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

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


    • 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


    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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