Inflearn - Lifetime Career Platform

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

For those who have difficulty with Excel, we deliver only the essentials that you need to know in the shortest time possible. And, the effect of killing two birds with one stone until obtaining a certificate. Take this opportunity to gain Excel practice and a certificate. Unlike other OA programs, Excel has many complicated parts in terms of functions and utilization. Based on the know-how accumulated through long lectures, we only cover the essentials of Excel. In relation to practical use, you can improve your Excel practical skills in a short period of time and obtain the ITQ Excel certificate, which is highly useful in practice, at the same time.

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!

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.

This course covers data analysis using ChatGPT and Pandas utilization. Get a preview of the changed future ChatGPT will create.

This lecture is a follow-up lecture to 'Python Data-Based Stock Quant Investment Part 1'. If Part 1 was more of an introduction, Part 2 is an in-depth lecture that focuses on the entire flow of practical strategy implementation and quantitative investment development. This class focuses on advanced Pandas techniques for handling time series data, and how to implement signal-based strategies and static/dynamic asset allocation strategies that require adjusting asset weights at various intervals based on this. Furthermore, it goes beyond strategy implementation and learns about 'code framework' that directly verifies and backtests various investment strategies with minimal code modifications, how to extend this to improve it so that it can lead to actual investment, and what to watch out for in this process. In addition to the programming component, you can experience the best Python quant investment flow that you cannot find in investment books, blogs, YouTube, etc. by deeply covering theoretical contents such as the two types of return concepts (simple return, log return) and evaluation indicators related to backtesting.

King Basic🐥, only for those who say they have no more words to describe me.👂 Concepts go to the universe🚀, King Basic practice day and night✍, learn SQL with your hands!✋ No installation required.🔥 Here is the lecture restaurant, Jecobe!🎉

Learn NoSQL technology for handling big data, one of the fundamental technologies used in the full-stack and data science fields at modern startups. MongoDB is one of the easiest NoSQL technologies to learn and use quickly. In this course, you will learn the basics of MongoDB in a short time, as well as how to work with and utilize MongoDB using Python.

This is an introductory BigQuery (SQL) course for beginners. I recommend it to those who are curious about how to process data. I will teach SQL from the perspective of data analysis and data engineering, rather than from a backend development perspective.

This course will teach you how to use Excel Pivot Tables to quickly and easily analyze data and create dynamic automated reports in your daily life and practice. Pivot Tables are easy and powerful. Through this course, you can begin the process of solving problems through data analysis.

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

Gain insights from DataOven CEO Ha Yongho, a first-generation data analyst who has demonstrated numerous insights and successes. This is a meetup video for data professionals, held on July 18, 2024.

How can data be leveraged in side projects? Hear the stories of 'Geumim' and 'Skull' at this seminar!

This is a lecture on data visualization using the Matplotlib library.

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!

Let's learn together about Columnar Storage, which allows you to conveniently handle both structured and unstructured data provided by GCP and allows for a free table format, and BigQuery, a universal database.

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.

Let's understand data analysis tailored for advanced retail businesses and learn how to use the tools utilized in the industry!

Train your SQL querying skills through 50 diverse problems and prepare for real-world analysis environments and coding tests. * If you are new to SQL, it is recommended to take the SQL [Concepts Class] first to follow along smoothly.

This is a theory-and-practice QGIS course that covers everything from analysis basics to advanced functions and visualization techniques. Start your QGIS journey with this unprecedented all-in-one course!!