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Data Science

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Data Analysis

Coding-free AI data analysis using Orange - Lv.6 Text and image analysis

From the basics to applications of unstructured data analysis Easily and quickly with the AI analysis tool Orange!

8 learners are taking this course

  • masocampus
no-code
시리즈
이론 실습 모두
AI
Orange3
Text Mining
No-code

What you will learn!

  • Key differences between structured and unstructured data and their various forms and structures

  • Learn the principles of basic text preprocessing.

  • Text mining techniques such as corpus, tokenization, and part-of-speech tagging

  • Applying text clustering and TF-IDF techniques to predict and classify real business data

  • From basic concepts of image data extraction to practice of vision models, image classification, and clustering techniques

From the basics to applications of unstructured data analysis, quickly and easily with the AI analysis tool Orange!


Orange Data Analytics Course: Leading to Results

Data analysis? No longer the domain of experts.
Learn the concepts, examples, and related techniques of unstructured data in an easy-to-understand way.

Anyone can draw meaningful conclusions from unstructured data through Orange without complex coding skills.
– From the basic process of text & image analysis to the results at a glance
- An intuitive explanation of how to handle and analyze text and image data in practice.

Business analytics using unstructured data is no longer a distant future.
With this course, take your first steps toward leveraging unstructured data to solve real-world problems!



Course Experience Group Reviews
Corporate lecture specialist, lectures created with know-how


Orange, which can do everything from 1 to 10

I am a working person who is studying data analysis because I think it would be very helpful to know, even though my job does not directly involve data analysis.

This was my first time working with unstructured data, having only dealt with structured data, and I found that text and images could be analyzed more accurately than I expected.
Above all, the instructor always gave appropriate examples and analogies when explaining concepts, which made it very easy to understand!

-Review from the experience group (Kim**)


Secrets that even non-experts can apply

I took this course because I wanted to learn the basics of text analysis, and it was more useful than I expected.

I've been collecting and saving customer reviews of recently sold products, but I've been neglecting them. But now that I know how to preprocess text, I can categorize and analyze the reviews based on their characteristics .
Having used it in my actual work , I think it will be useful for future product feedback. Thank you!


-Review of the experience group (Oh***)



AI Data Analysis Without Coding - Level 6 Text and Image Analysis Curriculum Features

This is a core lecture that presents core techniques for analyzing unstructured data and practical applications using text and image data through Orange .


1. Understanding the basic concepts of unstructured data analysis and the types and structures of data.

Beginning with the differences between structured, semi-structured, and unstructured data, learn about the concept of unstructured data and the process of analyzing it.


2. Learn everything from the basics of text mining techniques to practical text preprocessing.

Learn the concept and use of corpora, tokenization, and basic statistical techniques that utilize word frequency and location information such as n-grams.


3. Real-world business prediction and classification analysis using text-based data.

Explains how to practically utilize text data and practices techniques for sentiment analysis and network analysis of text data.


4. Extracting and analyzing key features of image data

Practical training in extracting important information from image data and predicting and classifying it using vision models such as CNN (Convolutional Neural Network).


5. Strengthening business analysis capabilities using unstructured data.

Sharing how to apply text and image analysis to real-world business.



We'll feed you everything. Just prepare your mind to take the class!

1. Take a class

2. Follow the instructor's instructions and use Orange.

3. Improve performance through unstructured data analysis.

The 3 Steps to Success: Now is the Time



Learn this!

Fully utilized, including image data analysis

Learning the Basics of Text Analysis with Corpora and Word Clouds

Text Document Classification Model and Evaluation Using Embedding Vector Techniques

From text sentiment analysis to customer review analysis techniques


From text sentiment analysis to customer review analysis techniques

Understand the basics of machine learning without the burden of coding
Analysis possible using unstructured data


Gain a new perspective on unstructured data

Text/image data accumulated in the field
Insight from different perspectives and analyze them effectively

Business analysis using unstructured data is possible.

Through learning specific scenarios of the lecture
Leveraging Unstructured Data to Solve Real-World Problems


As data accumulates, not losing its value has become an essential strategy for everyone.

Now is your chance. Turn your data into your competitive edge.

Introducing the knowledge sharer


I confidently recommend this to these people.


– Those who want to strengthen their practical data analysis skills
– Those who want to improve their data analysis skills without difficult coding
– Those who want to achieve results through analysis of unstructured data such as text/images
– Those who feel the limitations of Excel and want a simpler advanced analysis tool
– Job seekers who want to highlight their uniqueness in the job market
– Office workers considering a career change to the IT field


Machine learning and data analysis—do you ever feel like they're irrelevant to you?
If you want to acquire core skills in unstructured data analysis without programming knowledge and lead data-driven decision-making in real business,
Start this course right now.



Lecture Features

STEP 1. Learn the basic concepts and analysis methods of unstructured data in an accessible way even for beginners.

Understand the unique challenges that arise when analyzing unstructured data, starting with its fundamental types, structures, and formats.


STEP 2. Practical training starting from the basics of text mining.

Learn the core techniques required for preprocessing text data and practice converting text data into a form that computers can understand.


STEP 3. Learn various techniques for text classification and prediction.

Practical training in applying cluster analysis and classification techniques to text data to solve business problems.


STEP 4. Practice image data analysis from basics to applications.

Understand the basic principles of handling image data and learn how to apply them to practical image classification and prediction.



Most data exists in unstructured form.

The ability to analyze this effectively will make a big difference.

Now is the best time to grow!
Be the first to experience enhanced productivity and results.

Expected Questions Q&A


Q. Do I need prior knowledge of artificial intelligence, coding, or design to take this course?
A. This course does not require any prior knowledge of AI, coding, or Excel. We will cover the basics so anyone can easily follow along. However, you can gain a more comprehensive understanding of the course content by taking the previous Orange Course Level 1 or Level 2.


Q. Are there any requirements or prerequisites for taking the course?
A. If you have never used Orange before, we recommend that you learn the basic usage and installation methods in advance to make the course more smooth.


Q. Orange? Do I need to purchase separate software?
A. Orange is free software that allows anyone to 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.

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.

Recommended for
these people

Who is this course right for?

  • Those who want to strengthen their practical data analysis skills

  • Anyone who wants to improve their data analysis skills without difficult coding

  • Anyone who wants to achieve results through analysis of unstructured data such as text/images

  • For those who feel the limitations of Excel and want a simpler advanced analysis tool

  • Job seekers who want to highlight their own uniqueness in the job market

  • Working professionals considering a career change to the IT field

Need to know before starting?

  • You can learn more easily by taking this course after becoming familiar with the basic usage of Orange.

  • We recommend that you take this course after completing Masocampus's "Coding-free AI Data Analysis using Orange - Lv. 1 First Step to Data Mining" or "Coding-free AI Data Analysis using Orange - Lv. 2 Data Preprocessing and Visualization" course.

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Reviews

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Answers

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Rating

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Curriculum

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14 lectures ∙ (5hr 56min)

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