Visualization of Blue House Petition Data

We will create 8 Android apps using Kotlin syntax. Beyond 8 practical exercises, you'll learn Android with diverse theoretical explanations.

This is an online class that can help you create a portfolio while preparing for employment as an Android developer.

This is an Android development theory for creating a portfolio app for employment (job change).

This is a basic Kotlin grammar course. Designed for those wanting to develop Android apps in Kotlin, it offers an enjoyable way to build a solid foundation in Kotlin grammar from scratch.

We'll go through a simple tutorial and hands-on practice with Circuit, an Android Jetpack Compose framework.

This course is for developers who have already used programming languages (Java/Python/Swift/Kotlin, etc.). It is a lecture designed to quickly learn JavaScript in one hour. Although we are in an era of coding with AI, human developers must supervise AI code. Therefore, this lecture aims to quickly build the minimum knowledge needed for supervision.

Let's create a plausible app with Jetpack Compose. Let's advance the example a little and connect the API (Firebase) to do network communication.

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.

Stop telling your designers, “This doesn’t work on mobile.” Jetpack Compose makes it easy to implement UI/animations.

How about moving away from XML-only Android development and introducing Jetpack Compose?

Jetpack for Android Dev with Kotlin: An Introduction. Covers LocalDB/Network communication.

Are you tired of making the same old TODO list / CRUD example apps every time? This is a course for hands-on practice with various technologies, building a Coin Price Monitoring App in a fun way.

Introduction to Jetpack (JETPACK) for Android development with Kotlin. You can practice various techniques that can be used while developing Android apps.

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.

There was a rumor that Ediya would open a store near Starbucks. How different would the locations of Ediya and Starbucks be? Will the real estate price fluctuation trend from 2013 to 2019 be reflected in the apartment sales price? What kind of parks are there in my neighborhood? How can I utilize the data in the public data portal? The goal is to become familiar with Python and various data analysis libraries by handling various types of data through public data.

Coding Excel Data in Python?! It's Not Hard~ Becoming a Leading Worker is Just a Matter of Time!

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

This is a lecture on data visualization using the Matplotlib library.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

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

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

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.

AI that thinks and adapts? Now you can build it yourself. Master the core of reinforcement learning with intuitive explanations and code, not complex theories, and grow into a 'practical developer' through finance and industry projects.

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

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!

If you're just learning Python and don't know what you can do or what you should do? Let's learn how to use web technologies with Python, such as web crawling, automation, and APIs.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

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, which can handle Big Data, one of the fundamental technologies in full-stack and data science utilized by modern startups. MongoDB is the easiest and quickest technology to utilize among NoSQL databases. In this lecture, you will learn the basics of MongoDB in a short time, and also acquire the skills to manipulate and utilize MongoDB with Python.