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Data Science

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Data Analysis

Right now, Polars

This course is designed for beginners, students, and those who want to use Polars, aiming to acquire the necessary skills for data analysis, from basic concepts of the Python-based data analysis library Polars to simple data processing and exploratory data analysis (EDA).

(5.0) 4 reviews

25 learners

Python
python-polars

Reviews from Early Learners

What you will learn!

  • 파이썬

  • Basic Concepts of Polars

  • Series and Data Frame Manipulation Methods

  • Exploratory Data Analysis (EDA) using Polars

Prepared for beginners
[Data Analysis, Development, Programming] This is a lecture.

This course is for intermediate and advanced learners who want to acquire advanced skills required for data analysis, from the basic concepts of Polars, a Python-based data analysis library, to simple data processing and exploratory data analysis (EDA), and for those who want to utilize Polars in various ways.


Polars is a Python library that provides a convenient syntax similar to Pandas and allows you to easily and efficiently perform various tasks related to data science. Polars is a high-performance data analysis library designed to process large data sets in various forms at high speed.

The image below compares the data processing speeds of Polars and Pandas.

Example of creating a Polars data frame

Example of creating a Pandas data frame

Learn things like this!

  • Python

  • Polars Basic Concepts

  • How to manipulate series and data frames

  • Exploratory Data Analysis (EDA) with Polars


I recommend this to these people! Who is the target audience for learning?

  • Anyone who wants to do data analysis using Python

  • Intermediate learners who want to learn Polars quickly

  • Anyone who wants to improve data processing performance

  • For those who feel the performance limitations of Pandas and are looking for an alternative


Player knowledge, is it necessary?

  • Python

  • Pandas Basics

  • Numpy Basics

  • Data Analysis Fundamentals

Students' Concerns & Solutions

  • Improved data processing speed : Polars' faster and more efficient data processing capabilities than Pandas allow you to analyze large amounts of data quickly.

  • Memory Saving : While we faced issues with high memory usage of Pandas, Polars' efficient memory usage minimized memory shortage issues while processing data.

  • Easy data manipulation : Perform complex data frame manipulations and transformations easily using Polars’ intuitive and powerful features.

  • Hands-on learning : Step-by-step exercises allow you to experience and learn Polars’ features first-hand, helping you overcome the fear of new tools.

Changes in students after attending the lecture

  • You can learn the basic usage of polars.

  • Even complex data operations can be performed efficiently.

  • Learn EDA techniques using Polars to quickly discover patterns and insights in your data.



Recommended for
these people

Who is this course right for?

  • For those who want to do data analysis using Python

  • Intermediate learner looking to quickly study Polars

  • Those who want to improve data processing performance

  • For those who feel the performance limitations of Pandas and are looking for alternatives

Need to know before starting?

  • 파이썬

  • Pandas Basics

  • Numpy Basics

  • Basics of Data Analysis

Hello
This is

10,491

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Reviews

2

Answers

4.8

Rating

21

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Curriculum

All

28 lectures ∙ (8hr 13min)

Published: 
Last updated: 

Reviews

All

4 reviews

5.0

4 reviews

  • 김성연님의 프로필 이미지
    김성연

    Reviews 10

    Average Rating 5.0

    5

    21% enrolled

    평소 pandas만 사용하다가 이 강의를 통해 polars를 알게되고 여러가지 장점들이 있어서 polars를 잘 익혀서 잘 적용해봐야겠어요. 추천합니다!

    • 김정현님의 프로필 이미지
      김정현

      Reviews 10

      Average Rating 5.0

      5

      11% enrolled

      데이터 분석을 pandas를 통해 입문한 지 저는 사실 얼마 안되었는데, 또 매번 변하는 것이 트랜드다 보니 polars가 궁금했습니다. pandas와 비교해서 polars의 장점부터 시작해 polars를 배우는 이유부터 차근차근 설명해주어서 수업을 듣는데 동기부여가 되었습니다! 또한 실습 기반의 강의라 실제 데이터를 가공해볼 수 있어서 흥미롭게 수강할 수 있을 것 같습니다.

      • 대롱대롱님의 프로필 이미지
        대롱대롱

        Reviews 18

        Average Rating 5.0

        5

        100% enrolled

        지금까지 Pandas만 사용하고 있었는데 이 강의를 통해 Pandas와 Polars의 차이를 이해할 수 있었어요. 강의가 체계적으로 구성되어 있을 뿐 아니라 실습을 겸하고 있어 Polars의 다양한 기능을 익히기에 유용했습니다. 데이터 처리 성능 향상에 관심 있는 분들에게 추천합니다.

        • 여지은님의 프로필 이미지
          여지은

          Reviews 7

          Average Rating 5.0

          5

          100% enrolled

          데이터 분석가를 꿈꾸는 사람으로서 매우 유익한 강의였습니다. 강의를 통해 pandas뿐만 아니라 다양한 라이브러리를 활용하는 것이 더 효율적인 데이터 분석이라는 생각이 들었습니다. 그리고 타이타닉 데이터를 활용해서 탐색적 데이터 분석(EDA)을 하는 과정이 가장 재밌었습니다 !✨

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