250+ Exercises – 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. 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 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.

Course Content

  • Configuration (optional).
  • Tips.
  • —–NUMPY—–.
  • 001-010 Exercises.
  • 011-020 Exercises.
  • 021-030 Exercises.
  • 031-040 Exercises.
  • 041-050 Exercises.
  • 051-060 Exercises.
  • 061-070 Exercises.
  • 071-080 Exercises.
  • 081-090 Exercises.
  • 091-100 Exercises.
  • —–PANDAS—–.
  • 101-110 Exercises.
  • 111-120 Exercises.
  • 121-130 Exercises.
  • 131-140 Exercises.
  • 141-150 Exercises.
  • 151-160 Exercises.
  • 161-170 Exercises.
  • 171-180 Exercises.
  • 181-190 Exercises.
  • 191-200 Exercises.
  • —–SUMMARY—–.
  • 201-210 Exercises.
  • 211-220 Exercises.
  • 221-230 Exercises.
  • 231-240 Exercises.
  • 241-250 Exercises.

250+ Exercises - Data Science Bootcamp in Python

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
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