: "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.

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

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.

Introduction to C language, the foundation language for software development

* 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

I created a lecture by selecting the Java parts that are absolutely necessary for Android app development. The total lecture time is 13 hours and 30 minutes. It will be very helpful if you organize it once before developing Android. There are more lectures on the YouTube Soft Campus channel. I hope it was helpful. Instructor Jaeseong Yoon

CSS & CSS3 will be the easiest to learn. Good luck!!

You can learn all about JavaScript, including an overview of the JavaScript language, basic grammar, and provided libraries.

You can learn HTML & HTML5, which are essential for creating responsive web pages.

"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.

"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.

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.

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.

Unity3D Practical Project Game Development by Genre Part 01 Defense game.

You can learn the basic principles of run games like Cookie Run and create Unity games through practical projects in Unity by genre.

This course is an FPS game that runs on AR using Unity. You can learn about AR projects from AR settings to build and run.

In this course, you will build a system that directly parses DWG drawings in Unity and automatically converts them into actual 3D walls based on lines and polylines. After completing the DWG → 3D map automatic generation pipeline, you will also implement map editor functionality that allows you to freely place various objects on the generated space and save/load them in JSON/DB format. Finally, by integrating essential features used in real-world digital twins such as heatmaps, status displays, and real-time data reflection, you will complete a digital twin project from start to finish that can be immediately applied in industrial settings.

For those who have hesitated to adopt Git and Github for collaboration or have given up for various reasons, this introduces Git basics and the GitFlow branching strategy. It's structured to help you learn Git and Github tailored to the specific characteristics of Unity projects.

This is an introductory VR development course that teaches you how to connect VR equipment and develop VR content using Unity. Since the marketability and prospects of VR can already be found in many contents, we have not covered them and have only extracted the core elements needed for actual development. If you want to learn how to develop VR in an easy and fast way that you can use for a long time, come here!

Learn how to design various shaders and visual effects that can be used in games using Unity 6 Shader Graph. This is a step-by-step lecture from basic to advanced techniques for beginners and experts alike.

Game development is a complex field that goes beyond simple coding to encompass performance optimization, architecture design, collaboration, accessibility, and monetization. This course summarizes the sessions from GameDev Day 2025, a global event hosted by JetBrains, and captures the real-world challenges and solutions that professional developers face in the industry.

Complete a Match-3 game by connecting Unity and Claude Code via MCP, allowing you to request development from AI even without coding knowledge. You can experience the entire process of practical game development, from environment setup to game system implementation, mobile optimization, and ad monetization.

Unity6 × C# × R3 Complete Guide to 2D Strategic Tower Defense Let's develop a full-fledged game together

Learn the basics of collaboration that you can use in your Unity collaborative projects. We will use Git Bash instead of Github Desktop to work directly with Git. If you don't understand something, please ask!

We will implement player controls, animations, and an attack system using Claude Code, and develop boss AI detection, pursuit, attack patterns, and phase transitions using the Behavior package. We will guide you through a step-by-step tutorial.

It's an undeniable fact that mathematics is essential for game developers. Instead of excessively deep traditional math lectures, learn all the mathematical techniques you can use right away!