How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

This is a Chrome Developer Tools tutorial for front-end developers. It covers various features and tips that are useful when developing.

Even beginners of Github can do it! Even beginners of Python can do it! Create a crawling web service that performs periodic crawling using Github Action.

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!)

No more toy projects! We're revealing all the secrets to building a secure authentication system with JWT and Redis, actually used by developers in the field.

Python Basecamp is a course for beginners who want to learn the basic concepts of Python. Improve your skills through basic concepts and practical examples.

Learn the fundamentals of the web, networks, and HTTP that every developer should know, in a code-based, real-world, data-driven way.

Say goodbye to complicated collaboration tools! 👋 From Markdown to databases, the essential skills of a workaholic can be done with Notion 🚀

Generative AI for Designers🧙‍♂️ We reveal practical know-how to maximize design work efficiency with generative AI like Canva and Midjourney.

This is a basic course on Python Excel programming that you can learn with the xlsxwriter tutorial. You can analyze data and automate tasks using Python and Excel.

If you want to create a web page, learn HTML/CSS. You can implement various contents and designs with HTML, which defines the structure of the web page, and CSS, which defines the style of the web page.

Essential for web development! Learn JavaScript, a popular language widely used in various fields, with fundamental concepts and practical examples!

King Basic🐥, only for those who say they have no more words to describe me.👂 Concepts go to the universe🚀, King Basic practice day and night✍, learn SQL with your hands!✋ No installation required.🔥 Here is the lecture restaurant, Jecobe!🎉

This lecture is for those who have no knowledge of artificial intelligence, machine learning, deep learning, or data analysis but would like to experience it. I will explain the entire process.

This course will help you learn the basic grammar and concepts of Python and serve as a stepping stone to build a solid foundation before moving on to more advanced courses.

Let's learn about information security and hacking techniques in a broad and detailed way!

Let's create a Jeju Olleum map guide service using public data and Folium! It's not a service that only I can see, but a service that others can access! It's not a portfolio that I have as a file, but a service that others can access!

Would you like to experience web server development? We will help both non-majors and front-end developers take their first step into server development. Let's efficiently explore servers and databases using familiar JavaScript syntax all at once, and understand servers!

Learn the basic concepts of Three.js and apply them to carry out a mini project called 'Building My Own Island'. You can learn Three.js easily and lightly while carrying out the project.

Are you a front-end developer and have you ever felt disappointed because you couldn't implement a login function? Have you ever wanted to implement a function that saves and loads data using a DB, but found it burdensome to study queries? With Firebase, it's easy! Let's implement essential functions for web development, such as user authentication, data storage, and hosting, with the power of React and Firebase! (This lecture was recorded in August 22 and reflects the major update of Firebase.)

When you use Pandas for data analysis, preprocessing, machine learning, and deep learning, you tend to use only the functions you use frequently. There is a Pandas Cheat Sheet that collects and organizes only these essential contents. For those who get tired of learning Pandas from a thick book, we will teach you Python Pandas with just two pages of documents. Learn the core functions of Pandas with the cheat sheet provided in the official Pandas tutorial.

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.

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

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.

In this class, you will learn about the principles and methods of analyzing and processing various types of financial data using Python's Pandas library, apply them to situations you may encounter in the real world, and ultimately learn how to implement backtesting based on financial statement data (based on Kang Hwan-guk's book, "You Can Do Quant Investment"). As a result, you can break away from being a "passive investor" who simply follows what others say without verifying or basing the investment logic, and become a "self-directed and active investor" who can freely extract various elements necessary for strategy implementation from data and quantitatively analyze them using Python and Pandas.

Introductory lecture on recommendation systems by Datalian, who has over 10,000 cumulative students and rich online/offline lecture experience. Learn the basic theory of recommendation systems and practice movie data analysis together.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

Make AI data analysis and modeling results into a Web Program.

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

Learn how to collect data from the web and create a supervised learning model for machine learning!