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:
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working with numpy arrays
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generating numpy arrays
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generating numpy arrays with random values
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iterating through arrays
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dealing with missing values
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working with matrices
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reading/writing files
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joining arrays
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reshaping arrays
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computing basic array statistics
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sorting arrays
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filtering arrays
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image as an array
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linear algebra
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matrix multiplication
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determinant of the matrix
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eigenvalues and eignevectors
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inverse matrix
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shuffling arrays
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working with polynomials
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working with dates
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working with strings in array
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solving systems of equations
Some pandas topics you will find in the exercises:
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working with Series
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working with DatetimeIndex
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working with DataFrames
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reading/writing files
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working with different data types in DataFrames
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working with indexes
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working with missing values
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filtering data
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sorting data
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grouping data
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mapping columns
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computing correlation
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concatenating DataFrames
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calculating cumulative statistics
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working with duplicate values
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preparing data to machine learning models
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dummy encoding
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working with csv and json filles
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merging DataFrames
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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.
