Coding-free AI data analysis using Orange - Lv.3 Predictive machine learning analysis

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.

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.

$0 model fees, infinite visuals perfected with Nano Banana All-in-one visual creation for diverse content designs

The Latest Trend in Generative AI, AI Agents! How to Stay Ahead with Cursor, which handles all development tasks, and MCP, which expands functionality!

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.

Claude AI First Steps: Get It Right from the Start, Directly Applicable in Practice! Want to use it smarter? Start with Claude AI.

From controlling your PC to advanced research and app development A guide to building your own 'AI work assistant' ready for immediate deployment

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

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

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

Even if you don't know how to code, Excel is enough! This is a lecture that teaches automation through automation so that even non-majors can easily merge, edit, organize, and handle large amounts of data with Excel.

The open-source AI automation tool chosen by global companies, n8n. You too can start your Agentic Workflow for free, without coding!

Apply the latest trends of Generative AI directly to your work! The bible of Prompt Engineering lectures, packed with essentials

This course is designed so that even those who are unfamiliar with statistics or are not confident in statistics can easily perform data analysis using R. Understand the basic grammar and data structure of R that can be easily overlooked, and develop your data analysis skills through various examples and practice!

If you've ever thought... "I wish I had JARVIS, Iron Man's perfect assistant"?! Complete everyone's JARVIS to help with your smart work management!

From understanding SQL to using actual functions, Complete preparation for SQLD certification with the latest past exam questions!

Stylish video content created with just one line of text! An Easy and Fast Introduction to SNS Content Creation, Starting with Kling AI

Write meeting minutes, build apps, and even create videos all on one platform. Become an AI multiplayer with Google AI Studio!

Reliable answers without hallucinations, plus natural Korean podcasts. NotebookLM, the AI knowledge curator that organizes scattered materials!

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

Easy, powerful, always-on data analysis! Orange 3: Simple, no coding!

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

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. :)

This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.

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

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.

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

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

Master the Big Data Analysis Engineer certification, an essential but never easy-to-self-study credential, in a short period by utilizing R, an easy-to-learn data analysis tool!!

For your exam preparation, move forward now on the path of data-driven analysis and insight. We are rooting for your success. 2026 Written Exam Application 1.12 ~ 1.15, Written Exam Schedule 1.30 ~ 3.3, Announcement of (Expected) Successful Candidates 3.11 Eligibility Review Base Date 3.3, Practical Exam Application 3.23 ~ 3.26, Practical Exam Period 4.18 ~ 5.6 Final Results Announcement 6.5 https://www.instagram.com/letitgoleelee

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

🚀 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.

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!

🧩 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!

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.

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.

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

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