Business Insights through Big Data Analytics

This is a course designed for procurement cost management practitioners aimed at promoting procurement cost management strategies and rationalization, which are core functions of corporate procurement organizations. Through theoretical learning and practical case studies for procurement cost management, you can understand the specific characteristics and management techniques of procurement cost management, and acquire essential basic accounting knowledge for procurement cost management to understand the interconnected relationships.

It is case-study based to acquire accurate prior knowledge and practical skills in corporate accounting. By acquiring basic accounting principles, from voucher creation to closing and financial statement prep, via core principles, accounting knowledge can be applied in real-world business.

To build precise cost accounting knowledge and practical skills, this course covers core costing principles including calculation and reporting, structured with case studies for direct real-world use.

It is structured to systematically master the necessary legal standards from the planning to execution stages by organically linking the three core laws—the Act on the Maintenance and Improvement of Urban Areas, the Building Act, and the Housing Act—which serve as the foundation for real estate development and renovation projects.

The course is structured to provide a systematic learning experience of the entire development process, ranging from the basic concepts of land and legal rights to the various licensing and permitting procedures that serve as key barriers to land development.

The course consists of a practical curriculum that can be immediately applied to the field, ranging from how to use the latest agent tools such as Genspark and Manus to corporate security guidelines. Through this, you can directly build an AI agent collaboration system that automates repetitive tasks such as information gathering, data analysis, and basic report writing.

This course is designed to help you master the entire process of real estate auctions, from the basics to the final distribution of proceeds, with a focus on practical application. It provides definitive practical solutions for developing independent auction analysis skills and ensuring successful, risk-free investments.

From asset management using proptech to AI-based intelligent logistics and transportation system analysis, and even profitable smart home models, we provide practical know-how to design real business revenue models using technology as a tool.

We present the optimal investment direction amidst complex economic indicators and a flood of real estate policies. Going beyond simple theory, we provide market analysis and forecasts across all sectors—from the impact of macroeconomic indicators such as GDP and inflation on real estate to land, housing, offices, and income-generating properties.

It covers 18 core themes, ranging from the basics of property law to the most challenging practical issues such as liens, statutory surface rights, and the opposing power under the Housing Lease Protection Act. It delves into the pitfalls of rights to be assumed upon sale or registrations restricting disposition—which are easy to miss due to a lack of expertise—and presents a standard model of rights analysis essential for practitioners.

This course systematically covers the fundamental principles of technology valuation and major evaluation methodologies, including the income, market, and cost approaches. In particular, it focuses on ensuring the reliability of evaluation results by providing detailed learning on core elements such as estimating technology life cycles, analyzing cash flows, and deriving discount rates and technology contribution ratios. Moving beyond theoretical understanding to include the use of web-based evaluation systems, it provides a practical guide for professionals to precisely measure the value of technology assets and immediately apply them to commercialization strategies.

We summarize the essential feasibility items that must be checked throughout the entire real estate development process, from the land acquisition stage to the final investment decision, from a practical perspective. We present methods for systematically classifying risk factors at each stage and analyzing them to diagnose the actual profitability and feasibility of the project. Through this, we focused on internalizing analytical capabilities to see through the intrinsic value of a project and derive the optimal direction for business promotion.

It provides a sharp analysis of the core changes in labor laws, focusing intensively on subcontracting structures and collective bargaining response scenarios that companies must review. By presenting specific guidelines that practitioners can apply immediately in the field, it offers optimal solutions to proactively protect management and property rights amidst an uncertain business environment.

This course covers professional quality inspection techniques to preemptively block and prevent quality issues occurring at manufacturing sites. It systematically presents core content that field practitioners must know, ranging from an overview of quality assurance to the theory and practical application of sampling inspection (KS Q ISO 2859), securing data reliability through instrumentation and Measurement System Analysis (MSA), and continuous quality improvement processes through inspection data feedback.

From organizational understanding to reporting techniques, I provide coaching on the real secrets to working effectively that no one at the office ever taught you. I will equip you with practical tools to master everything from personal branding for an irreplaceable presence and professional communication skills to documentation and time management all at once.

We show you how to scientifically block every potential gap for defects, from design to production. By establishing quality assurance systems, implementing Design and Process FMEA procedures, and applying process control technologies for stable quality maintenance, you can achieve the core field objective of pursuing zero defects.

This course provides comprehensive knowledge of human resource management for business operations and presents practical techniques in an easy-to-understand manner. It is designed to be immediately applicable in the field by combining real-world cases with methods for utilizing various HR systems, such as job analysis, recruitment, and performance evaluation.

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.

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.

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.

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.

Anyone can learn data analysis with Chat GPT. You can learn how to apply it in practice through various analysis exercises. (Absolutely!! ChatGPT paid version is required!)

Are you learning R, Python, and coding for big data analysis? TEXTOM Bigdata Academy online can help you collect, refine, and visualize data in just 5 hours!

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

"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.

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

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!

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.

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.

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 lecture is designed for job seekers preparing for Evaluation and Analysis roles in Samsung Electronics' DS Division (Memory, S.LSI, Foundry, TSP, AVP) and PE, AE, and Solution PE roles at SK hynix, who are struggling with the differences between business units and job functions. You will learn how to categorize job titles by company based on the actual workflow of Product Evaluation roles and how to translate your major-related experiences into professional terminology suitable for resumes and interviews. We will help you establish an application strategy by connecting experiences in Analog circuit design, Verilog/FPGA, process experiments, and data analysis with key industry terms such as Yield, Wafer Map, Shmoo Plot, and Failure Analysis.

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.

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.

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

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 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.

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.

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.

Let's use the R language, which processes data easily and conveniently, to help even non-computer science majors develop their skills in utilizing computer programs related to their own fields!