Improve your Python programming skills and solve over 250 data science exercises!


 

This course includes:

  • 29 mins on-demand video
  • 56 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

 

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

  • completed course '200+ Exercises - Programming in Python - from A to Z'
  • completed course '210+ Exercises - Python Standard Libraries - from A to Z'
  • completed course '100+ Exercises - Python Programming - Data Science - NumPy'
  • completed course '100+ Exercises - Python Programming - Data Science - Pandas'
  • completed course '100+ Exercises - Python - Data Science - scikit-learn'

 

Description:

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RECOMMENDED LEARNING PATH

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·         200+ Exercises - Programming in Python - from A to Z

·         210+ Exercises - Python Standard Libraries - from A to Z

·         100+ Exercises - Python Programming - Data Science - NumPy

·         100+ Exercises - Python Programming - Data Science - Pandas

·         100+ Exercises - Python - Data Science - scikit-learn

·         250+ Exercises - Data Science Bootcamp in Python

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COURSE DESCRIPTION

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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