This course provides a comprehensive introduction to Python for data analysis, visualization, and machine learning. Participants will learn how to leverage Python’s powerful libraries, such as NumPy, Pandas, and Matplotlib, to perform data cleaning, transformation, and analysis.
Real-world case studies will be used to illustrate key concepts and demonstrate the application of Python in practical settings. Hands-on training and assignments based on real-time examples are also included to ensure that participants gain practical experience in using Python for data analysis.
Upon completion of this course, participants will have a solid understanding of Python and be able to apply its features and functions to perform data analysis, create visualizations, and build machine learning models. Additionally, they will be equipped with the skills to develop data models, perform data cleaning and transformation, and effectively visualize data using Python.
This course will also cover advanced topics such as natural language processing, deep learning, and image processing, and how to incorporate them into Python. Participants will also learn how to deploy and share their Python-based data analysis projects with others in the organization. Overall, this course offers an opportunity to gain a deep understanding of Python and its capabilities for data analysis and machine learning, and how to use it to drive business insights and decision-making.