[Nuclear House] 2025 Big Data Analysis Article (Written)_Subject 1~2

You know how to use Excel, but what if you keep doing similar tasks over and over again, and it takes a long time, but the results don't seem to improve? What you need is speed and quality! The engineering girl's function and data analysis tips will neatly solve the Excel worries of office workers. (*Can be learned with Excel 2013 or later versions)

The only lecture that delves into a specific professional field! A subject-specific professional in the field will tell you the fastest way to pass the exam through a thorough analysis of the exam trends!

“Why aren’t there any usable photos even though I take so many?” There is a secret to turning everyday life into a pictorial with just a smartphone. From shooting to editing, check out the detailed know-how of Korea’s first smartphone photography instructor, and leave each photo you take as a work of art!

In an era where anyone can make videos, but you can't! If you're feeling overwhelmed with what to start with just the motivation, start with this lecture. Even people who know nothing about videos can easily and without burden make videos with just a 'smartphone'!

Only experts create content? Now, it is an era where ordinary people, not experts, can become content producers! We present a method for beginners to easily and simply create content through ‘content gardening’, a content production process that can be applied to any content. If you want to become an active producer, not just a content consumer, try the ‘content creation’ course!

Reports, marketing, YouTube, SNS! No matter where you are or what you do, your writing ability determines your success. The answer is not toxic writing, but writing that makes ‘money’! Pay attention to the know-how of <Money-making Writing for Office Workers> from Korea's leading writing coach!

Are you losing money because of your words and getting things messed up because of your words? If you change your speaking habits, you can properly convey what you need to say and end it, and have a refreshing conversation. We will teach you how to smoothly and naturally convey difficult situations and sharp stories, so that you can have a beneficial conversation!

The only lecture that delves into a specific professional field! A subject-specific professional in the field will tell you the fastest way to pass the exam through a thorough analysis of the exam trends!

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.

A current professional data analysis instructor at a large company who passed the Big Data Analysis Writer and Practical exams in one go will help you prepare quickly by summarizing the key points.

What do you learn in the 'Management Information Visualization Professional' certification course? This certification course focuses on developing the ability to analyze data effectively, visualize it for easy understanding, and communicate necessary information clearly and efficiently for important decision-making within companies or organizations. In simple terms, it is a process of learning the skills to not just look at data, but to uncover hidden meanings within it and express them through charts, tables, and graphs so they can be easily explained to others. Through this course, you will: Develop the power of strategic thinking through data, build practical skills that can be applied immediately to real-world tasks, and enhance your professional expertise and competitiveness. Through this lecture, cultivate the ability to connect management with data and take a step forward as an expert who understands and explains data.

We will help those preparing for the Big Data Analysis Engineer Practical Exam with R to prepare for the exam. We will select and inform you of only the essential parts based on the questions that were on the Big Data Analysis Engineer Practical Exam. If you complete the course, you will be one step closer to passing the Big Data Analysis Engineer Practical Exam. We have reviewed the recent exam questions and uploaded related scripts and data. Also check out the latest exam information.

SQLD, where do I even start? This course is for those who feel completely lost - you'll meet a transformed version of yourself after completing it. SQLD All-in-One Pass!

"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.

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.

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

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

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

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.

"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.

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.

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

It improves logical thinking skills, develops an understanding of how to use programming tools, and develops the ability to design algorithms for problem solving.

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.

This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.

This is a practical project lecture that collects data and analyzes big data using Arduino and wind sensors.

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.