학생용

Intermediate Pandas Python Library for Data Science

4.4
별점
127개의 평가
제공자:
Coursera Project Network
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학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Learn the advanced methods to handle missing values.

Learn how to sort, select and slice data for easier manipulation.

Learn about different types of joins, sorting and binning data.

Clock2 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

Note : Pandas is not used for development. So you will not build anything during the course of this project. This guided project is for those who are familiar with pandas for data analysis, but want to really harness the power of pandas by learning more complex operations. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Features: 1) Work with real-world data. 2) Detailed variable description booklet provided. 3) This project provides plenty of challenges with solutions to encourage you to practice using pandas. 4) Libraries are automatically imported and the dataset is automatically split into subsets, each time you begin a new session. Just open the project and start learning! 5) The real-world applications of each function are explained. 6) Best practices and tips are provided to ensure that you learn how to use pandas efficiently. 7) Animated gifs are used to aid in the learning process. 8) Important terminology and definitions are explained. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

개발할 기술

Data SciencePython ProgrammingData AnalysisPandasNumpy

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Splitting of data into subsets.

  2. Imputation and interpolation of missing values.

  3. Sorting by columns and ranges.

  4. Selecting and slicing data.

  5. Joining, Concatenation & Advanced Joins

  6. Grouping, calculation of aggregate and binning.

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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INTERMEDIATE PANDAS PYTHON LIBRARY FOR DATA SCIENCE의 최상위 리뷰

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