[Nuclear House] 2025 Big Data Analysis Article (Written)_Subject 3~4

The only lecture that delves deeply into a specialized field! A subject-specific industry expert will show 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!

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 deeply into a specialized field! A subject-specific industry expert will show you the fastest way to pass the exam through a thorough analysis of the exam trends!

The Certified Big Data Analyst exam is a nationally recognized certification administered twice a year. This course provides detailed lectures covering everything from the basics to the core concepts to help you prepare for the practical exam. The exam difficulty increases with each iteration. To address this, we provide a range of essential content, starting with the fundamentals, to improve your chances of passing.

Many applicants want to solve past questions. Why is that? Because the question setter refers to past questions. Solving the latest past questions is the shortcut to success.

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.

This lecture aims to systematically learn the essential core concepts and functions absolutely necessary for the Business Information Visualization Practical Exam (Tableau), based on the exam guidelines of the organizing institution. It is structured around practical exercises so that you can freely use the functions frequently tested in the actual exam, and through solving mock exam problems of types A and B, you can improve your understanding of the exam types and your problem-solving skills together. Lecture plan and materials can be checked at https://github.com/hansikyung/Tableau_OneTime.

SQLD, where should I start? A course for those who feel completely overwhelmed, you'll meet a transformed version of yourself after completing it. SQLD All-in-One Pass!

SQLD, where should I start? This course is for you who feel so overwhelmed; you'll meet a changed you after completing it. SQLD All-in-One Pass!

Students who want to learn Hadoop and Big Data will celebrate the amazing advancements in experiencing the world of Big Data through this course!

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.

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.

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!

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

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.

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.

It's now an era where data speaks, not intuition. Learn data analysis easily with ChatGPT!

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!

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.

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.

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.

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!