비전공자를 위한 수학 통계 기초(실습)

Understand the structure of the network framework provided by Unreal Engine. Understand what servers, clients, replication, and RPCs are and how they work. You can create network games using the Unreal Framework.

Learn how to use deep learning with Python and Keras.

The language that uses the Unity engine is C#. The lecture content mainly covers frequently used functions in Unity, including data types and conversion, object orientation and generalization, and even simple file input/output!

Establish your own job search strategy based on recruitment trends and job analysis. A to Z job search preparation from self-introduction to interview

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!

We will explain the basic structure of what Linux is, learn how to handle the shell, and learn to gain a basic understanding of Linux networks.

Python Programming for Non-Majors

Do you need art work for 3D printing or interior design and games? Create realistic 3D graphic design works with Blender Basics course.

You can learn about the basic structure and operating principles of computer hardware, design methods, and OS, and acquire the knowledge necessary to create good programs.

It lays the foundation for basic data analysis, including understanding R and data, data processing methods for data analysis, and data visualization methods. You will learn how to conveniently process data into the shape you want by utilizing variables, functions, and packages.

This lecture will teach you how to systematically analyze and organize the core functions and conditions of software, and explain the theoretical background of its relationship with testing for finding and improving bugs based on this.

To create VR/AR content using the Unity engine, you must learn C#, and to learn C#, you must learn the C language. This course covers everything from the basics of the C language to memory management.

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!

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

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

Finally, a probability and statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice.

Create your own indicators using Python and create tools to conveniently analyze securities!

Do you want to create a tool that can help you with your real-world investments using Python? In this course, you will learn how to create an interactive web dashboard for financial data analysis for intermediate Python users and learn about pair trading strategies for in-depth quantitative work. We hope that you will be able to create your own useful analysis tools to help you analyze financial data more powerfully and make wise investment decisions.

Revolutionize your stock investing with AI! In this lecture, you will directly build a real working AI automated trading system targeting the top 25 Nasdaq stocks. We provide a special opportunity to gain experience and know-how through mock investing using the Korea Investment & Securities API, and then perform AI stock automated trading with a real account. Even stock beginners are welcome. We will easily explain the basic concepts of stocks and why you should invest in US stocks, and provide all source code and remote support. From now on, investing is essential in the next 60 years of our lives. Build your own AI investment partner that will be with you!

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.

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.

Now display Python results as web pages! You can create your own web page using only Python. This is an opportunity to create an Interactive Dashboard that allows you to check results created with Python, such as data analysis and machine learning, on a web page!

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.

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.

Create AI data analysis and modeling results into a web program.

This is a lecture where you easily learn important mathematical concepts used in games. People who know math well take that knowledge for granted, so they cannot teach under the assumption that you know nothing. I will explain from a beginner's perspective, truly treating you as someone with no prior knowledge.

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.

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.

Utilizing Python's basic grammar and popular libraries Automatically generate Python grammar and library code using ChatGPT

You will learn NoSQL technology, one of the basic technologies of full stack and data science technology used in the latest startups, which can handle big data. MongoDB is the easiest and fastest NoSQL technology to use. In this lecture, you will learn the basics of MongoDB in a short period of time and learn how to use MongoDB with Python.

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.

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.