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.
- 5 stars76.09%
- 4 stars18.54%
- 3 stars3.62%
- 2 stars0.84%
- 1 star0.88%
來自UNDERSTANDING AND VISUALIZING DATA WITH PYTHON的熱門評論
Excellent course materials, especially the videos, with content that is thoughtfully composed and carefully edited. Very good python training, great instructors, and overall great learning experience.
20 studying hours that helps me getting back to speed on manipulating the quantitative data in Pandas with different query conditions, powerful statistics and Sampling Distributions.
The course is very well structured. Teaching and links to related articles help us understand the concepts better. Jupyter notebook based python learning is very comfortable and easy to use.
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.