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230+ Exercises – Python for Data Science – NumPy + Pandas


Welcome to the 230+ Exercises – Python for Data Science – NumPy + Pandas course the place you possibly can take a look at your Python programming abilities in information science, particularly in NumPy and Pandas.

Some numpy subjects one can find within the workout routines:

Some pandas subjects one can find within the workout routines:

  • working with Collection

  • working with DatetimeIndex

  • working with DataFrames

  • studying/writing recordsdata

  • working with completely different information varieties in DataFrames

  • working with indexes

  • working with lacking values

  • filtering information

  • sorting information

  • grouping information

  • mapping columns

  • computing correlation

  • concatenating DataFrames

  • calculating cumulative statistics

  • working with duplicate values

  • making ready information to machine studying fashions

  • dummy encoding

  • working with csv and json filles

  • merging DataFrames

  • pivot tables

The course is designed for individuals who have fundamental information in Python, NumPy and Pandas. It consists of 230 workout routines with options.

This can be a nice take a look at for people who find themselves studying the Python language and information science and are wanting for new challenges. Exercises are additionally a superb take a look at earlier than the interview. Many in style subjects have been lined on this course.

In case you’re questioning if it is price taking a step in direction of Python, do not hesitate any longer and take the problem right now.



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