Super-easy, super-fast data collection (Python crawling)

This is a fast-paced development course for busy planners. You can learn the entire development process by developing web front-end, back-end, and DB yourself with simple explanations.

We will create a decent app using Jetpack Compose. Going a step further from basic examples, we will connect an API (Firebase) and even implement network communication.

We will create 8 apps while learning how to build Android applications using Kotlin syntax. In addition to the 8 hands-on practice materials, we will study Android through various theoretical explanations.

This is an introduction to Jetpack for Android development with Kotlin. You can practice various techniques that can be used while developing for Android.

This is a course that can help you create a portfolio while preparing for a job as an Android developer.

We will conduct a brief tutorial and hands-on practice regarding Circuit, an Android Jetpack Compose framework.

This course is designed for developers who already have experience with programming languages (such as Java, Python, Swift, Kotlin, etc.) to quickly master JavaScript in just one hour. In an era of coding with AI, human developers must still supervise AI-generated code. This course is intended to help you rapidly build the essential knowledge required for that supervision.

This is Android development theory for creating a portfolio app for employment (or career transition).

Stop telling designers, "This doesn't work on mobile." You can easily implement UI and animations with Jetpack Compose.

Shall we move beyond Android development using only XML and introduce Jetpack Compose?

This is an introduction to Jetpack for Android development with Kotlin. It mainly covers LocalDB and network communication.

This is a basic Kotlin syntax course. It is designed for those who want to develop Android apps using the Kotlin language, and you can enjoy learning Kotlin syntax thoroughly from the basics.

This course is for those who have learned the basic grammar of Python and will learn the core skills used in text data analysis. I hope that those who are interested in text analysis will gain more ideas through this course and use it for a long time.

This is a lecture where we will step-by-step explore top keywords, word clouds, sentiment analysis, and topic modeling using R.

Build basic R programming skills and learn basic crawling techniques. We will explain each line while writing the code yourself.

Advanced Selenium course that is not blocked on large platforms Developing a bot that moves like a human

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.

Through this course, you can learn SQL and database fundamentals, SQL syntax, database design for practical applications, database utilization through programming, and data analysis use cases.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

This lecture is for beginners who are new to coding, as well as those who want to try out various uses of Python, covering basic concepts of Python, Numpy, Pandas, Plotly, Django, and crawling, as well as simple data analysis.

Now display Python results as web pages! You can create your own web page using only Python. This is an opportunity to create an Interactive Dashboard that allows you to check results created with Python, such as data analysis and machine learning, on a web page!

Build data-driven investment strategies with Python quant investing and put them into practice. You can implement various asset allocation strategies and ultimately create your own unique investment strategy.

Let's develop specialized skills in programming skills, algorithm skills, and statistical analysis skills!

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

This course is a hands-on program for practicing the fundamentals of machine learning mathematics and statistics using Python. While machine learning and deep learning require programming skills, a mathematical background is necessary to understand the underlying principles. Through this course, you can step-by-step master the foundational mathematics required for artificial intelligence.

Those who have learned the basics of Python will learn how to utilize Python after watching this lecture.

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!