Data Analysis in Python using Pandas and Numpy培训

课程编码

datapyth

课程时长

14 小时 通常来说是2天,包括中间休息。

要求

Basic Python and data analysis skills

课程概览

Pandas是一个Python包,它提供了用于处理结构化(表格式,多维,可能异构)和时间序列数据的数据结构。

Machine Translated

课程大纲

Day 1

Data Analysis with pandas

  • Using vectorized data in pandas

  • Data wrangling

  • Sorting and filtering data

  • Aggregate operations

  • Analyzing time series

Data visualisation

  • Plotting diagrams with matplotlib

  • Using matplotlib from within pandas

  • Creating quality diagrams

  • Visualizing data in Jupyter notebooks

  • Other visualization libraries in Python

 

Day 2

Vectorizing Data in Numpy

  • Creating Numpy arrays

  • Common operations on matrices

  • Using ufuncs

  • Views and broadcasting on Numpy arrays

  • Optimizing performance by avoiding loops

  • Optimizing performance with cProfile

Other Python libraries for data analysis

  • scikit-learn

  • Scipy

  • statsmodel

  • RPy2

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