[R] Data Collection and Management for All KOSPI/KOSDAQ Stocks

This course is for those who want to study machine learning but lack statistical knowledge.

You hear a lot from people about how important big data and data analysis are. But in reality, there aren't many places where beginners can access related knowledge. This course is a renewed lecture in 2022 based on the specialized teaching methods that have been accumulated for many years at big data professional education institutions, and teaches everything from the basics of data analysis using the R language to data visualization.

You can easily learn how to collect and process data using Excel's Power Query feature, even if you don't know coding. You will learn Excel crawling skills by practicing the project below together.

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

We cover frequently used functions for R programming, how to write code efficiently, and intermediate techniques.

Build basic R programming skills and learn basic crawling techniques. We will explain each line while writing the code yourself.

This is an advanced course where you will directly implement and interpret practical statistical techniques such as sampling distributions, hypothesis testing, regression analysis, and logistic regression using R. By utilizing AI tutors like ChatGPT and Gemini, you will learn everything from code generation to interpreting analysis results and writing reports, allowing you to take your data analysis capabilities to the next level.

This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.

Those who have learned the basics of Python will learn how to utilize Python after watching this lecture.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

Feeling overwhelmed by where to start with complex data analysis? I will clearly guide you through how to utilize R and AI Tutors using the practical know-how I've built up.

Leveraging Python's basic syntax and popular libraries Auto-generating Python syntax and library code using ChatGPT

Master the Big Data Analysis Certification—an essential credential that is by no means easy to self-study—in a short period using R, an easy-to-learn data analysis tool!