[리뉴얼] 처음하는 MongoDB(몽고DB) 와 NoSQL(빅데이터) 데이터베이스 부트캠프 [입문부터 활용까지] (업데이트)

For those who want to learn data science, big data, and web scraping, this course will: (1) organize the most essential Python syntax in a short amount of time, and (2) familiarize you with Python and web scraping through hands-on web scraping programming.

This course offers an easy and fast way to learn FastAPI, the latest full-stack and backend framework, along with cleanly organized materials and projects that cover backend concepts, core FastAPI syntax, and asynchronous database utilization in an easy, step-by-step manner.

Through this course, you will learn to understand SQL and databases, SQL grammar, database design for practical use, database use through programming, and data analysis use cases.

This course is designed for Python data analysis beginners to learn the fundamentals of the entire data analysis process. As e-commerce planners and developers who are actually using data analysis techniques in the field, we have made it easy to learn and immediately apply the entire Python data analysis process.

This course is redesigned, unlike existing courses, to help you easily understand machine learning and apply it to real-world problems, based on the instructor's own failures when they first learned machine learning.

This course is newly designed to help you learn deep learning step-by-step, covering mathematics, theory, PyTorch-based implementation, transfer learning, and even GPT's core Transformer, based on the instructor's own failed experiences when first learning deep learning.

This lecture is Part 3 of the Full Stack Lecture Series and is designed to help you master the latest server technology and Docker technology. This lecture is designed to help you practically incorporate Docker into your tech stack by meticulously testing various Docker options, learning related technologies such as Linux that are necessary for understanding Docker, and even building complex services.

Master advanced SQL, solve 101 practical data analysis problems at a professional level together, and build a solid SQL data analysis skillset.

This is a full-stack series course aimed at beginners, with the goal of developing web and app services capable of actual commercialization, based on experience developing real web services in the field. As the first step (part 1-1) towards this, it is a course that explains in detail intermediate Python for full-scale development, backend implementation technology using Flask, and essential web technologies (HTTP, RestAPI, MVC pattern).

This is Part 1 of a roadmap lecture that neatly organizes the core computer science (CS) knowledge essential for excelling in development and data, all in a short amount of time. This lecture has been used as internal training at top Korean companies for many years. Based on 20 years of real-world industry experience, spanning from system SW to web, app development, and data science, this lecture organizes the core essentials necessary for excelling in development and data step-by-step, in a standard yet easily understandable way.

This is a full-stack lecture series based on real-world web service development experience, aiming to help beginners develop web and app services to a level suitable for actual commercialization. As Part 2 of this series, this lecture thoroughly and solidly covers the latest HTML5, CSS3, vanilla Javascript + ES6, considering responsiveness and compatibility within the diverse landscape of frontend technologies.

This course is a complete course that will help you learn Flutter step by step, from the basics of Dart programming to basic and intermediate Flutter functions, and even linking the backend Firebase to actual projects!

Through this course, you will learn to understand SQL and databases, SQL grammar, database design for practical use, database use through programming, and data analysis use cases.

mongoDB, NoSQL You hear a lot these days, but is it still an unfamiliar database? Aren't you using it like a relational database (RDS/SQL)? No matter how good the technology is, if it's not used correctly, it will have the opposite effect. That's why we often see cases of failure in using MongoDB. This lecture will teach you everything from basic concepts to practical know-how so that you can use MongoDB as MongoDB-like as possible.

You will learn the basics and advanced usage of GraphQL, the next-generation API control technology, and gain real-world project experience through a virtual kiosk service created with GraphQL. The course has been partially updated to the latest version, apollo-server v4, as of February 2024.

If you work with data, SQL is a fundamental skill you must know. In this course, we will learn SQL from a data analysis perspective, focusing on hands-on practice. The practice will be conducted in Google Colab using DuckDB.

This course is designed to cover the grammar of multi-threading, multi-processing, parallelism, and concurrency based on OS knowledge in preparation for technical interviews. You will learn basic knowledge about how to increase execution efficiency with multiple resources.

Online bootcamp in Jeju! Create your own service quickly! :)

We're back with massively upgraded content and a completely transformed lecture.

The best introductory programming course that has already been taken and enjoyed by over 20,000 people. This introductory programming course was planned and prepared by Inflearn from the perspective of a non-major, and helps people who have never touched programming before to develop programming skills that can be used in real life.

Do you have data but are unsure how to read and process it in Python? Don't worry. You can process it with the magic of Pandas. Pandas is the most powerful, efficient, and useful data processing library. Skill up your data preprocessing with Pandas! Gain great insights!

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

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.

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.

Python with easy and intuitive grammar! Learn Python, which is famous as an introductory programming language, from the basics to practice! In this course, you will learn data structures (stacks, queues, tuples, sets, dictionaries, strings, collections module).

★PYTHON★ This is a basic lecture on server development using Fast API. Learn how to develop servers easily, quickly, and conveniently using various packages such as Fast API, SQLAlchemy, Pydantic, and Starlette! Don't worry, we have prepared a DB backup file as well as integration with PostgreSQL! We will teach you the "basics" of UI design using Dash and Plotly and provide the source code used in the lecture :)

Knowledge Graph-Based RAG System in Neo4J: Next-Generation Search Leveraging Data Relationships Beyond Simple Vector Search Maximize RAG Performance using Graph DB Power!

This course is redesigned, unlike existing courses, to help you easily understand machine learning and apply it to real-world problems, based on the instructor's own failures when they first learned machine learning.

We will make sure you understand the principles first!

You will learn how to analyze and quickly visualize various types of data using the Python Streamlit library and output it as a web service. You can use it when you want to apply it to your work faster than the existing web development method.

Solve coding test problems using Python.

We will explain ElasticSearch, LogStash, and Kibana from the basics. In the final step, you will find yourself using the ELK stack to analyze world population and stocks.