인프런 - 라이프타임 커리어 플랫폼

This is not an investment lecture. It covers data collection, analysis, and visualization through securities data. It covers various data formats and teaches various text preprocessing techniques. It covers visualization techniques for time series data and methods for expressing scale. It covers several techniques for interpreting stock price data. This lecture is a course that teaches you how to gain insights through data analysis. The content learned through stock price data is organized so that you can apply it to collecting, analyzing, and visualizing data such as demand, inventory, sales, and traffic volume, where time series is used.

For those looking to learn Data Science, Big Data, and Crawling, (1) we will summarize the most essential Python core syntax in a short time, and (2) you will become familiar with Python and crawling through practical crawling programming.

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.

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

We will apply it in practice by crawling sites such as Naver, Amazon, Twitter, YouTube, Facebook, Instagram, and unsplash.com.

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.

Explanation of web data collection techniques using Python. Explanation of web data scraping using the latest technologies.

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.

This course is a valuable course that will free you from simple repetitive tasks and teach you web crawling in 12 hours. Smart Talent Campus, a big data specialized education institute, has prepared an efficient and up-to-date curriculum for 2022 for those who want to collect data efficiently based on specialized education methods accumulated over many years!

We're back with massively upgraded content and completely transformed lectures!

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

This introductory course, designed to be the easiest and most practical for Python beginners, covers intuitive dashboards using Streamlit, Google Cloud Platform for deployment, and more. Additionally, you can also prepare for the 빅데이터 분석기사 practical exam.

Python Crawling Master. This one is all you need for everything from installation to application. I've packed in only the essential content for real use.

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

"Following trends is important, but unwavering fundamentals create real skills" This course is an introductory program that helps you understand the flow of data science and properly learn the most practical techniques first.

This is a practical text mining project. This is a lecture that covers everything from data collection to sentiment analysis and data visualization all at once!!

This is a lecture that will teach you step-by-step how to use R to analyze top keywords, wordclouds, sentiment analysis, and topic modeling in text.

For those just starting to learn crawling, I'll explain it in the ① easiest and ② most beginner-friendly way. Crawling is truly fun. I guarantee it; just trust me and follow along.

This course is for those who have learned the basic grammar of Python and will learn the core skills used in text data analysis. I hope that those who are interested in text analysis will gain more ideas through this course and use it for a long time.