[Hạt nhân] Bài viết phân tích dữ liệu lớn năm 2025 (lý thuyết)_Môn 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!

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

This course was created for those who are preparing for the Big Data Analyst practical exam. It will help you pass the exam by learning as concisely as possible, and it will also provide an opportunity for those who are considering their career path to lightly learn about coding and machine learning.

The Big Data Analysis Engineer practical exam has common problem patterns. And a few lines of code must be memorized before going to the exam hall. If passing the exam is your goal, you must take this course.

This course is designed for those who wish to obtain the nationally certified Associate Data Analyst certification. It objectively verifies data analysis skills, which are essential for data utilization across society, and is structured to enable individuals to take and pass the qualification exam with the competencies acquired through this course at a time when there is a need to train practical data analysis experts in the public and private sectors.

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!

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.

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

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 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.

Did you know that there are different types of data analysts? If you want to know everything about in-house data analysts and consulting data analysts, come to this seminar!

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.

Data analyst job prep: Lost on where to begin? Get hints at this September seminar!

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 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'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!

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.

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

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.