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[Udemy] 230+ Exercises – Python for Data Science – NumPy + Pandas

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Deal Score0
100% OFF Get Course

What you’ll learn

  • remedy over 230 workouts in NumPy and Pandas
  • cope with actual programming issues in knowledge science
  • work with documentation and Stack Overflow
  • assured teacher assist

Requirements

  • completion of all programs within the Python Developer studying path
  • primary information of NumPy and Pandas
  • I’ve programs which may help in acquiring all the required expertise for this course

Description

Welcome to the 230+ Exercises – Python for Data Science – NumPy + Pandas course the place you’ll be able to check your Python programming expertise in knowledge science, particularly in NumPy and Pandas.

Some numpy subjects you’ll discover within the workouts:

  • working with numpy arrays
  • producing numpy arrays
  • producing numpy arrays with random values
  • iterating by means of arrays
  • coping with lacking values
  • working with matrices
  • studying/writing information
  • becoming a member of arrays
  • reshaping arrays
  • computing primary array statistics
  • sorting arrays
  • filtering arrays
  • picture as an array
  • linear algebra
  • matrix multiplication
  • determinant of the matrix
  • eigenvalues and eignevectors
  • inverse matrix
  • shuffling arrays
  • working with polynomials
  • working with dates
  • working with strings in array
  • fixing methods of equations

Some pandas subjects you’ll discover within the workouts:

  • working with Collection
  • working with DatetimeIndex
  • working with DataFrames
  • studying/writing information
  • working with totally different knowledge sorts in DataFrames
  • working with indexes
  • working with lacking values
  • filtering knowledge
  • sorting knowledge
  • grouping knowledge
  • mapping columns
  • computing correlation
  • concatenating DataFrames
  • calculating cumulative statistics
  • working with duplicate values
  • getting ready knowledge to machine studying fashions
  • dummy encoding
  • working with csv and json filles
  • merging DataFrames
  • pivot tables

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

This can be a nice check for people who find themselves studying the Python language and knowledge science and are wanting for new challenges. Exercises are additionally an excellent check earlier than the interview. Many fashionable subjects had been coated on this course.

For those who’re questioning if it is value taking a step in the direction of Python, do not hesitate any longer and take the problem right now.

Who this course is for:

  • everybody who desires to study by doing
  • everybody who desires to enhance Python programming expertise
  • everybody who desires to enhance knowledge science expertise
  • everybody who desires to organize for an interview

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