In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.
High school algebra
High school algebra
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- 5 stars76.19%
- 4 stars18.39%
- 3 stars3.65%
- 2 stars0.85%
- 1 star0.90%
来自UNDERSTANDING AND VISUALIZING DATA WITH PYTHON的热门评论
The course appearance may not as interesting as other courses, but if I have to name a course where my ability increases the most through the learning, I would choose this course. Thank you!
Excellent introductory course to statistics. Great use of NHANES dataset to demonstrate techniques on real dataset. I would appreciate a more demanding project at the course end.
Well organized material. The Discussion forum was the best one I've experienced in my Coursera education. All my questions were answered within one day. The best statistics class I've taken yet!
Good content but I dont like some assigment/assessment, especially the one asking to write a memorandum, which is totally not related to "Understanding and Visualizing Data with Python"
关于 Statistics with Python 专项课程
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.