No-Code AI Data Analysis Using Orange - Lv.0 Introduction to AI-Based Data Analysis

First steps with Claude AI: Doing it right from the start for immediate practical use! If you want to work smarter, start with Claude AI.

It's okay if you don't know a single line of code. We are now in the era of 'Vibe Coding,' where you develop by 'conversing' with AI.

AI solutions that maximize innovation and performance! Your business will leap to a new dimension.

AI writes on Slack and Notion for me? Work smarter with MCP, which goes beyond the limits of existing AI!

A course to quickly learn the core features and pro-tips of Notion, a collaboration tool that offers various functions easily and conveniently! Learn systematically from sign-up to effective utilization, and boost your work efficiency and collaboration productivity!

Data analysis is complete with this one tool. Get started with Orange AI data analysis without coding!

The era of creating designs one by one is over. Experience the speed of turning "thoughts" into "results" with Canva AI.

The start of smart work - work intelligently anywhere, mobile or PC! Go beyond the limits of content creation with the most advanced Google AI tools available today.

Now is the time to answer based on data rather than experience! If you quantify reliability with statistical knowledge and present it as evidence, your persuasiveness will go up infinitely!

Learn Google Analytics 4 properly once and keep using it in practice! Increase your data analysis utility and boost your performance!

From basic AI research with Perplexity to completing full strategy reports! A practical business automation class proven by results: finish your work in just 10 minutes.

AI will not replace people. However, 'you who utilize AI' will replace everyone who does not.

Reliable answers without hallucinations, and even natural-sounding Korean podcasts. NotebookLM, the AI knowledge curator that organizes your scattered materials!

Notes keep piling up, but work only gets busier. Structure your notes with Obsidian and transform your workflow to be faster and easier.

AI agents, the latest trend in generative AI! How to stay ahead with Cursor, which handles all your development tasks, and MCP, which expands its capabilities!

Midjourney, the premier tool for image-generating AI! From basic usage to real-world application through practical design projects, all in one go!

Master the nationally certified data analysis associate specialist qualification exam in 2 weeks! Acquire the core theories and background knowledge of data, and learn advanced knowledge of data analysis using R, a statistical analysis tool.

Adding Copilot to MS Office? The perfect guide to maximizing work productivity! We provide a systematic learning process for effectively utilizing M365 Copilot in practice.

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!

Reading data turned into money! Even payment receipts thrown in the trash can lead to sales. If you want to turn the data that fills your daily life into results, try developing your data literacy.

From the basics to applications of unstructured data analysis Easily and quickly with the AI analysis tool Orange!

We help marketing practitioners solve the "having data but being unable to reach a conclusion" problem through a practical routine—spanning problem definition, analysis, interpretation, and one-page reporting—combined with the use of ChatGPT.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

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!

The chemical and fine chemical manufacturing industry is a sector that requires complex processes and high safety standards. This course covers strategies for leveraging AI to increase productivity, reduce costs, and enhance safety. You can systematically learn practical skills centered on AI application cases that can be immediately applied in actual field settings, including process data analysis, quality prediction, equipment predictive maintenance, and environmental regulation compliance.

This course covers practical strategies for leveraging AI in the machinery and metal processing industry to enhance productivity and quality. It analyzes key process data from CNC, welding, cutting, and other operations, explaining how AI technology is applied to reduce defect rates, enable predictive maintenance, and manage worker safety through real-world case studies. Learners will understand AI-based processing optimization methods that can be immediately implemented in the field, from small and medium enterprises to large corporations, and gain insights to realize manufacturing innovation in global competition.

Customer analysis completed with Excel and Orange, from cross-selling to A/B testing and churn risk management all at once

This course is a hands-on training program that leverages ChatGPT to analyze numerical and textual data and transform it into practical business reports, comprehensively covering everything from basic data structuring to pattern insight extraction, KPI analysis, automated customer feedback classification, and building automated templates for recurring reports, allowing you to develop both data interpretation and text conversion skills simultaneously. It maximizes learning effectiveness by providing data visualization hints and designing customized templates for teams and individuals in parallel.

This course is a specialized program that covers practical application strategies for utilizing artificial intelligence (AI) in the construction and civil engineering fields. In the construction industry where digital transformation is accelerating, AI is driving innovation across design, construction, safety, and quality management. This course focuses on learning practical application cases that can be utilized in actual field sites, including smart construction, digital twins, AI-based equipment control, safety monitoring, and quality verification.

Learn various features of Looker Studio (formerly Google Data Studio) using GA4 demo data. This includes explanations and hands-on practice for Looker Studio's visualization elements. In particular, marketers or planners who are not familiar with SQL can learn easy ways to connect and use BigQuery data with Looker Studio. You can learn methods to create dashboards using Looker Studio.

This is a course for PMs who want to utilize data. It covers the entire process of using data in a PM role, capturing the full workflow from your first day at a new job to the beginning and end of a project. It is an introductory data course designed to build your thinking power, covering everything from data-driven and logical thinking to metric definition, log design, experiment design, and building a data culture. Although it was created for PMs, the content is also highly beneficial for data analysts (in fact, many analysts have already taken this course). Additionally, many professionals in marketing, design, and business planning roles are also taking the course.

I used to spend hours writing blog posts too. I wasn't good at writing, and it would take me 30 minutes just to come up with a title and an hour to create a thumbnail. When I factored in writing social media posts, it sometimes took half a day to complete a single article. I was good at speaking, but struggled to organize my thoughts into writing. While I enjoyed audio content creation, the task of turning it into blog posts felt daunting, so I always put it off. But everything changed after I started using Google Opal. Simply by uploading an audio file, the blog content, title, thumbnail, and social media posts are all automatically generated. Moreover, by having it reference my own writing rules, it generates text that feels authentically "me" and not "AI-like." In this course, you'll be able to create the same workflow I actually use, taking the shortest route possible. No programming experience required. You can create AI apps just by giving instructions in Japanese. Even if you don't do audio content creation, that's fine. Just talk about a blog topic that comes to mind on the spot, and your article will be complete. You no longer need to spend hours agonizing over writing. Just speak, and your blog post, thumbnail, and social media posts are complete. That future starts today.

Repetitive tasks like organizing Excel sheets, sending emails, and categorizing receipts… Are you still doing them manually? Now, leave those tasks to n8n and AI, and focus on what really matters. This course is designed to help anyone implement workflow automation using n8n—a tool that requires no coding—and apply it directly to real-world tasks. In just one hour, you will implement automation from A to Z yourself. Instead of a long 10-hour lecture, we give you only the essential core! To save your time, we focus solely on practical, real-world workflows.

Learn the problem definition and hypothesis formulation process, core competencies for data analysis!

🚀 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.

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.

Master the Big Data Analysis Certification—an essential credential that is by no means easy to self-study—in a short period using R, an easy-to-learn data analysis tool!

An introductory AI lecture tailored for those new to artificial intelligence! It easily summarizes core concepts from data to generative AI. The goal is not to build AI, but to achieve a level of practical understanding where you can ask the right questions and explain the technology.

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