Career
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Master machine learning, neural networks, and data analysis—skills you can apply in business, healthcare, industry, agriculture, science, and more
High Demand
12 Months
Course Duration
From Scratch
No Programming Experience Required
Plenty of practice
The course consists of 70% practice and 30% theory
From Scratch
No IT experience
The Data Science specialist
Data Science
Who is a Data Scientist
+ Data Analytics
+ Artificial Intelligence
+ Data Engineering
+ Big Data
+ Machine Learning
+ Data Visualization
+ Computer Vision
+ Deep Learning
transforms large amounts of unstructured data into useful and organized information, develops machine learning models and neural networks to solve complex problems and make informed data-driven decisions
Name of professions: Data Scientist, ML-Engineer, AI Researcher, Data Engineer, AI Engineer, Data Analyst, etc.
After the course you will be able to:
Integrate neural networks into business processes
Develop algorithms for stock trading
Create demand forecasting systems
Create face and object recognition systems
Develop recommendation systems
Identify anomalies and outliers in data
Data Science job openings have increased by 433% over the past three years.**
6000+
Careers in Korea
Careers in Korea
Retail, esports, travel, education, healthcare—skilled Data Scientists are in demand across nearly every industry
High
demand
demand
Data Science ranks as the top profession with the highest demand in the job market through 2025
No.1
in the world
in the world
Course author
- Senior ML-engineer
Founder of x2day.io
Creator of the educational platform manjeom.com
Graduate of SNU and Seoultech
Experience working with Samsung
Author of articles in Medium
Vladimir Egay
- Master's degree in Computer Science and Engineering from Seoul National University
- IT Integration Consultant
- Leading neural network and cloud integration specialist
10+ years of experience
Who You'll Become After Completing
Position
Machine Learning Specialist, Data Engineer, Data Analyst, ML-engineer, Data Scientist, AI Engineer
Skills:
₩2 800 000 – 3 200 000
You will be able to start in a junior position, gain experience, take on more complex projects and grow in value
Старт от
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Learn the basics of Python, object-oriented programming, working with libraries (Numpy, Pandas, Matplotlib) and virtual environments.
Python programming
Learn the basics of linear algebra. Learn to work with vectors and matrices, analyse data using Pandas, and prepare data for model training.
Linear Algebra and Data Processing
Data Visualisation
Learn how to represent data visually to analyse it and present results using the popular Matplotlib and Seaborn libraries.
Learn basic machine learning algorithms such as: linear regression, decision trees, ensemble models. Learn how to build models and evaluate their performance.
Machine Learning
Master working with PyTorch, create neural networks including convolutional and recurrent networks, learn methods of regularisation and optimisation of neural networks.
Neural Networks
Explore transformers and attention mechanisms, learn how to work with BERT and GPT and use them for text classification, translation and summarisation tasks
Working with modern architectures
Average salaries
Master basic NLP techniques such as tokenisation, creating embeddings, building and fine-tuning models for text analysis and creating chatbots.
Natural Language Processing (NLP)
Develop and deploy your own projects based on AI. Build your own AI projects and bring it to production. Learn to use Docker, FastAPI to deploy models to web applications and cloud platforms (AWS).
Developing your own ML projects
Job placement
You will receive personalised support from an HR specialist. Together you will create a CV, prepare a portfolio and develop a career plan so that you can find the right job faster.
92%
of our graduates have already found jobs in more than 70 Korean companies
We can help you with your CV and portfolio
Together, let's create a CV that will grab the employer's attention and highlight your strengths in a favourable way
Teach you how to interview IT recruiters
You'll learn how to interview confidently and avoid job search mistakes
Jenny Kim
PhD, Head of HR
Vladi Mun
Partnership jobs
We will employ you in our partners' companies or find vacancies in other companies even before the end of the course
Founder of Habsida
About our school
Habsida is an international online programming and web design school with a state educational licence.
We have been training IT professionals and helping them find jobs in leading Korean companies for over 5 years, solving the developer shortage problem.
