AI Data Analysis Without Coding Using Orange - Lv.3 Predictive Machine Learning Analysis

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.

Don't be afraid of coding or data analysis anymore! Develop your data analysis skills without coding using Orange.

Easy and powerful data analysis anytime, anywhere! Simple with Orange 3, even if you don't know how to code!

🧩 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.

A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems

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.

ADsP Certification All-In-One Course! Ultra-Short Completion! Reference Book: "Everyone's ADsP Cheat Sheet" https://wikidocs.net/book/18829

ADsP Summary + Past Exam Solutions. Reflects August 2025 46th Exam! (Continuously Updated!)

🚀 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.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

Make AI data analysis and modeling results into a Web Program.

SSIS, SSAS, MachineLearning, BI, ETL. You can learn important technologies that cannot be found in domestic books, YouTube, lectures, blogs, and academies. I also recommend it to those who are interested in employment at domestic large companies, American large companies, and American state funding agencies.

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.

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.

As the popularity and interest in AB Testing explodes, we will introduce Korea's first AB Testing lecture right now!

Statistics learned in school, was it too hard to understand? No matter how much you listened to the explanation, statistics were confusing, but we will help you understand them. If you implement them one by one by hand using Excel, you will understand statistical concepts that you didn't understand! A new experience that makes boring statistics fun! We will give you a gift. :)

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 did user research... but is this result truly representative of all users?" If you're having this concern, pay attention! We will show you exactly how to add persuasiveness to your designs based on data. ✅ We explain complex statistical terms in the simplest way possible. ✅ We select only the 3 core hypothesis tests essential for UX practice and introduce them thoroughly, from principles to hands-on practice. ✅ We show you how to easily analyze user data using AI—with zero cost and no hallucinations.

Let's use the R language, which processes data easily and conveniently, to develop computer program utilization skills related to one's major, even for non-computer majors!

Let's learn how to collect data from the web and create a supervised learning model for machine learning!