[D-PEC UP_PASS] National Technical Qualification: Management Information Visualization Ability (Written Exam)

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The AWS Certified AI Practitioner practice exam course is a core summary program designed to help you pass the certification. First, you will quickly review the basic concepts of AI/ML and Generative AI, and learn the features and use cases of key AWS AI services that frequently appear on the exam (e.g., SageMaker, Rekognition, Polly, etc.). Based on this, you will practice determining which AI solutions are suitable for various real-world scenarios, while also covering topics related to the responsible use of AI models and data security. Finally, you will learn problem-solving strategies for each type of exam question and prepare for the actual test through mock exams. This course allows you to prepare for the exam efficiently in a short period of time.

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This online course covers everything from the basic concepts of information security to the latest security issues, focusing on core content for obtaining certification. It enables efficient exam preparation through theory and practical mock exams that reflect the latest trends, and is structured so that even beginners can easily follow along.

Computational thinking isn't something that only computer science majors learn. Every profession has problems that need to be solved, and computational thinking can be used to solve those problems.

The most definitive way to build the backbone of your data No more fragmented knowledge. From DAsP (Data Architecture Semi-Professional) certification to practical modeling skills, this is the single most perfectly structured masterclass. "Are you still relying on piecemeal memorization for data modeling?" The ability of an 'architect' to translate complex business requirements into clear data structures is the most irreplaceable weapon in the IT ecosystem. This course goes beyond simply passing a certification; it provides practical insights to see through the enterprise-wide data flow.

This course is designed for those who wish to obtain the nationally certified Advanced Data Analytics Semi-Professional (ADSP) certification. As the need for practical data analysis experts in both public and private sectors grows, this course is structured to help participants objectively verify their data analysis skills—essential for data utilization across society—and successfully apply for and obtain the certification.

This course is designed to help students easily understand the concepts of the Internet of Things (IoT) while simultaneously preparing for the IoT Knowledge Proficiency Test certification exam.

The Big Data Analysis Certification is a nationally recognized certification exam held twice a year. For those preparing for the practical exam, we have provided detailed lectures covering everything from the basics to core concepts. As the exam difficulty increases with each session, we have included various essential contents starting from the fundamentals to help improve your chances of passing.

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

We'll learn about the Tableau visualization tool needed for the Business Information Visualization Skills practical exam. Don't hesitate any longer and take on the challenge!

Do you have the data but feel overwhelmed about how to read and process it in Python? Don't worry. You can handle it with the magic of Pandas. Pandas is the most powerful, efficient, and useful data processing library. Skill-UP your data preprocessing with Pandas! Get instant insights!

At a time when cultivating data analysis experts is essential, this course is designed to help participants obtain the state-certified 'Advanced Data Analytics Semi-Professional' (ADsP) certification.

Through this course, you can learn SQL and database fundamentals, SQL syntax, database design for practical applications, database utilization through programming, and data analysis use cases.

A course that builds your capacity to collect, process, analyze, and visualize data to make accurate decisions! Through this course, understand the Excel functions necessary for data analysis and derive the results you want!

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.

Easy and fun SQL stories learned from professional instructors! Lectures are conducted systematically and step-by-step for beginners. We offer opportunities to learn with sufficient repetition through a 3-step learning process.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

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

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.

Knowledge Graph-based RAG System Implemented with Neo4J: Next-Generation Search Technology Utilizing Data Relationships Beyond Simple Vector Search Maximizing RAG Performance with the Power of Graph Databases!

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.

This is the second in-depth course on Microsoft Power BI that will help you analyze and explore data more effectively by applying various visualization techniques. Through this course, you will be able to accurately understand the data modeling work and relationships in Power BI and grasp various concepts that you must know to effectively utilize DAX.

Through this lecture, students are expected to be able to check actual materials such as big data contests and self-introduction essays and determine the direction of their studies and job preparation.

This is an in-depth course on Microsoft Power BI that allows you to analyze and explore data more effectively by applying various visualization techniques. Through this course, you can learn how to connect various data sources, refresh data in the way you want, and learn various data preprocessing methods to edit data in a form suitable for analysis.

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