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Data Analysis

Coding-free AI data analysis using Orange - Lv.1 The first step to data mining

Same introduction much faster than others! Data analysis starting with Orange, a no-coding tool!

(4.5) 2 reviews

11 learners

  • masocampus
No-code
통계분석
시리즈
Orange3
orange
data-transformation

What you will learn!

  • How to use Orange, a no-coding artificial intelligence data analysis tool

  • Basic concepts of data analysis and the ability to utilize the most representative analysis techniques

  • Data collection and processing process from various data sources

  • Understand the pros and cons of different data analysis tools and the benefits of using Orange

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

This is the Lv.1 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

AI data analysis you can do right away, without any coding knowledge!

Same initiation much faster than others!
Data analysis starts with Orange, a no-coding tool!

Learn this!

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

  • Basic concepts of data analysis and the ability to utilize the most representative analysis techniques

  • Data collection and processing process from various data sources

  • Understand the pros and cons of various data analysis tools and the benefits of using Orange.


AI data analysis anyone can do

Developers, developers, but did you know that not all developers are the same?

Developers include front-end, back-end, engineers in various fields, and data science developers.

There are many different fields.

Naturally, there are differences in demand, difficulty of entry, and average annual salary in each field.

Among them, data science, especially machine learning/deep learning, is particularly noteworthy.

In addition to basic coding skills, it requires data science knowledge and artificial intelligence capabilities.

It ranks among the top salary levels in various developer surveys.

Of course, a high salary level doesn't generally mean that just anyone can do it.

However, the truth is that anyone can easily perform AI data analysis.

Some data science knowledge and data handling skills,

If you have the analytical techniques and the ability to use appropriate tools required for practical work,

Perform advanced AI data analysis without developers.

Does it seem like you need too much?

So, in this lecture at Maso Campus, we have prepared everything at once.

The tool used in this lecture is “Orange.”

Anyone can easily access and manipulate analytical data, and even perform artificial intelligence analysis.

Orange provides meaningful analysis that goes beyond what developers can do.

It is a free tool that can be used without any problems in various network security environments.

Are you jealous of data science developers?

Even without development skills, you can use the no-coding tool Orange

With the data analysis capabilities provided by Maso Campus,

The salary of a machine learning developer is no dream either.

In this lecture, which is the beginning of Maso Campus’ “AI Data Analysis Without Coding” course,

I hope you can fully unfold your potential that you never knew existed.

Lecture Features

This course is suitable for anyone who wants to get started with data analysis and easily acquire AI analysis skills.

Orange allows you to develop the ability to perform data analysis without complex coding.

  1. Orange is used by everyone from beginners to experts!

Orange is an ideal learning tool for beginners in data science and machine learning.
Present complex data analysis concepts in a visual and intuitive way.

  1. Provides various data analysis and visualization tools

Orange allows users to analyze data in depth in an easy way.
Helps you extract meaningful insights from complex datasets.

  1. Analysis starting from collecting the data to be analyzed

Import data from various file formats, including Excel data and web documents.
Learn how to process data into a form that is easy to analyze, enabling efficient analysis.

  1. Introduction to Practical Data Analysis

From the basic concepts of data analysis to the most representative analysis methods used in practice,
You can experience the work of a data scientist through analysis of real-world cases.

I recommend this to these people

  • For those who are new to data analysis

  • Anyone who wants to master advanced data analysis without complex coding

  • Those who want to acquire practical data analysis skills rather than simple theory.

  • For those who feel the limitations of Excel and want more advanced analysis.

After taking the AI data analysis course without coding,

Maso Campus's coding-free AI data analysis lv.1 data mining introductory course

Suitable for everyone from beginners to professionals in data analysis.

  • Data Analysis Fundamentals

  • How to set up your Orange work environment

  • Technology for acquiring and handling data from various sources

  • Adapt to data analysis practices through real-world projects

Develop your data science expertise with Orange.

Don't be afraid of coding or data analysis anymore!

Learning Content

1. Understand the basic data analysis algorithms!

2. Import data for analysis from various sources!

3. Sampling data into a form that is easy to analyze.

4. Start with basic technical statistical analysis!

5. Implement advanced data analysis techniques without coding.

Expected Questions Q&A


  1. Do you 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.

  2. 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.

  3. 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.


Introduction of knowledge sharers


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.

  • Additionally, 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 <00. Textbook Download Center> section .

Recommended for
these people

Who is this course right for?

  • For those who are new to data analysis

  • Anyone who wants to master advanced data analysis without complex coding

  • Those who want to learn practical data analysis skills rather than simple theory

  • For those who feel the limitations of Excel and want more advanced analysis

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Curriculum

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30 lectures ∙ (10hr 11min)

Course Materials:

Lecture resources
Published: 
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Reviews

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2 reviews

4.5

2 reviews

  • hoonho.choi님의 프로필 이미지
    hoonho.choi

    Reviews 5

    Average Rating 5.0

    5

    30% enrolled

    AI 데이터분석!! 많은 도움이 되고 있습니다.

    • Masocampus
      Instructor

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

  • cocomong님의 프로필 이미지
    cocomong

    Reviews 6

    Average Rating 4.7

    4

    60% enrolled

    처음 경험해보는데... 잘 보고 배우고 있습니다.

    • Masocampus
      Instructor

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

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