Unsupervised learning is the key to data analysis! Easy and fast with the AI analysis tool Orange

Orange data analysis course containing only the core elements that can be directly applied in practice

Don't get caught up in the idea that data analysis is difficult.

Easy to understand techniques related to the essential concepts of unsupervised learning!

— Organize how to easily use various data with Orange without coding

— Solid theory and practice of clustering & dimension reduction techniques

— Anyone can understand the visualization-based data analysis process

What if I don't know how to look at the data now or how to handle it?!

With this course, take the first step towards making data-driven decisions a reality.

Course trial group reviews
Professional corporate lectures, courses created by know-how

Easy to use even for data analysis beginners

I'm a student who wants to learn about data analysis little by little whenever I have time!

He didn't know how to code, and he was far from analyzing data.

I also learned about a tool called Orange I think I've realized how to handle data.

I'm using it for the first time... I'll do a good job

Trial Group Review (co******)

Seeing Orange's new possibilities

I'm from Compong, but coding had already disappeared from my head, so I was hesitant to study data analysis. It was nice that they explained difficult concepts in an easy-to-understand manner, and above all, that there were plenty of practical materials.

I thought Orange could only analyze simple data A tool that can analyze and visualize complex and quite large amounts of dataI was able to find out if it was.

Trial Group Review (Benefit**)

Effective lectures applicable to practice

As the number of situations where companies needed data analysis became more common, I started listening to this course.

First, It was amazing to be able to implement complex and difficult features like DBSCAN with Orange!

I was worried that it would be difficult to understand because it was an IT course, but the course was so well-structured that those concerns were overshadowed I think I can make effective use of it when carrying out future projectsI also heard that thought.

Trial Group Review (**)

AI data analysis without coding - Lv.5 Clustering and Dimensionality Reduction Curriculum Features

This is a core course that presents how to use clustering & dimension reduction, which are the main methods of unsupervised learning through Orange.

1. Understand basic concepts of unsupervised learning

Understand the differences between supervised and unsupervised learning first, and learn through the basic theory of unsupervised learning and various examples

2. Improve data classification skills by practicing various clustering techniques

Understand K-means clustering and DBSCAN techniques from the basics to applications, and learn how to group data and find patterns in data

3. Acquire the ability to analyze similarity between data using distance and similarity

Understand various geometric distance calculation methods such as Euclidean & Manhattan distance, and understand how to use cosine similarity and Pearson correlation coefficient

4. Extracting key information from data using dimensionality reduction techniques

Simple reduction of high-dimensional data with principal component analysis (PCA), and practice data visualization by using nonlinear dimensional reduction techniques such as t-SNE and LLE

5. Acquire analytical and visualization techniques applicable to real business data

Analyze and visualize various actual business data and share practical methods

Premium courses for all,

Increase your competitive edge with data analysis using Orange today!

I'm so excited. Just be prepared to take the course!

1. Take a course

2. Follow the instructor and try using Orange

3. Unleash competitive data-based analytical skills

3 STEP TO SUCCESS, NOW IS YOUR TURN

I learn something like this!

Practice clustering and dimension reduction with DBSCAN and PCA techniques

Practice data analysis with K-means clustering techniques

Distance matrix map analysis by measuring distance and similarity between data

Reduce dimensions to advanced data with manifold learning

Start analyzing data without complicated programming

Understand the basics of machine learning without the burden of codingand analysis using data is possible

Get a new perspective on data

Similarities and differences between data Quantify

Visualize high-dimensional data in an easy-to-understand manner Acquire the ability to do

Apply data analysis skills to practice

Through the practice of various clustering/dimension reduction techniques Unleash data-driven insights across the business

Unlock your data analysis potential with Orange,

Learn quickly and easily now!?

Massive data that grows over time,

Using it is now a necessity rather than an option.

It's not too late. Turn data from enemy to colleague

About knowledge sharers

I can confidently recommend it to people like this.

— Those who want to strengthen practical data analysis skills

— Those who want to improve their data analysis skills without difficult coding

— Data analysts who want to derive business insights by applying AI and data to practice

— Those who want to analyze data through unsupervised learning and clustering & dimension reduction techniques

— Those who feel the limitations of Excel and want simpler advanced analysis tools

— Students who want to emphasize their own differentiation in the job market

— Office workers considering a career transition to the IT field

Did you feel that machine learning and data analysis are far from you?

Learn unsupervised learning, a key technology for data analysis without complicated programming, with Orange

If you want to drive data-driven decisions in the business world, take this course right now.

Course features

STEP 1. Step by step, starting with the basic concepts of machine learning and unsupervised learning

Clarify the concepts of machine learning & unsupervised learning and understand the process of data analysis

STEP 2. Learn clustering techniques to discover hidden patterns in data

Practice how to specifically utilize partitional/hierarchical clusters and representative clustering algorithms

STEP 3. Data visualization and information compression through dimensional reduction techniques

Learn how to preserve key information while reducing the dimensions of complex data through linear/nonlinear dimensionality reduction techniques

STEP 4. Data analysis exercises applicable to practice

Learn practical data analysis skills through practice using actual data along with theory

Are you ready to be the protagonist of the AI era?

Don't think data analysis is difficult anymore.

Now is the perfect time to take a leap forward!

Experience greater efficiency and creativity first.

Expected Questions Q&A

Q. Do I need to have prior knowledge of artificial intelligence, coding, or design to take the course?

A. This course does not require player knowledge such as artificial intelligence, coding, or Excel skills. I will explain from the basics so that anyone can easily follow along. However, if you take up to Lv.1 or Lv.2 of the Orange Course, which is the previous level, you will be able to understand the course content more smoothly.

Q. Are there any requirements or requirements to take the course?

A. If you have never used Orange, we recommend that you learn basic usage and installation methods in advance to make the course run more smoothly.

Q. orange? Do I have to buy software separately?

A. Orange is software distributed free of charge, and anyone can easily build an artificial intelligence data analysis environment. The portable version can be used without an external Internet connection, so it can also be used in a highly secure work environment.

Please check before taking the course!

- - Because it's a practice-oriented courseThe lecture screen and practice screen can be separated Dual monitors or extra devicesIt would be great if you could prepare it together.
  - Also, since the exercises are conducted based on Windows OS, Take courses in a Windows environmentI recommend it.
  - Course textbooks and practice files <00. Textbook Download Center> sectionIt exists at

AI data analysis without coding using Orange - Lv.5 Clustering and Dimensionality Reduction

AI data analysis without coding using Orange - Lv.5 Clustering and Dimensionality Reduction