Statistics with Python
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة
- الطبع بواسطة University of Michigan
-
Offered by
عن
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.Auto Summary
Unlock the power of statistical analysis with "Statistics with Python" by Coursera. This foundational course, perfect for beginners and intermediates in Big Data and Analytics, covers data sourcing, management, exploration, and visualization using Python. Learn to estimate, assess theories, construct confidence intervals, and apply advanced statistical models. Available via Starter and Professional subscriptions. Ideal for those eager to connect research questions with robust data analysis methods.
Brenda Gunderson
Brady T. West
Kerby Shedden