Data analysis using Orange 3

This is a special lecture summarizing the key points for passing the NCS revised Information Processing Engineer practical exam. You can efficiently study for the CBT written exam and written practical exam.

This is a special lecture summarizing the key points for passing the NCS revised Information Processing Engineer written exam. You can efficiently study the CBT written exam and written practical exam.

It's structured to enable understanding of ChatGPT and text generation AI, learning effective real-world use, practice via diverse examples, and direct application.

Through this lecture, you can learn the basic grammar of the C language. Instructor: Professor Eunmi Jeong (SW Convergence Education Center, Andong National University)

Learn how to break down complex concepts into easy terms and apply them to collaborative projects from the ground up.

This is a web programming course for beginners. It is designed to help you learn the basic grammar and usage of HTML, CSS, and JavaScript step by step. It covers the core elements of web development, such as web page structure and design, and implementation of interactive features.

This course aims to understand IoT concepts and develop practical skills through hardware construction and coding using Arduino and Micro:bit.

Using block coding Entry, foster computational thinking and problem-solving skills, and through Entry AI tools, learn artificial intelligence concepts and practice simple machine learning.

Through this lecture, you will understand artificial intelligence and learn App Inventor programming to create smartphone apps using artificial intelligence technology.

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.

This course introduces core principles and practical uses of various generative AI technologies (text, images, video, music), helping foster creative problem-solving skills.

Learn the basic grammar and object-oriented programming of Java.

Learn the basic grammar of the Python language, practice writing simple logic using it, and learn about various libraries.

You can solve everything from the concept of the metaverse to its utilization at once. It will be of great help to those who are new to the metaverse.

From building analysis models to application with Orange! Learn easily and quickly! You can master the core technologies of data science without coding!

"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.

Criteria for organizing complex data at a glance: Cognitive-based practical visualization designed with Excel and AI.

Data analysis and machine learning that can be done even without knowing how to code. From elementary school students to the general public, you can learn step by step from the beginning.

"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.

Do you want to generate significant profits even in a bear market? Are you interested in automated trading but haven't been able to start because of coding, trading strategy design, exchange APIs, or server deployment? In this course, we guide even those new to Python to turn trading ideas into concrete strategies using ChatGPT and Codex, and implement them into backtesting and live automated trading code. We will practice Binance Futures automated trading using Python and CCXT, technical indicator strategies, DCA (dollar-cost averaging) backtesting, and Upbit API-based Kimchi Premium strategies. Afterward, we will apply Telegram notifications and order safety features, manage the completed bot with GitHub, and deploy it to a cloud server. Rather than leaving all investment decisions to the LLM, humans will determine the strategies and risk management criteria, while using the LLM as an assistant to help with strategy design, coding, and troubleshooting. After completing the course, you won't just be running the provided code—you will be able to create, verify, modify, and deploy your own unique strategies!

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

Put an end to daunting data analysis with ‘Exploratory Visualization’! Drastically increase the speed of practical analysis without difficult coding.

🧩 Rather than focusing on complex formulas or theory-centric explanations, the goal is to learn the core concepts of recommendation systems by directly implementing programs. 🛠️ Through a total of 12 diverse and practical examples, we have progressively designed recommendation systems that can be utilized in real-world environments, including content-based recommendation, collaborative filtering, and deep learning recommendation.

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

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

Have you been getting stuck on linear algebra formulas every time you try to study AI? Instead of memorizing formulas, this lecture shows you visually how vectors and matrices actually move in space. By the end of the course, you will be able to interpret the mathematics behind neural networks, PCA, and SVD on your own.

This lecture is designed for job seekers preparing for Evaluation and Analysis roles in Samsung Electronics' DS Division (Memory, S.LSI, Foundry, TSP, AVP) and PE, AE, and Solution PE roles at SK hynix, who are struggling with the differences between business units and job functions. You will learn how to categorize job titles by company based on the actual workflow of Product Evaluation roles and how to translate your major-related experiences into professional terminology suitable for resumes and interviews. We will help you establish an application strategy by connecting experiences in Analog circuit design, Verilog/FPGA, process experiments, and data analysis with key industry terms such as Yield, Wafer Map, Shmoo Plot, and Failure Analysis.

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

This is a Python basics course for starters who want to grow as data analysts. - Those who want to do data analysis but don't know Python - Those who want to learn machine learning with Python - Those preparing for the Big Data Analytics Engineer practical exam - Those who want to develop machine learning-based applications with Python