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
•computing basic array statistics
•image as an array
•determinant of the matrix
•eigenvalues and eignevectors
•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
•working with different data types in DataFrames
•working with indexes
•working with missing values
•calculating cumulative statistics
•working with duplicate values
•preparing data to machine learning models
•working with csv and json filles
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.