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%
来自UNDERSTANDING AND VISUALIZING DATA WITH PYTHON的热门评论
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
A very well explained and well-structered course. I highly recommend to those who want learn statistics along with python programming. This course majorly focuses on the visualization aspect.
Very helpful course for newcomer in data science studies. Great in clearing fundamentals for descriptive statistics, use of python to get these insights,plotting. Overall provide good learning curve.
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.