Inflearn - Lifetime Career Platform

What is Kaggle? Every year, Kaggle conducts a survey of users around the world. When you want to learn data science, you may have many questions. Is it too late to start? Which language should I choose between Python and R? How much is the salary? Find out by reading the responses from users around the world! With just a few powerful features of Pandas, you can perform frequency analysis and data visualization.

This is a course for beginners in stock data analysis. Get started with stock data analysis using Python!

Let's understand data analysis methods using Python, analyze and visualize various types of data on our own, and organize a data story outline!

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

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

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.

Wake up your sleeping coding brain. From Python basics to machine learning, all in one book! Based on MIT lectures, this computer science introductory book is accessible even for beginners with no prior knowledge of programming. Wake up your dormant coding brain with essential introductory topics such as computational thinking and simple algorithms. Through the "Finger Exercise" problems provided in each chapter, you will explore practical subjects like data visualization, simulation, data calculation techniques, and machine learning.

For those who are new to machine learning, we will provide a clear understanding of the direction of study and basic concepts.

This course introduces Pandas commands useful in data science practice in a short lecture format. You can view and download all the codes used in the course directly from GitHub and practice them.

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

Analyze in an environment like Excel and automatically create Python code. This lecture will help you understand data analysis by comparing it to Pandas and Seaborn.

Son Heung-min's 100th goal project! Practical crawling & data analysis of Transfermarkt