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

Description

Welcome to the 230+ Exercises – Python for Data Science – NumPy + Pandas course where you can test your Python programming skills in data science, specifically in NumPy and Pandas.

Some numpy topics you will find in the exercises:

• working with numpy arrays

• generating numpy arrays

• generating numpy arrays with random values

• iterating through arrays

• dealing with missing values

• working with matrices

• reading/writing files

• joining arrays

• reshaping arrays

• computing basic array statistics

• sorting arrays

• filtering arrays

• image 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

• solving systems of equations

Some pandas topics you will find in the exercises:

• working with Series

• working with DatetimeIndex

• working with DataFrames

• reading/writing files

• working with different data types in DataFrames

• working with indexes

• working with missing values

• filtering data

• sorting data

• grouping data

• mapping columns

• computing correlation

• concatenating DataFrames

• calculating cumulative statistics

• working with duplicate values

• preparing data to machine learning models

• dummy encoding

• working with csv and json filles

• merging DataFrames

• pivot tables

The course is designed for people who have basic knowledge in Python, NumPy and Pandas. It consists of 230 exercises with solutions.

This is a great test for people who are learning the Python language and data science and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.

If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today.