Intermediate Pandas Python Library for Data Science

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Neste projeto guiado, você irá:

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
IntermediateIntermediário
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

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. By the end of this project, you will learn how to handle structured data using pandas, like a pro. 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.

Habilidades que você desenvolverá

Data SciencePython ProgrammingData AnalysisPandasNumpy

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  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.

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

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