Python Packages for Data Science is designed for learners with little or no programming experience. In this course, you will master the fundamentals of Python and focus on using Python packages for data science, such as Numpy, Pandas, Matplotlib, and Seaborn, to manipulate and visualize data.
Throughout the course, you will engage in hands-on activities and labs to apply your knowledge, building a strong foundation in data science with Python. By completing this course, you will gain the skills to use Python packages specifically developed for data science and enhance your data manipulation and visualization capabilities.
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This specialized course is divided into four modules: "Hello, packages!", "Data Manipulation: Numpy and Pandas", "Data Visualization: Matplotlib", and "Data Visualization: Seaborn". Each module provides comprehensive learning and hands-on activities.
Module 1, "Hello, packages!", introduces the concept of packages in Python and includes hands-on practice with the Random Package. You will also engage in exercises, labs, and self-assessment activities to solidify your understanding of Python packages.
Module 2, "Data Manipulation: Numpy and Pandas", delves into the essential data manipulation tools in Python. You will learn the basics of Numpy and Pandas, participate in in-class demonstrations, and complete labs to apply your knowledge in real-world scenarios.
Module 3, "Data Visualization: Matplotlib", focuses on data visualization using Matplotlib. You will explore the fundamentals of creating plots and engage in an exploratory lab to enhance your skills in data visualization with Python.
Module 4, "Data Visualization: Seaborn", provides an in-depth understanding of Seaborn for data visualization. You will learn advanced techniques, participate in in-class demonstrations, and complete an exploratory lab to strengthen your data visualization capabilities.
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