Data Analysis with Python, Pandas, and Numpy Training Course

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Last updated

Course Code

datapyth

Duration

14 hours (usually 2 days including breaks)

Requirements

Basic Python and data analysis skills

Overview

Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.

Course Outline

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

Testimonials

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