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Requirements
-
basic knowledge of Python
-
basic knowledge of data science libraries
The course consists of 250 exercises (exercises + solutions) in Python with data science. The emphasis is on knowledge of data science libraries such as:
- numpy
- pandas
- seaborn
- plotly
- scikit-learn
- opencv
- tensorflow
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 questions have been discussed in the course.
Don’t hesitate and take the challenge today!
- people who want to improve their programming skills in Python
- people who are preparing for interviews
- people interested in data science
- data scientists
- data analytics
- machine learning engineers
