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Python for Data Science

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This course is tailored for individuals aiming to utilize Python in the field of data science. It covers the basics of Python programming and extends to specific libraries and tools pivotal for data analysis, visualization, and machine learning, such as NumPy, pandas, Matplotlib, and sci-kit-learn. Through practical examples and real-world datasets, students will learn to manipulate data, perform complex analyses, and implement machine learning algorithms. By the end of the course, participants will have the skills to tackle data science projects, from data preprocessing to predictive modeling, using Python.

Module 1: Introduction to Python for Data Science

Module 2: Data Manipulation with Pandas

Module 3: Data Analysis and Visualization

Module 4: Introduction to Machine Learning with Scikit-Learn

Module 5: Advanced Machine Learning Concepts

Module 6: Working with Text Data and Natural Language Processing

Module 7: Time Series Analysis