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    100% Discount || 230+ Exercises – Python for Data Science – NumPy + Pandas

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

    Requirements
    completed course ‘200+ Exercises – Programming in Python – from A to Z’
    completed course ‘210+ Exercises – Python Standard Libraries – from A to Z’
    completed course ‘150+ Exercises – Object Oriented Programming in Python – OOP’
    basic knowledge of NumPy and 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.

    Who this course is for:
    everyone who wants to learn by doing
    everyone who wants to improve Python programming skills
    everyone who wants to improve data science skills
    everyone who wants to prepare for an interview


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