Visualization of Blue House Petition Data

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 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).

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.

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 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 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 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.

No more encyclopedia-style lectures from A to Z! A reference-style lecture that gathers only the essentials you can apply directly to real-world practice!

There was a rumor that Ediya Coffee always opens its stores near Starbucks. How much of a difference is there really between the store locations of Ediya and Starbucks? Will the real estate price fluctuation trends from 2013 to 2019 be reflected in apartment pre-sale prices as well? What kind of parks are in my neighborhood? How can we best utilize the data available on the Public Data Portal? The goal is to become familiar with Python and various data analysis libraries by working with different types of data through public data.

We will introduce the types of big data analysis techniques and Python libraries for analysis, and the basics of statistical analysis techniques and machine learning analysis techniques.

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.

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.

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.

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.

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!

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.

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

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

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

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.

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

Creating Your Own Data Analysis Portfolio with Free Gemini CLI Vibe Coding: Data Collection, Analysis, Reporting, and Dashboard Automation Even if you are new to data collection, you can collect, analyze, visualize, and create reports and dashboards like a professional data analyst once you master the principles, prompt engineering, and VSCode. From Python data collection to report writing with Gemini CLI and VSCode: Learn prompt engineering and troubleshooting methods for foolproof data collection and analysis.

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

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems