Specialization Statistics with Python

This specialization is designed to teach students introductory and intermediate concepts of statistical analysis using the Python programming language. Students will learn where data comes from, what types of data can be collected, how to design data for research, how to manage data, and how to effectively conduct research and visualize data. They will be able to use data to evaluate and analyze theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods they have learned. Applied Learning Project Courses in this specialization include a variety of assignments that will test the student's knowledge and ability to apply content through concept tests, written analyses, and assessments of Python programming. These assignments are conducted through tests, written assignments, and the Jupyter Notebook environment.