visual and intuitive way.
    It allows users to learn through both theory and practice.

  2. Various data analysis and visualization tools


    Orange includes data exploration, machine learning, text mining, network analysis, etc.
    Provides extensive data analysis capabilities.
    These various tools allow users to deeply analyze their data and
    Extract meaningful insights from complex datasets.

  3. User-friendly graphical interface (GUI)


    Orange offers a drag-and-drop interface.
    Users can easily perform data analysis.
    This is very useful for users who are not familiar with writing code.
    You can visually configure and modify data pipelines.
    You can intuitively understand and manage the data analysis process.

  4. Extend with plugins


    Orange supports a variety of add-ons and plugins.
    This allows users to tailor their analysis to their specific needs.
    You can extend the functionality of the tool.
    Users can develop their own plugins or use plugins developed by the community.
    Orange's features are constantly growing and diversifying.

After taking the AI Data Analysis Lv.0 Introduction to AI-based Data Analysis without Coding course,

After taking Maso Campus's <Coding-Free AI Data Analysis LV.0 Introduction to Artificial Intelligence-Based Data Analysis> course,
You will gain the following capabilities:

  • How to Use Orange, a No-Coding AI Data Analysis Tool

  • Basic Concepts of Machine Learning Data Analysis

  • Data analysis techniques that use real data to gain insights

  • The Pros and Cons of Various Data Analysis Tools and Why You Should Use Orange

The power of Python and R, and the convenience of Excel, all in one!

Analyzing data is easier than peeling an orange!

Learning Content

1. Regression analysis made so easy!

2. Customer satisfaction analysis in one go!

3. Create a spam message filter using machine learning!

4. Data Science A to Z Using AI

Expected Questions Q&A

Q. Do I need prior knowledge of artificial intelligence, coding, or design?
A. This course is designed to provide anyone interested in artificial intelligence with the skills they need to apply it in practice. It doesn't require any AI, coding, or even Excel skills.

Q. Are there any requirements or prerequisites for taking the course?
A. Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture and practice screens.

Q. Orange? Do I need to purchase separate software?
A. Orange is distributed free of charge, and it provides step-by-step instructions, from download to installation, so anyone can easily build an AI data analysis environment. The portable version allows use without an external internet connection, making it ideal for use in high-security work environments.

Introducing the knowledge sharer



Please check before taking the class! 📢

  • Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture screen and the practice screen.

  • Since the training is conducted based on Windows OS, we recommend taking the course in a Windows environment .

  • Lecture notes and practice files are available in the Curriculum <00. Textbook Download Center> section .

Recommended for
these people

Who is this course right for?

  • Interested in data analysis and AI

  • Anyone who wants to use AI as a productive tool without complex coding

  • For those seeking unparalleled work efficiency via AI mastery.

  • Job seeker aiming to differentiate themselves in the job market.

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"어제보다 성장하겠습니다. 그리고, 어제보다 성장하려는 사람을 돕겠습니다."

 

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마소캠퍼스의 Actionable and Time-Saving Curriculum으로 성장의 길을 함께 걸어나가길 기원합니다.

Curriculum

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16 lectures ∙ (2hr 57min)

Course Materials:

Lecture resources
Published: 
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Reviews

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4 reviews

5.0

4 reviews

  • Eun-Jeong Kim님의 프로필 이미지
    Eun-Jeong Kim

    Reviews 1

    Average Rating 5.0

    5

    31% enrolled

    • Masocampus
      Instructor

      수강평 남겨주셔서 감사합니다😊 항상 최선을 다하는 마소캠퍼스가 되겠습니다!

  • jogman님의 프로필 이미지
    jogman

    Reviews 5

    Average Rating 5.0

    5

    100% enrolled

    • Masocampus
      Instructor

      수강평 남겨주셔서 감사합니다😊 열심히 준비한 보람이 있네요. 항상 최선을 다하는 마소캠퍼스가 되겠습니다!

  • hoonho.choi님의 프로필 이미지
    hoonho.choi

    Reviews 5

    Average Rating 5.0

    5

    100% enrolled

    알찬 강의 감사합니다. 다음꺼도 빨리 듣고 싶네요.

    • Masocampus
      Instructor

      수강평 남겨주셔서 감사합니다😊 항상 최선을 다하는 마소캠퍼스가 되겠습니다!

  • p76060306님의 프로필 이미지
    p76060306

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    오렌지를 이용하는데 큰 도움이 되었습니다. 간단한 것 부터 하나씩 적용 보려고 합니다.

    • Masocampus
      Instructor

      수강평 남겨주셔서 감사합니다😊 열심히 준비한 보람이 있네요. 항상 최선을 다하는 마소캠퍼스가 되겠습니다!

$46.20

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