Course programme
On the course you will learn modern methods and technologies of artificial intelligence and machine learning.
Over 12 months, you will learn both theoretical knowledge (30%) and practical skills (70%) - from the basics of Python programming to advanced machine learning techniques and getting your project into production
Over 12 months, you will learn both theoretical knowledge (30%) and practical skills (70%) - from the basics of Python programming to advanced machine learning techniques and getting your project into production
Goal: Learn the fundamentals of Python programming to prepare for working with data and AI models.
Curriculum:
Curriculum:
- Python Basics: Variables, data types, and operators.
- Conditional Statements and Loops.
- Slicing, Lists, Modules, and Exception Handling.
- Introduction to Object-Oriented Programming (OOP).
- Managing Virtual Environments (conda, venv).
Goal: Master the fundamentals of linear algebra.
Curriculum:
Curriculum:
- Basics of Vectors, Matrices, and their Operations.
- Understanding and Applying Determinants and Inverse Matrices.
- Using the Pandas Library for Data Manipulation.
Goal: Learn data processing methods for analysis and preprocessing. Gain the ability to visually represent data for analysis and presenting results.
Curriculum:
Curriculum:
- Basics of Creating Charts with Matplotlib and Seaborn.
- Advanced Data Visualization Techniques.
- Integration of Pandas and Matplotlib for Analyzing Time Series and Other Data Types.
Goal: Understand key machine learning concepts and master basic algorithms.
Curriculum:
Curriculum:
- Machine Learning Theory: Supervised and Unsupervised Learning.
- Working with Scikit-Learn and Other Tools to Build Initial Models.
- Data Preprocessing and Model Performance Evaluation.
Goal: Master advanced machine learning algorithms and techniques.
Curriculum:
Curriculum:
- Ensemble Methods, including Random Forests and Boosting.
- Dimensionality Reduction and Clustering Techniques.
- Anomaly Detection and Experiment Monitoring with TensorBoard.
Goal: Learn the fundamentals and principles of deep neural networks.
Curriculum:
Curriculum:
- Perceptron, Multilayer Perceptrons (MLP), and Activation Functions.
- Optimizers and Loss Functions, Basic Models in PyTorch.
- Regularization Techniques and Backpropagation.
Goal: Master convolutional neural networks (CNN) for computer vision tasks.
Curriculum:
Curriculum:
- CNN Architecture and Functionality, Practical Application for Image Classification.
- Advanced Architectures such as ResNet and VGG, and Fine-Tuning Techniques.
- Hands-on Projects on Image Processing and Augmentation.
Goal: Understand and apply NLP techniques for text data analysis.
Curriculum:
Curriculum:
- NLP Fundamentals, Working with NLTK and SpaCy.
- Text Classification Models and Sentiment Analysis.
- Practical Applications of word2vec and Other Word Embedding Models.
Goal: Learn RNNs for working with sequential data, such as text or time series.
Curriculum:
Curriculum:
- RNN, LSTM, GRU Architecture and Working Principles.
- Hands-on Projects in Forecasting and Sentiment Analysis.
- Application of Attention Mechanisms.
Goal: Master transformers and attention mechanisms for advanced NLP and other tasks.
Curriculum:
Curriculum:
- Theory and Practice of Transformers.
- Applying Models for Machine Translation and Text Processing.
- Advanced Architectures, including BERT, GPT, and LLaMA.
Goal: Integrate and apply accumulated knowledge and skills in complex projects.
Curriculum:
Curriculum:
- Project Planning and Implementation.
- Data Collection, Model Selection, Testing, and Versioning of Data and Models.
- Team Collaboration and Project Management to Achieve Objectives.
Goal: Learn how to deploy machine learning models to production for real-world business applications.
Curriculum:
Curriculum:
- Model Deployment Techniques, using FastAPI to create a web application API.
- Managing Model Updates and Data Versioning with DVC.
- Deployment on Cloud Platforms (AWS).
