Pandas provides tools for working with tabular data, i.e. data that is organized into tables that have rows and columns. Tabular data has a lot of the same functionality as SQL or Excel, but Pandas adds the power of Python.
After learning Pandas, you’ll be able to ingest, clean, and aggregate large quantities of data, and then use that data with other Python modules like Scipy (for statistical analysis) or Matplotlib (for visualization).
This course will cover how to create Pandas DataFrames, calculate aggregates, and merge multiple tables.Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
The techniques and tools covered in Learn Data Analysis with Pandas are most similar to the requirements found in Analista de datos data science job advertisements.
