Python and Statistics for Data Science Beginners

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

Let's build the skills to develop web applications using React and cultivate the capability to apply them in practice!

Java Programming Based on Object-Oriented Concepts for Computer Science Majors

Basic manners, etiquette, and communication skills training to foster global leaders leading the era of the Fourth Industrial Revolution.

Let's understand the major algorithms of machine learning and deep learning, and get to know artificial intelligence!

Experience text-based coding through block coding and let's control an Arduino!

Let's learn various data structures and algorithms and develop practical skills by implementing them through programming!

Let's design, implement, and develop while learning the basic and object-oriented concepts of the C++ language!

Modern C++ Programming based on Object-Oriented Concepts for Computer Science Majors

Let's use the R language, which processes data easily and conveniently, to help even non-computer science majors develop their skills in utilizing computer programs related to their own fields!

It improves logical thinking skills and cultivates the capacity to converge one's major with information and communication technology in the era of the Fourth Industrial Revolution.

Are you a digital talent interested in the Internet of Things (IoT)? Let's get started with IoT through Arduino!

Let's acquire the Python coding skills necessary for artificial intelligence by learning the basics of the Python programming language!

Let's look into how to deploy Abyss for non-majors!

Are you a digital talent interested in coding and the Internet of Things (IoT)? Start your journey into programming with MicroPython!

Let's understand machine learning and deep learning model algorithms by using Keras!

Let's develop data-driven administrative practical skills to empirically solve administrative and policy problems by analyzing public data with R and Python!

Let's develop basic field knowledge of clothing studies and the skills of a fashion specialist through an understanding of AI-based textile CAD!

Are you a digital talent interested in coding and development? Get started with programming through p5.js & ml5.js!

Let's become creators using ChatGPT and generative AI!

This course is for those who need to introduce data analysis, machine learning, AI, etc. to their work but are not familiar with Python programming. You will systematically learn the core functions of Python required to become a data scientist in a short period of time.

This covers basic usage and data preprocessing methods for Python beginners and non-developers. As an appendix, it also teaches preprocessing methods using the ChatGPT Code Interpreter.

Build data-driven investment strategies with Python quant investing and put them into practice. You can implement various asset allocation strategies and ultimately create your own unique investment strategy.

Let's build a solid foundation in Python and solve data analysis problems!

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.

This is a basic Python course for non-major beginners. Theory textbooks are provided through Wikidocs, and practice materials are provided through Github.

This lecture is designed for job seekers preparing for Evaluation and Analysis roles in Samsung Electronics' DS Division (Memory, S.LSI, Foundry, TSP, AVP) and PE, AE, and Solution PE roles at SK hynix, who are struggling with the differences between business units and job functions. You will learn how to categorize job titles by company based on the actual workflow of Product Evaluation roles and how to translate your major-related experiences into professional terminology suitable for resumes and interviews. We will help you establish an application strategy by connecting experiences in Analog circuit design, Verilog/FPGA, process experiments, and data analysis with key industry terms such as Yield, Wafer Map, Shmoo Plot, and Failure Analysis.

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.

This is a basic Python Excel programming course learned through an xlsxwriter tutorial. You can analyze data and automate tasks using Python and Excel.

A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.

You can use Python to analyze large amounts of data and visualize the analyzed data in graph form so that you can easily understand it at a glance.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

Creating your own data analysis portfolio with Google Antigravity CLI harness engineering and vibe coding: data collection, analysis, reporting, dashboard creation, and task automation. Even if you are new to data collection, once you master the principles, prompt engineering, and how to use Antigravity, you can perform data collection, analysis, visualization, reporting, and dashboard creation just like a data analyst. From Python data collection to report writing learned with Antigravity IDE and CLI. Prompt writing and error resolution methods for foolproof data collection and analysis.

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

Anyone can easily create a Python game using the Pygame library, starting from zero base.

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.

Understand the essence of data visualization as a balance between scientific accuracy and aesthetic expression, and systematically learn everything from color and symbology principles to graph design. By utilizing visual attributes based on cognitive science principles, you will complete your data communication skills to achieve reliability and persuasiveness in professional practice.

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

Learn Python coding. Learn design scripting with Rhino3d Grasshopper. Learn creative coding such as computational thinking, parametric, and generative design.