Corso di formazione Data Analysis in Python using Pandas and Numpy

Codice del corso

datapyth

Durata

14 ore (generalmente 2 giorni pause incluse)

Requisiti

Basic Python and data analysis skills

Overview

Pandas è un pacchetto Python che fornisce strutture dati per lavorare con dati strutturati (tabulari, multidimensionali, potenzialmente eterogenei) e serie temporali .

Machine Translated

Struttura del corso

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

Recensioni

★★★★★
★★★★★

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