- Future Perspectives and Advanced Topics for Continued Learning.
You will receive a diploma and confirm that you have become a specialist
We are an accredited school in South Korea
Take a look at how our students from other course received their diplomas
The course mentors will explain even the most difficult topics
All backgrounds are welcome
We welcome all students: regardless of age and education
Any background
25%
Factory workers
20%
Stay-in-home moms
15%
Language teachers
40%
Rest
Any gender
73%
Female
27%
Male
Any age
63%
18-25
19%
26-35
11%
36-45
7%
46+
Our graduates stories
Back
Flexible payment features
One-off payment
12 months
installment payments
installment payments
On a 12-month instalment plan
5 000 000
₩
Up to 15% discount for the whole course at once
Payment by remittance
Payment by credit card
490 000
Payment by credit card
₩/m.
Payment by remittance
Nov 11
-15%
5 880 000
- 12 months, online
- Employment assistance
- Diploma
- Highly paid profession
Enrol on a course or get a free consultation
Leave a request
Sign up for the course before November 11th and get up to 15% discount
Answers to FAQs
Yes. Our courses are designed specifically for people who have no background in programming. The main thing is to spend enough time studying the materials: watch the lessons regularly, do your homework and listen to the mentor's recommendations.
This course covers a broad range of knowledge in Data Science and includes numerous practical assignments, allowing you to specialize in various fields such as Data Scientist, ML Engineer, Data Engineer, AI Engineer, Data Analyst, and more.
On average, the program lasts 12 months with a commitment of 20 hours per week. This translates to roughly 2.5 hours on weekdays and one additional day on the weekend.
To work as a programmer in Korea, you need conversational proficiency in either English or Korean. While knowing Korean is an advantage, it is not a strict requirement. Many successful foreign programmers have secured employment with English proficiency alone, without knowing Korean.
To enroll in our courses, you must be at least 18 years old by the time of course completion.
Our courses are fully online. You can study at your own pace, accessing course materials and video lectures on our platform at any time that suits your schedule.
You will study the provided materials and complete a variety of tasks, including tests and hands-on projects. There are many assignments of varying difficulty, but you will receive guidance from an experienced mentor who has worked in Korea.
Throughout the course, the following interactions are included:
Throughout the course, the following interactions are included:
- Weekly group calls with all students and the mentor.
- Chatting with the group coordinator.
- One-on-one theoretical and practical reviews with the mentor after each module (about every 1.5 weeks).
You can take breaks, but we do not recommend it. Access to the platform will be paused during this time. Based on our experience, students who take extended breaks often struggle to complete the course within 12 months, as their progress resets. Without continuous practice, learned skills are quickly forgotten, and students typically need to revisit the material from the beginning.
We help with employment after completing our courses as follows:
- Knowledge Overview: Upon completion of the program, the mentor will provide a comprehensive overview of all your skills and knowledge.
- Summary and Interview Preparation: Our HR Director, who has a PhD in Social Sciences, will help you prepare a competitive resume and prepare for the interview. We will also provide you with information about frequently asked questions during interviews and give advice on how to behave during interviews.
- Access to Job Posts: You will have access to vacancies from our partners who are ready to invite you.
- Support after employment: We will accompany you in the first few months of work, helping you to successfully pass the probationary period and advising you on difficult work issues such as delay or non-payment of salary, correct dismissal, overtime pay, job change, etc.
There are two payment options:
- Payment at once
- Payment instalment for 12 months
Any questions?
If you have any questions or do not know where to start, please contact us
© Schoice Habsida, Inc
인천광역시 연수구 송도동 172-5 송도AT센터 업무동 (A동) 1406호
02-888-5599 / M. 010-6268-0026
Business Registration Number (BRN): 108-87-01605
인천광역시 연수구 송도동 172-5 송도AT센터 업무동 (A동) 1406호
02-888-5599 / M. 010-6268-0026
Business Registration Number (BRN): 108-87-01605
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