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