Big Data and Statistical Analysis Using R

The structure and innovation methods of human resource loss, equipment loss, and material loss are presented in an easy-to-understand manner with various case studies. Through this, you can achieve increased productivity including production efficiency, system improvement, and diversification of individual capabilities.

Structured to foster accurate foundational knowledge and practical application skills in overall financial statement analysis, this program organizes the accounting cycle from basic theory, accounts, to closing, primarily via real case studies, for practical use in actual business settings.

The content focuses on cultivating data-driven analytical capabilities, including regional characteristics, site conditions, competitive factor analysis, and customer attraction diagnostics. It provides case-based examples to enable real estate practitioners to quantitatively and qualitatively evaluate locations and commercial areas, strengthening their analytical skills for actual business planning and investment execution.

This course is structured to systematically teach methods for writing various business documents concisely and clearly, structuring persuasive, logical content, and visualizing data easily at a glance, enabling you to improve your confidence and document writing skills. Through this course, you can increase document writing efficiency and improve confidence and work capabilities.

Based on an accurate understanding of black consumers, appropriate countermeasures and strategies are acquired, enabling effective response to black consumers. Furthermore, it is designed to enhance the professionalism of service staff and improve job satisfaction.

To allow even beginners to easily approach SQL, everything from basic installation methods to fundamental knowledge, and even points beginners should especially note, has been presented clearly and simply for effortless access.

We help you diagnose your self-leadership and teach you strategy development methods through self-leadership success cases. Through this, you can learn the roles and attitudes required as a professional employee and establish an action plan for success and achievement within your organization.

We have structured relational leadership for building trust and expanding relationships with various case studies. We also provide integrated conflict management methods for constructive relationship recovery.

This is a course designed to improve your ability to successfully communicate your arguments and ideas in various presentation situations such as proposals, reports, and briefings. We hope that through this course, you will become a more competitive presenter.

We'll cover the most fundamental core principles of using Excel as a business tool. We'll teach you various Excel elements from the principles of Excel calculations to functions, formulas, aggregation, and filter utilization. The content is structured around how to construct formulas, understanding functions at the center of formulas, and methods for utilizing aggregation and filter features.

This patent guide is designed to legally protect the development achievements of universities, research institutes, and companies, and to secure exclusive technological competitiveness. Additionally, we provide efficient and competitive research and development directions through understanding intellectual property-based R&D trends and predicting technology gaps.

We provide comprehensive guidance on discovering, proposing, and transferring technology-based innovative products to business divisions, and inform you about the functions and roles of R&D, product development, marketing, and business divisions related to product development.

We provide strategic implementation plans that can offer direct assistance in performing duties, focusing on essential content that corporate education and training managers must know. We have also included methodologies and procedures for designing corporate human resource development systems, as well as content on recent applications of competency modeling and case analyses of educational systems through job analysis.

Based on comprehensive theories including job analysis procedures for job-centered human resource management, NCS job analysis, job analysis and performance management (KPI), and job-based pay systems, this content is structured in an easy-to-understand manner by combining various cases with issues that frequently occur in the field.

This is designed for practitioners in both public and private sectors who handle urban planning, development activities, maintenance projects, and licensing work to systematically understand the provisions of the National Land Planning Act and apply them in practice.

We aim to improve the Personal Skills and Work Skills of key talent. We provide solutions for growing into key talent, including fostering creativity and thinking skills, methods to enhance interpersonal relationship skills, and followership.

We provide you with comprehensive information on everything needed to manage partner companies. You can learn logical and rational selection and evaluation methods for partner companies, as well as various management techniques to ensure manufacturing quality from partner companies. Additionally, we help you improve your ability to systematically manage partner companies and maintain partnership relationships with them.

This course is designed to be easily understandable with various case studies covering quality strategy development, implementation, and goal monitoring techniques to achieve quality objectives under established quality policies. Additionally, it presents methods for recognizing and evaluating quality issues by converting them into monetary units, which are common management metrics, and is a process that can measure the accurate performance of current quality management systems through the introduction and operation of quality costs, while developing systematic and continuous quality cost management capabilities.

We will introduce the concept of Statistical Process Control (SPC) as a scientific approach for quality improvement and data literacy. Additionally, we have structured this content by integrating data-driven Quality Control (QC) techniques and application methods for reducing process variation with various case studies.

The content has been structured to help improve job competency by covering the accounting knowledge necessary for work performance, from basic concepts up to the composition stages of financial statements. We have explained double-entry bookkeeping concepts and content related to financial position and business performance by incorporating various practical cases.

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 lays the foundation for basic data analysis, including understanding R and data, data processing methods for data analysis, and data visualization methods. You will learn how to conveniently process data into the shape you want by utilizing variables, functions, and packages.

"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.

We cover how to discover previously unknown signals of business and technological change through the collection, analysis, and visualization of patent big data!

How is processing big data different from processing data with Pandas? Let's learn about Spark, an essential framework for big data processing.

We will provide information on 3D spatial information data acquisition and mapping methods using drones, LiDAR, etc., and data visualization tools and techniques based on the application areas of 3D spatial information data, incorporating various case studies.

You will learn about the four stages of big data processing [data collection ▶ data storage ▶ data analysis ▶ expression] in a more fun and systematic way through a code lab method consisting of 30% theory + 70% practice 🧑🏻‍🏫

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

Uncover true value in the age of data! 📊 Designing applications focused on data has now become essential. Develop the insight and skills your company wants with the latest trends and practical case studies. Start now with efficient data processing and design secrets! Your next step, leap into the data-driven world!

This course is designed for those aiming to obtain the Data Architecture Semi-Professional (DAsP) certification, systematically covering essential content needed for the exam—from basic concepts of data architecture to data modeling, data quality, and governance—in an easy and organized manner. By minimizing complex theory and focusing on frequently tested concepts, the course is structured so that even non-majors and beginners can learn without burden. Prepare for the DAsP certification while building fundamental competencies in understanding data structurally.

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 is a course on the R program, which is widely used in statistics and data analysis. It covers everything from a basic introduction to the program to intermediate-level statistical theory and modeling.

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!!

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

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.

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.

Learn the process of building data pipelines using Apache Airflow from basics to practical application. Understand Airflow's core concepts and architecture, and master advanced design patterns frequently used in practice such as dynamic DAGs, parallel processing, distributed processing, and Custom Operators through hands-on exercises. Set up a practice environment with Python and Docker, and develop practical skills to design and operate real workflows.

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

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.