The virtual course "Understanding and visualizing data with Python - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 20 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
In this course, students will gain an understanding of the field of statistics, including data sources, study design, data management, and data exploration and visualization.
Students will identify different types of data and learn to visualize, analyze, and interpret both univariate and multivariate data summaries.
Students will also learn the differences between probability and non-probability sampling of larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.
At the end of each week, students will apply the statistical concepts they learned using Python within the course environment.
During these lab sessions, students will discover the different uses of Python as a tool, including Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries.
Tutorial videos are provided to guide students through creating visualizations and managing data, all within Python.
This course uses the Jupyter Notebook environment within Coursera.
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University of Michigan
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