Description

A Data Science in Python course is a structured learning program that teaches individuals how to use Python programming language for data analysis, data visualization, machine learning, and statistical modeling. The course typically covers the fundamental Python programming concepts, including data types, control structures, functions, and object-oriented programming (OOP). Additionally, the course may cover popular Python data science libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.

Throughout the course, students will learn how to clean, explore, manipulate, and visualize data using Python. They will also learn how to build predictive models, perform data analysis and draw insights from data. The course may also cover advanced topics such as deep learning, natural language processing, and big data analytics.