Data Engineering With Python full course

This Course is a program designed to teach individuals the skills and knowledge necessary to build data processing pipelines and data warehousing solutions using Python programming language. The course typically covers the basics of data engineering concepts such as data modeling, data warehousing, data transformation, and data integration. Students will learn how to use various Python libraries and frameworks such as Pandas, NumPy, Matplotlib, and Scikit-learn to perform data manipulation, data visualization, and data analysis tasks. Additionally, the course may cover topics such as SQL databases, NoSQL databases, cloud computing, and big data processing frameworks, providing students with a comprehensive understanding of how to work with large and complex datasets. By the end of the course, students will have the skills necessary to design, implement, and maintain data pipelines and data warehousing solutions using Python programming language, as well as the knowledge to continue their learning and development in the field of data engineering.