When you use Pandas for data analysis, preprocessing, machine learning, and deep learning, you tend to use only the functions you use frequently. There is a Pandas Cheat Sheet that collects and organizes only these essential contents. For those who get tired of learning Pandas from a thick book, we will teach you Python Pandas with just two pages of documents. Learn the core functions of Pandas with the cheat sheet provided in the official Pandas tutorial.
Key features from the Pandas Cheat Sheet
Python Data Analysis
Data preprocessing for machine learning and deep learning
Data Visualization
Crawling, preprocessing, analyzing, and visualizing the Seoul City COVID-19 site using Pandas
Python Pandas Data Analysis, the essentials all at once!
There is a library called Pandas that allows you to use Excel-like functions in Python.
Pandas is for data analysis and preprocessing.
It is a Python data analysis library.
When doing data analysis, preprocessing, or visualization with Python Pandas, you will mainly use the functions that you use most. And there is a cheat sheet that organizes these core functions into just two pages.
However, if you look at a cheat sheet that only contains such core contents, you may be at a loss as to what content to practice and how to practice it. In this lecture, we will explain only the core contents of the cheat sheet and guide you through how to easily use complex Matplotlib with Pandas. Let's try it together.
data analysis,
Required for ML/DL
I want to do preprocessing
People who do it
Large volume of data
Open it with Excel
The file won't open
Those who were confused
Using Excel
do data analysis
In complex formulas
Tired person
Various in Excel
I implemented the formula, but
It's slow
People who had to work overtime
📣 Check your player knowledge!
One, in the Jupyter notebook
Using docstring
You don't need to memorize all the methods. The functions used are fixed. In this lecture, I will teach you how to practice by searching the official documentation in Jupyter Notebook so that you can learn on your own by looking at the help and documentation.
2. Pandas data visualization
How to do it twice as well!
Do you know which graph is appropriate for which data? In this lecture, we will look at the differences and usage of bar graphs, frequency distribution tables, histograms, and normal distributions. In addition, we will explain various Python visualization methods and options through the official Pandas documentation.
We will analyze the Seoul City COVID-19 Status Site using Pandas from data crawling to preprocessing, analysis, and visualization. You can analyze the content learned in just two documents into a project similar to the actual work . (Section 13)
Knowledge Sharer Park Jo-eun X Inflearn Interview
Who is this course right for?
Anyone who wants to do preprocessing for data analysis, machine learning, and deep learning in Python
If you were confused because a large amount of data could not be loaded when opening it in Excel
Are you tired of Excel's complicated formulas?
If you implemented various formulas in Excel but had to work overtime because the speed was slow
Need to know before starting?
Python
Jupiter Notebook
anaconda
Excel's Row and Column Concept
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네이버 커넥트 재단 부스트코스 데이터사이언스 강의 설계 및 교수자
서울대 빅데이터혁신공유대학, 서울대 평생교육원, 연세대 DX Academy, 한신대 ABC Camp, 한양대 대학원, 전남대,
한국능률협회, IGM세계경영연구원, 삼성SDS 멀티캠퍼스, 멋쟁이사자처럼, 패스트캠퍼스, 모두의연구소, 국립암센터 등 다수의 교육기관 및 기업 강의
다양한 도메인(제약, 통신, 자동차, 커머스, 교육, 정부기관 등)의 기업 데이터 분석
20년이상 게임, 광고, 교육 등 다양한 도메인에서 웹 백엔드 개발자 및 데이터 분석가 현업 경험
📚 도서
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63 lectures ∙ (11hr 10min)
Course Materials:
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170 reviews
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全体的に良い講座でした。私の敬意のパンダスを一人で本として勉強し、この講座をパンダスの繰り返し学習や応用を目的に申請して聞くようになりました。 パンダスチートシートの講座は実際にはあまりありませんでした。パンダスを初めて見たり、Pythonを初めて、あるいは非常に基礎の方の方はあまり役に立ちません。 YouTubeのビデオでは大丈夫ですが、お金を受け取り、講義でSunを少し残念な部分があります。 ソウル市コロナ分析講義は良かった。パンダスを応用してデータをどのように加工して自分が望む形、結果が得られるかを練習することができ、パンダス基礎を勉強した低ローソン非常に便利なパートになりました。 そして、途中で教えてくれるヒントもとても役に立ちました。 shift-tabとか、関数の後？を使ってドゥストリングを見ることができるとか... おそらくこんなにハチミツのヒントでしょう... 一行まとめ：パンダス 初めて始める方々 照らし、パンダスちょっとご存知の方々におすすめです。
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