Big Data Analysis and Visualization Using Python

It covers practical content on urban redevelopment project methods, related laws, step-by-step procedures, permits, union establishment and operation, and business plan processes. Urban redevelopment experts diagnose the current state based on varied field experiences, offering a comprehensive and clear overview of future outlooks.

The program is structured with content including real estate development project financing, PF case studies, and other materials for smooth funding of real estate development projects utilizing project financing techniques. Through this, you can understand the overall execution of real estate development projects and enhance your capabilities in PF financing design, risk management, and feasibility analysis.

Essential basic business etiquette, workplace etiquette appropriate for each level from junior to senior, and global business etiquette to be shown to foreigners encountered in business are presented through situational examples.

We can help you derive specific strategies and tactics to achieve the sales targets assigned to sales staff, making them immediately applicable in the field. We have structured the content by incorporating various case studies to discover scientific sales targets and strategic alternatives from quantitative demand forecasting, enabling practical implementation. You can develop job competencies to strengthen planning capabilities, information management, and execution skills by acquiring the marketing, finance, cost, and statistical knowledge necessary for sales planning.

We provide a practical guide for designing and operating core implementation tasks of MES systems to improve quality and productivity in manufacturing companies, as well as a guide for establishing key implementation strategies for successful MES system construction. Additionally, we explore data utilization technologies and development trends for operating the latest smart factories, including the Fourth Industrial Revolution, and provide data-based decision support measures to improve corporate productivity and quality. Through this, you can establish efficient operational plans for information management in successful smart factory MES systems.

Ajou University Professor Cho Sun-mi, a mentor to parents of this generation, presents various cases she directly observed and experienced regarding the wounds children receive at school and their causes, conveying them in an easily relatable way, and proposes solutions on how to heal the hearts of wounded children, the entire content being structured to encourage reflection on the proper role of parents.

Theories and various case studies for real estate location and commercial district analysis are provided to help identify commercial district change factors and develop the insight to select investment-friendly districts.

To lay a strong foundation for development projects, we have organized the core concepts and challenging terms of real estate public law, which is fundamental to real estate development.

This content is structured around lecture guidelines for new instructors starting to teach within an organization and lecture skills to encourage active participation from trainees.

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.

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.

You can understand the difference between adjusting entries and closing entries, verify the closing procedures for each account, and communicate accounting information through financial statements.

We have structured the content so that you can understand everything from the complex and confusing concepts of chart of accounts to their practical application all at once. For the convenience of managers and practitioners, we have created a table of contents that allows you to find chart of accounts based solely on transaction details, and we systematically include not only chart of accounts considering various industries but also journal entry methods, so any company can apply them to suit their own circumstances.

We have presented key credit analysis checklists related to business feasibility review by integrating them with various case studies. Additionally, we have explained the credit analysis methodologies that Credit Analysts use in practice to enhance their applicability in the field.

We provide easy-to-understand guidance on corporate fund management solutions across all aspects of fund operations, including corporate fund management, cash flow planning, and fundraising, along with various case studies. Through this, corporate fund management personnel can develop the practical skills in fund management and fundraising necessary to perform their duties.

From Python fundamentals to practical data analysis! You will learn practical Python skills for processing, visualizing, and analyzing data while solving business problems.

"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.

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.

ADsP Certification All-In-One Course! Ultra-Short Term Completion! Reflecting 2025 August 46th Exam! (Continuous Updates!)

In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.

Learn NoSQL technology, which can handle Big Data, one of the fundamental technologies in full-stack and data science utilized by modern startups. MongoDB is the easiest and quickest technology to utilize among NoSQL databases. In this lecture, you will learn the basics of MongoDB in a short time, and also acquire the skills to manipulate and utilize MongoDB with Python.

This course will help you quickly learn the core concepts of Python and the Pandas library. Improve your programming skills by solving the practice problems at the end of each part!

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

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

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 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.

Coding Test [ALL IN ONE] ✔️ Complete with one lecture

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

Solve coding test problems using Python.

Through this lecture, you can learn about understanding SQL and databases, SQL syntax, database design for practical application, database utilization through programming, and even data analysis application cases.

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.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

You will learn techniques that can be applied in various fields of IT security, starting from the introduction to Python programming.