250+ Exercises – Data Science Bootcamp in Python – 2023

Paweł Krakowiak

Last Updated on April 9, 2023 by GeeksGod

Welcome to the 250+ Exercises – Data Science Bootcamp in Python course where you can test your Python programming and data science skills. The course consists of 250 exercises (exercises + solutions) in data science with Python. Python can be easy to pick up whether you’re a first time programmer or you’re experienced with other languages. Python is a programming language that lets you work quickly and integrate systems more effectively.

Packages that you will use in the exercises:


Some topics you will find in the exercises:

working with numpy arraysworking with matricesrandom numbersnormal distributionimage as a numpy arrayworking with polynomialsworking with datesdealing with missing valuesworking with pandas Series and DataFramesreading/writing filesworking with stock market datacreating visualizations using seaborn and plotlypreparing data to the machine learning modelsfeature extractionsplitting data into train and test setssolving systems of equationsbuilding regression and classification modelsworking with neural networks – TensorFlow and Kerasworking with computer vision – OpenCV

This is a great test for people who are learning the Python language and are looking for new challenges. The course is designed for people who already have basic knowledge in Python and knowledge about data science libraries. Exercises are also a good test before the interview. Many popular topics were covered in this course.

Don’t hesitate and take the challenge today!

Stack Overflow Developer Survey

According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.

Udemy Coupon :


What you will learn :

1. solve over 250 exercises in data science in Python
2. deal with real programming problems
3. deal with real problems in data science
4. work with libraries numpy, pandas, seaborn, plotly, scikit-learn, opencv, tensorflow
5. work with documentation
6. guaranteed instructor support

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