시계열 분석과 예측

You will learn how to develop data/machine learning web applications through 5 practical projects. You can easily and quickly build and deploy web applications with Python and Streamlit. (Updated in June 2025)

ADsP Certificate All-In-One! Fast Completion!

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!

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.

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.

Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!

Anyone who likes math, raise your hand! Anyone who wants to learn probability and statistics, raise your hand!

The entire data analysis process is made easier to approach using chatGPT and generative AI. You can learn how to use AI in data science practice while understanding the data analysis process more easily.

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>.

"Still studying with coding books?" A lecture that received a perfect 5.0 rating from MBA graduate students and business undergraduate students at a current London Business School. You can take AI data analysis lectures from home. Even non-majors from liberal arts backgrounds can acquire practical data analysis skills immediately applicable in the field, along with a data analysis portfolio to complete their job search. I am a British Professor who teaches data analysis and project classes using ChatGPT, even without coding knowledge.

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!

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.

Let's use the R language, which processes data easily and conveniently, to develop computer program utilization skills related to one's major, even for non-computer majors!

This lecture is a data analysis lecture based on the book 'Study R Data Analysis on Your Own'.

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.

🧩 Rather than complex formulas or theory-focused explanations, the goal is to learn the core concepts of recommendation systems by directly implementing programs. 🛠️ Across 12 diverse, practical examples, we incrementally built recommendation systems for real-world use, covering content-based, collaborative filtering, and deep learning methods.

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.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

Let's develop specialized skills in programming skills, algorithm skills, and statistical analysis skills!

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

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.

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.

Ace the Big Data Analysis Engineer certification, a must-have credential that's far from easy to self-study, in a short amount of time by mastering the data analysis tool R, known for its ease of use!

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.