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 stars76.26%
- 4 stars18.42%
- 3 stars3.53%
- 2 stars0.90%
- 1 star0.86%
来自UNDERSTANDING AND VISUALIZING DATA WITH PYTHON的热门评论
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.
Really enjoyed this course. Looking forward to the next part of the specialization. I thought the quality of the lectures was excellent and made the topic interesting and digestible
I've learned so much about the Python programming as well as general statistical skills. This course also lead me to change my initial university's major from Finance to Data Science.
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.