From the basics to applications of unstructured data analysis Easily and quickly with the AI analysis tool Orange!
9 learners
Level Basic
Course period Unlimited
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!
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!
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**)
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***)
This is a core lecture that presents core techniques for analyzing unstructured data and practical applications using text and image data through Orange .
Beginning with the differences between structured, semi-structured, and unstructured data, learn about the concept of unstructured data and the process of analyzing it.
Learn the concept and use of corpora, tokenization, and basic statistical techniques that utilize word frequency and location information such as n-grams.
Explains how to practically utilize text data and practices techniques for sentiment analysis and network analysis of text data.
Practical training in extracting important information from image data and predicting and classifying it using vision models such as CNN (Convolutional Neural Network).
Sharing how to apply text and image analysis to real-world business.
1. Take a class
2. Follow the instructor's instructions and use Orange.
3. Improve performance through unstructured data analysis.
– 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.
Understand the unique challenges that arise when analyzing unstructured data, starting with its fundamental types, structures, and formats.
Learn the core techniques required for preprocessing text data and practice converting text data into a form that computers can understand.
Practical training in applying cluster analysis and classification techniques to text data to solve business problems.
Understand the basic principles of handling image data and learn how to apply them to practical image classification and prediction.
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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14 lectures ∙ (5hr 56min)
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1 reviews
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Average Rating 5.0
5
It seems like you teach in an easy and clear way~
I'm so happy that the lecture seems to have been delivered well! Thank you. 😊
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