JSP WEB MVC Model2 Programming (Intermediate Course)

This course covers everything from JSP basics to completing a vehicle purchase shopping mall project, enabling you to carry out real-world projects immediately upon completion. (Please note that this course does not provide a Q&A service.)

"From environment setup to practical business projects, a data science journey to find revenue answers through data (39 lectures in total)." Go beyond simply learning how to use libraries and learn how to cook real-world e-commerce data through the data science process. Starting from development environment setup and Numpy/Pandas basics to data preprocessing, statistical analysis, visualization, and business scenario-based RFM segmentation and hypothesis testing! Systematically master the core competencies of a data scientist through practical projects.

This lecture is a lecture by instructor Jaeseong Yoon, who teaches Android lectures at App School: Like a Cool Lion.

This course is based on the concepts learned in the Spring Framework and teaches how to implement web applications. All the learned content is summarized and a final mini-project is conducted. After completing the course, you will be able to immediately perform a real project. It contains a total of 65 lectures and 29 hours and 37 minutes of study time.

: "From environment setup to practical business projects, a data science journey to find answers for e-commerce sales through statistics (38 lectures in total)" Go beyond simply learning how to use analysis tools and learn how to process log data from actual e-commerce fields using statistical processes. After building a solid foundation in core theories—from setting up the development environment to descriptive statistics, probability distributions, and hypothesis testing—you will move on to comparative analysis of actual user app dwell time and purchase conversion rates, and even quantify performance contribution through multiple linear regression analysis! Systematically master the core data scientist competencies of 'data-driven decision-making and analysis automation' through practical projects.

Easy explanations and examples are provided so that you can apply them directly to your work.

Introduction to C language, the foundation language for software development

"From the basics to 7 domain projects, completing the A to Z of deep learning (41 lectures in total)." Go beyond simply calling models and learn how to build clean, efficient deep learning pipelines using PyTorch Lightning, the current industry trend. Grow into a confident AI engineer capable of handling any data by directly implementing 7 projects, ranging from stock price prediction to generative AI, medical imaging, and sound analysis.

: "From Mathematical Foundations to the Latest Models, Completing the Deep Learning Pipeline with PyTorch (44 Lectures in Total)" The era of simply learning how to call model.fit() is over. From the very basics of artificial neural networks—differentiation and gradient descent—to essential PyTorch techniques used in the industry, and CNN/RNN for handling image and time-series data! We will help you systematically master the entire process of deep learning. Go beyond analyzed data and step into the amazing world of deep learning, where artificial intelligence mimicking the human brain learns and makes decisions on its own.

: "From environment setup to 7 practical projects, a deep learning full-stack journey across data domains (35 lectures in total)" Go beyond simply following example code and learn how to cook various types of real-world data using deep learning. Starting from building CPU/GPU development environments, you will cover waste sorting classification (Image), stock price prediction (Time-series), ECG anomaly detection (AE), animation stylization (GAN), medical image segmentation (U-Net), and sound classification (Audio)! Systematically master core deep learning algorithms through hands-on projects.

: "From Mathematical Foundations to the Latest Models: Completing the Deep Learning Pipeline with TensorFlow (44 Lectures Total)" The era of simply learning how to call model.fit() is over. From the very foundations of artificial neural networks—differentiation and gradient descent—to the essential use of TensorFlow and Keras in the industry, and even CNN/RNN for handling image and time-series data! We will help you systematically master the entire process of deep learning. Go beyond analyzed data and enter the amazing world of deep learning, where artificial intelligence mimicking the human brain learns and makes decisions on its own.

"Beyond Data Analysis: Mastering Predictive Modeling with 5 Real-World Projects (45 Lectures Total)" Have you finished learning data analysis but feel stuck when it's time to actually build a model? Beyond simply learning how to call libraries, this course will help you fully master the inner workings of algorithms and optimal model validation strategies—ranging from Titanic survival prediction to spam text classification. Systematically conquer projects that wield the most power in the industry, from linear models to the latest ensemble algorithms and the basics of Natural Language Processing (NLP). Step into the world of AI modeling and start predicting the future based on analyzed data.

