Inflearn - The Largest AI, AX, and Security Learning Platform

This is not an investment lecture. It covers data collection, analysis, and visualization using stock market data. You will work with various data formats and learn various text preprocessing techniques. It covers visualization techniques for time-series data, methods for representing scales, and several techniques for interpreting stock price data. This course is about learning how to gain insights through data analysis. It is designed so that the concepts learned through stock price data can be applied to collecting, analyzing, and visualizing other time-series data such as demand, inventory, sales, and traffic volume.

This course is for PMs who want to make use of data. It covers every step of using data in a PM role, capturing the full flow of the work—from your first day at a new job through the start and completion of a project. It covers everything from data-driven and logical thinking to defining metrics, designing event logs and experiments, and building a data culture. It’s an introductory course on data designed to help you develop your ability to think. Although the course was created for PMs, it also covers topics that data analysts will find useful (and many analysts have actually taken it!). Many people in marketing, design, and business planning roles have taken the course as well.

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

When using Pandas for data analysis, preprocessing, machine learning, and deep learning, we often find ourselves relying on the same core functions. There is a Pandas Cheat Sheet that compiles only these essential features. For those who have grown tired of trying to learn Pandas through thick books, this two-page document will teach you Python Pandas. Master the core functions of Pandas using the cheat sheet provided by the official Pandas tutorial.

We’ll guide non-majors and beginners to quickly earn the Big Data Analysis Engineer practical certification! Keep the theory light and the practical training solid. Even without complex background knowledge, you’ll focus on past exam questions and study only the key points that are sure to appear on the test.

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.

Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.

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

It's not hard to create a resume with Notion. With a friendly guide, you can create a resume that you can complete from start to finish while sitting down!

Learn about the basics of Python required for data analysis, the data analysis framework (pandas), and the data analysis process.

This is a detailed and practical course for beginners to Google Analytics. Rather than covering isolated features, it guides you through scenario-based analyses so you can learn the practical process of conducting analysis with GA4. It is continuously updated to reflect the latest changes to GA4!

For learners struggling with large-scale data analysis and slow queries, I provide practical, hands-on guidance from design through tuning.

The Scala course provides essential skills and knowledge for professionals working in the fields of big data and data science, offering an excellent opportunity to learn efficient data processing and analysis methods through Scala's powerful programming language capabilities. Scala is widely used in big data processing tools like Apache Spark, and through this course, participants will be able to acquire advanced skills required in the big data ecosystem, thereby enhancing their competitiveness. For developers and data scientists who want to build a successful career in a data-centric world, this course will be a crucial learning opportunity not to be missed.

Through this course, you will learn about SQL and databases, SQL syntax, database design for practical use, how to use databases through programming, and real-world applications of data analysis.

We conduct app log analysis using data from Google Analytics 4 and Firebase. It includes useful content for practical use, such as arrays, window functions, funnels, retention, Google Sheets, and more.

This is a basic/introductory course on digital marketing. It covers how to design digital marketing based on data and various practical cases. It contains stories and content that I want to share from my 14 years of experience in various fields of marketing, from digital marketing agencies to in-house marketers at large corporations. It is recommended for those who want to understand digital marketing in general.

There was a rumor that Ediya Coffee always opens its stores near Starbucks. How much of a difference is there really between the store locations of Ediya and Starbucks? Will the real estate price fluctuation trends from 2013 to 2019 be reflected in apartment pre-sale prices as well? What kind of parks are in my neighborhood? How can we best utilize the data available on the Public Data Portal? The goal is to become familiar with Python and various data analysis libraries by working with different types of data through public data.

This is a course to learn about Airflow, an Orchestration tool for efficiently building and managing data pipelines. Welcome to the Airflow Master Class, where even beginners can learn step-by-step!

If you want to be recognized as a machine learning expert in large-scale data environments—from understanding the core framework of Spark Machine Learning to SQL-based data processing through high-difficulty practical problems, and the ability to implement optimized machine learning models through business domain analysis—join this course.

This is a live meetup video for data professionals with knowledge sharer Naheon Kim :)