Industrial
Professional
This course is a comprehensive introduction to Python for data science, machine learning, and artificial intelligence. It covers fundamental concepts such as data analysis, data visualization, regression, classification, clustering, natural language processing (NLP), and web-based model deployment. The curriculum is designed to provide a hands-on learning experience with practical implementations using libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and TensorFlow. By the end of this course, learners will have the ability to analyze large datasets, build predictive models, and deploy machine learning applications in real-world scenarios.
By the end of this course, students will: