This course is designed to use only personal PCs and laptops. You can directly implement CI/CD automation processes by applying GitOps methodology in a k8s environment without using cost-incurring cloud environments like AWS or GCP.

Through this course, you can understand Android features and set up a development environment to take your first step as an Android app developer.

This course will teach you how to compose in Jetpack. You will learn the core ideas of compose, how to manage state using compose, and how to compose screens.

This course will teach you how to use authentication, database, storage, and FCM provided by Google Firebase. In particular, FCM is a core service of Firebase used by most apps for server push.

This course will teach you about networking, data persistence, and location utilization, which are essential for Android apps. These three features are implemented so frequently that it is hard to find an app that does not utilize them.

This course will teach you how Android components work and how to use them. The core components of Android apps are components. If you develop apps without a proper understanding of components, there will be more than one or two areas where you will get stuck.

This course will teach you the Jetpack library's views for creating various screens for real-world apps. The screens of real-world apps are diverse and complex, so they cannot be developed using only platform APIs.

This course covers the basics of Android app development. No matter what app you develop or what features you implement, you cannot develop without understanding the content of this course.

Through this lecture, I hope to understand the core of the Kotlin language and avoid the mistake of being blocked by the language when developing Android apps.

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

This course is a direct lecture by the author based on the book "Python Quick Start - Python for Work - Ruby Paper (2023/04)". This course is a course to learn the basics and usage of Python, which is known to be easy to learn, so that even non-majors can use programming in real life or work. You will learn Python programming methods through real business cases rather than grammar-centered ones, and you will be able to increase the efficiency and reliability of your work by automating various business processes including HR and finance.

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.

Leveraging Python's basic syntax and popular libraries Auto-generating Python syntax and library code using ChatGPT

No more 'Question - Answer - Read-through' explanations! We explain all the knowledge related to how to solve AWS SAA certification exam questions!

For the sole purpose of passing the exam, we have summarized and organized the key contents of each exam area to prepare for the AWS (AWS Certified Solutions Architect-Associate) certification.

Through this lecture, even non-majors can fully understand the concepts and operating principles of the ORM module, which is the core of Spring.

This course will enable even non-majors to develop and operate Spring MVC-based web applications.

Through this lecture, even non-majors can fully understand the concepts and operating principles of the MVC module, which is the core of Spring.

Through this lecture, even non-majors can fully understand the concept and operating principles of AOP (Aspect Oriented Programming), a core module of Spring.

Through this lecture, even non-IT majors can fully understand the concept and operating principles of IoC (Inversion of Control), the most core module of Spring.

No more encyclopedia-like lectures from A to Z! A reference lecture that only collects the best that can be applied directly to real life!

This course aims to teach data analysis beginners fundamental skills for the entire Python data analysis workflow. As an e-commerce planner and developer leveraging real-world data analysis, I crafted this for easy acquisition and immediate application of the full Python data analysis process.

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 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.

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.

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!

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, a probability and statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice.

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.

Let's build a foundation for using Python and solve data analysis problems!

Through this lecture, you can learn about understanding SQL and databases, SQL syntax, database design for practical application, database utilization through programming, and even data analysis application cases.

This course focuses on developing practical visualization skills that can be immediately applied in the workplace by utilizing Seaborn, a core tool for data visualization, and plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can enhance both your ability to create insight-driven visual materials and implement web-based dashboards.

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>.

This lecture is a follow-up lecture to 'Python Data-Based Stock Quant Investment Part 1'. If Part 1 was more of an introduction, Part 2 is an in-depth lecture that focuses on the entire flow of practical strategy implementation and quantitative investment development. This class focuses on advanced Pandas techniques for handling time series data, and how to implement signal-based strategies and static/dynamic asset allocation strategies that require adjusting asset weights at various intervals based on this. Furthermore, it goes beyond strategy implementation and learns about 'code framework' that directly verifies and backtests various investment strategies with minimal code modifications, how to extend this to improve it so that it can lead to actual investment, and what to watch out for in this process. In addition to the programming component, you can experience the best Python quant investment flow that you cannot find in investment books, blogs, YouTube, etc. by deeply covering theoretical contents such as the two types of return concepts (simple return, log return) and evaluation indicators related to backtesting.

This is a basic course on Python Excel programming that you can learn with the xlsxwriter tutorial. You can analyze data and automate tasks using Python and Excel.

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!

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.

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!

Learn how to collect data from the web and create a supervised learning model for machine learning!