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

* 100% Practical Curriculum: Focused on hands-on data handling rather than grammar-based learning * Essential Machine Learning Prep: A complete summary of data preprocessing techniques required before AI training * Data Analysis Tool Mastery: Conquer core functions of Numpy (numerical operations) and Pandas (data manipulation) * Deriving Visualization Insights: Transferring data visualization skills using Matplotlib and Seaborn * Building Statistical Foundations: Learning basic statistics and group analysis techniques to identify data characteristics

Currently, Android development can be done using both Java and Kotlin. You can develop the same Android applications regardless of which language you choose. This course covers most aspects of Android application development, from basics to advanced topics, and all code is written using Kotlin starting from the fundamentals. Additionally, it utilizes Google's latest UI library, Material 3. This course involves completing three projects throughout the entire Android curriculum. By working on these projects, you can master advanced techniques actually used in the industry, such as Hilt, Retrofit, Room Database, and MVVM. Furthermore, you can increase productivity using AI by performing "vibe coding" with Gemini within the Android development tools. Soft Campus will always strive to provide the most up-to-date lectures.

Android can be developed using the Java and Kotlin languages. You can develop the same Android application regardless of which language you use. This course covers most aspects of Android application development, from basic to advanced levels, and all code is written using the Kotlin language starting from the basics. Additionally, it utilizes Google's latest UI library, Material 3. This course primarily focuses on the action bar, data management, resource management, sensors, and networking within the overall Android development process.

Currently, Android can be developed using the Java and Kotlin languages. You can develop the same Android applications regardless of which language you use. This course covers most aspects of Android application development, from basics to advanced levels, and all code is written using the Kotlin language starting from the fundamentals. Furthermore, it utilizes Google's latest UI library, Material 3. This course primarily focuses on menus, Android application components, threads, and fragments within the overall Android curriculum, and more in-depth topics will be covered in the next course. Soft Campus will always strive to provide the latest lectures. Thank you.

You can create hybrid casual games using Unity 6.

Learn C# in the Unity environment. Learning C# will help you naturally learn the Unity development environment, which will be very beneficial for beginner developers.

This is the Android 15 App Development Part 1: UI Programming course featuring the latest Material 3 library.

[Spring 2nd Edition] is a course to create a backend (Java Backend) development expert with integrated capabilities by directly implementing a Spring Legacy project to perfectly implement reply posting, paging processing, and search functions among bulletin board functions, and a bulletin board project using Spring boot, Spring JPA, and Security.

This course covers everything from JSP basics to completing a vehicle purchase shopping mall project, enabling you to carry out real-world projects immediately upon completion. (Please note that this course does not provide a Q&A service.)

Did you give up while studying Spring? Even complete beginners new to coding and non-majors can make it from JSP to Spring Boot without giving up - we'll open the path to Spring Boot for you.

Let's quickly learn React's core design patterns through concepts and examples!

This lecture will delve deeper into the various features of ASP.NET Core. You will practice what you have learned through Facebook authentication practice.

We will introduce the SW required for developing web applications using Java, and learn how to install and use the required SW. We will also introduce the setup process and execution method for starting Java web programming in IntelliJ IDEA Community, a programming development tool from Jetbrains (https://www.jetbrains.com/). Through this lecture, you can practice the basic process and tools used for developing web applications.

You can solve design problems by writing code in a formatted way. You can understand code or patterns written by other programmers.

You can learn design patterns to implement flexible and scalable object-oriented programming. Learn various patterns that can be used in the real world and apply them to your projects and code refactoring.

Just listen. The lecturing skill, captivating power, and lecture quality are different.

I'd like to show you how to develop a course evaluation website that can be applied anywhere, whether it's high school or college.

Master React now. Easiest course to grasp React's features & roles, comparing to pure JS!

Full 40-hour Spring-based full-stack web development course, completely free.

The bulletin board function, which is the most important in website development, will be developed in an instant using JSP. Bootstrap will be used as a web design framework, and the method of creating a bulletin board will be explained step by step.

What if you could build platforms like Karrot Market and Airbnb by yourself? An advanced Rails 8 course for indie hackers and freelancers who can quickly build platforms by themselves!