Data Science Bootcamp in Python: 250+ Exercises to Master

Unlock the World of Data Science in Python with 250+ Engaging Exercises - Master the Art of Data Science!

Created by: Paweł Krakowiak
Python Developer/Data Scientist/Stockbroker

What Will I 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

• completion of all courses in the Python Developer learning path
• completion of all courses in the Data Scientist learning path

Target audience

• aspiring data scientists who want to learn and practice data science concepts and techniques using Python
• students or individuals with a background in statistics, mathematics, or related fields who want to apply their knowledge to real-world data analysis and gain practical experience in Python
• programmers or software developers who want to expand their skillset to include data science and machine learning using Python
• professionals working in data-related roles who want to enhance their data analysis and machine learning skills using Python for better decision-making and insights
• data analysts or business analysts who want to upgrade their skills to perform more advanced data analysis, visualization, and modeling using Python
• self-learners who are interested in data science and want to acquire practical experience by solving a variety of data-related exercises in Python