자격취득과 실무! 한 방에 경영정보시각화(필기)

This lecture aims to systematically learn the essential core concepts and functions absolutely necessary for the Business Information Visualization Practical Exam (Tableau), based on the exam guidelines of the organizing institution. It is structured around practical exercises so that you can freely use the functions frequently tested in the actual exam, and through solving mock exam problems of types A and B, you can improve your understanding of the exam types and your problem-solving skills together. Lecture plan and materials can be checked at https://github.com/hansikyung/Tableau_OneTime.

The "Pytorch Projects Explained in One Code" edition implements practical deep learning projects using image, video, and natural language data. It focuses on code-centered learning rather than theory, to understand the structure and flow of models.

"PyTorch in Code: The Fundamentals" is the perfect guide for anyone who wants to implement deep learning models using PyTorch, from deep learning beginners to developers looking for practical applications. Through 19 systematic lectures, you can perfectly master the core of deep learning, from PyTorch basics, deep learning algorithm implementation, overfitting problem solving, and CNN, RNN, and GAN models.

Get to the core of Python syntax with this quick guide!! Recommended for those who want to quickly learn the essentials, such as data types, conditional statements, loops, and functions; those who want to explore Pythonic syntax in a short amount of time; and those working professionals, job seekers, and non-majors who want to master Python in a short period.

This lecture aims to systematically learn the essential core concepts and functions absolutely necessary for the Business Information Visualization Practical Exam (Tableau), based on the exam guidelines of the organizing institution. It is structured around practical exercises so that you can freely use the functions frequently tested in the actual exam, and through solving mock exam problems of types A and B, you can improve your understanding of the exam types and your problem-solving skills together. Lecture plan and materials can be checked at https://github.com/hansikyung/Tableau_OneTime.

Understanding and utilizing time series data analysis and correlation analysis! Easy and fast completion with Orange, an AI analysis tool without coding!

SQLD, where do I even begin? A course for those who feel completely lost; you'll meet a transformed self after finishing the course. SQLD All-in-One Pass!

Data preprocessing + data visualization + dashboard planning = data-based problem solving

Providing content on core data concepts, relational data in Azure, non-relational data in Azure, and analytical workloads in Azure, combining theory and practice, this offers a meaningful educational opportunity to not only obtain certification but also take the first step towards becoming a data professional.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.

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.

SQLD, where should I start? This course is for you who feel so overwhelmed; you'll meet a changed you after completing it. SQLD All-in-One Pass!

Let's look at the definition of big data, how to use it, and examples from each industry to achieve corporate IT technology advancement and new business creation!

Through this lecture, participants can improve their Go reading ability and apply it when playing real Go.

Learn how to process big data from a Silicon Valley software engineer & how to develop big data code with Apache Spark using Python. I am a 14-year software developer who handles everything from web applications to big data and SRE & DevOps with Python. Don't miss this opportunity to learn about Apache Spark, which is essential for big data professionals, in an easy and in-depth way using Python!

Time series lecture to become a data analysis expert! Let's become an analyst strong in theory and practice!

Contains the growth history and know-how of portal company N, which achieved rapid growth through cloud services.

Learn the ADsP certification passing strategy and learn the memorization subjects in summary. Don't hesitate any longer and challenge yourself for the ADsP certification!

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.

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

SSIS, SSAS, MachineLearning, BI, ETL. You can learn important technologies that cannot be found in domestic books, YouTube, lectures, blogs, and academies. I also recommend it to those who are interested in employment at domestic large companies, American large companies, and American state funding agencies.

This is a practical project lecture that collects data and analyzes big data using Arduino and wind sensors.

It improves logical thinking skills, develops an understanding of how to use programming tools, and develops the ability to design algorithms for problem solving.