Published | 2022-04-26 |

Platform | Udemy |

Subjects |

*Double pack! Improve your Python programming and data science skills and solve over 230 exercises in NumPy and Pandas!*

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*arraysgenerating

*numpy*arraysgenerating

*numpy*arrays with random valuesiterating 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.