AI Data Analysis Without Coding Using Orange - Lv.7 Time Series Analysis and Association Rules

Apply the latest trends in generative AI directly to your work! The bible of prompt engineering lectures, containing only the essentials.

If you design the tests first, AI handles the implementation. A practical development approach that captures both speed and quality!

A complete roadmap for obtaining the Big Data Analysis Engineer certification! We provide a systematic learning process for passing the exam, from data analysis beginners to experts.

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.

Have you ever thought, "I wish I had Iron Man's perfect assistant, Jarvis..."?! Complete everyone's Jarvis to help you handle your work wisely!

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

Excel is enough, even if you don't know how to code! This course enables non-majors to perform data analysis using Excel, covering everything from statistics to machine learning and Power Query.

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

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!

Sensational video content created with just a single line of text! A quick and easy introduction to SNS content creation starting with Kling AI

Delegate the pressure of overflowing financial data and reports to an AI agent. From corporate analysis to report automation, an overwhelming workflow for financial experts that changes the game of practical business!

This course helps you make the most rational business decisions through data, from data connection to visualization. Master Power BI data analysis and visualization to derive valuable insights!

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!

The Gemini agent that works across Google Drive! Put the finishing touches on your Google AI workflow with overwhelming productivity.

$0 model fees, infinite visuals completed with NanoBanana All-in-one visual creating for diverse content designs

From understanding big data to actual analysis planning, start preparing for your certification right away with systematic training!

Understand machine learning concepts, AI learning principles, and mathematical principles for model implementation to fully utilize deep learning!

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

This course teaches you how to derive business insights or share derived insights by creating visual reports in the form of dashboards that support automated user interaction based on Google Data Studio, a free service.

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

From data preprocessing to visualization all at once! Gain advanced skills easily without coding or Excel!

From understanding and utilizing time series data to correlation analysis Complete easily and quickly with the AI analysis tool Orange!

"Smart Factory—it sounds cool, but can't quite picture it in your head?" The news talks about the 4th Industrial Revolution and AI factories every day, but when you actually look for information, it's full of "alien languages" like PLC, MES, ERP, and Edge Computing. What non-majors need isn't a complex circuit diagram, but a 'map' that shows how the whole system works. This course strips away difficult engineering jargon and explains everything about smart factories through intuitive illustrations and analogies that anyone can understand.

We are now in an era where data speaks louder than intuition. Learn data analysis easily with ChatGPT!

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.

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!

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!

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.

🚀 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.

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.

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

🧩 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.

Learn how to process big data from a Silicon Valley software engineer & how to develop big data code with Apache Spark using Python. I am a 14-year software developer who handles everything from web applications to big data and SRE & DevOps with Python. Don't miss this opportunity to learn about Apache Spark, which is essential for big data professionals, in an easy and in-depth way using Python!

We guide non-majors and beginners to quickly obtain the Big Data Analysis Certification (Practical Exam)! Keep the theory light and the practice solid—focusing on core points that are guaranteed to appear on the exam through past questions, without the need for complex background knowledge.

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

Understand the core of big data business and provide insights on how to utilize it in marketing strategies in the field.

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

Repetitive pipeline management in Data Warehouses (DW), now free yourself from that painful cycle with dbt! Building on the efficiency provided by dbt, become a data analytics engineer who creates higher value through business-centric data modeling, effective data lifecycle management, and more.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.