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 stars76.13%
- 4 stars18.51%
- 3 stars3.59%
- 2 stars0.87%
- 1 star0.87%
UNDERSTANDING AND VISUALIZING DATA WITH PYTHON からの人気レビュー
This course is very good for the people who are not from programming background as everything related to the concepts is very well explained (with programming support) throughout the course
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"
A very basic but good introduction to understanding data. An introduction to data visualization. Not a good introduction to Python, but does show how to use Python functions to present data.
The material was explained thoroughly. It gave me the confidence to apply the knowledge in my own field of research and to explore new methods of visualization in the seaborn package.
Statistics with Python専門講座について