Statistics with Python
$49
ENROLL NOWCourse Overview
What You'll Learn
- This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language.
- Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization.
- Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.
This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing 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 taught to them.
Course FAQs
Is this an accredited online course?
Accreditation for 'Statistics with Python' is determined by the provider, University of Michigan. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Statistics with Python' on the University of Michigan online class platform, where you can complete your registration.
