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 stars76.11%
- 4 stars18.53%
- 3 stars3.59%
- 2 stars0.87%
- 1 star0.87%
来自UNDERSTANDING AND VISUALIZING DATA WITH PYTHON的热门评论
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
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.
Very clearly explained each and every topic. Though understanding all the concepts at first is not possible if you got through the videos twice or thrice than you definitely get the concepts
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!