**250+ Exercises – Data Science Bootcamp in Python** 3.8 (2 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.

What you’ll learn

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

Requirements

- basic knowledge of Python
- basic knowledge of data science libraries

Description

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!Who this course is for:

- 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

Improve your **Python** programming skills and solve over **250** **data** **science** **exercises**! The course consists of **250** **exercises** (**exercises** + solutions) **in Python** with **data** **science**. The emphasis is on knowledge of **data** **science** libraries such as: What you’ll learn. solve over **250** **exercises** in **data** **science** **in Python**. deal with real programming

**Data Science Bootcamp in Python**, Improve your **Python** programming skills and solve over **250** **data** **science** **exercises**! The course consists of **250** **exercises** (**exercises** + solutions) **in Python** with **data** **science**.