Python for Data Science – NumPy, Pandas & Scikit-Learn

Master Python for Data Science - Unlock the Key Tools for Efficient Data Analysis and Modeling!

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

What Will I Learn?

• solve over 330 exercises in NumPy, Pandas and Scikit-Learn
• deal with real programming problems in data science
• work with documentation and Stack Overflow
• guaranteed instructor support

Requirements

• basic knowledge of Python
• basic knowledge of NumPy, Pandas and Scikit-Learn

Target audience

• data scientists or analysts who want to learn and leverage Python libraries such as NumPy, Pandas, and Scikit-Learn for data manipulation, analysis, and machine learning tasks
• students or individuals pursuing a career in data science or data analysis who need a strong foundation in using Python for data processing and analysis
• programmers or developers who are new to data science and want to learn how to use Python libraries like NumPy, Pandas, and Scikit-Learn for data manipulation and machine learning tasks
• professionals working with large datasets or involved in data analysis projects who want to enhance their skills in utilizing Python libraries for efficient data processing, exploration, and modeling
• Python developers interested in expanding their knowledge of data science and machine learning techniques and want to learn how to use relevant Python libraries for these tasks
• self-learners or enthusiasts interested in data science and want to develop their Python skills specifically for data manipulation, analysis, and machine learning tasks