Data Science for Everyone 3-3 Univariate Analysis
HTML-код
- Опубликовано: 10 сен 2024
- Univariate Analytics is a technique used to analyze a single variable within a data set. It is employed when there is only one variable or when multiple variables are being analyzed individually within the data set. This type of analysis is essential for gaining a fundamental understanding of the data's key characteristics. This video covers frequency table, summary statistics: mean, median, mode, variance, standard deviation, range, interquartile range (IQR).
Previous: • Data Science for Every...
Next: • Data Science for Every...
Playlist: • Data Science for Everyone
This course is targeted for managers who are not data scientist but need to manage data analytic projects. This is also targeted for managers who want to introduce data-driven management. So, the knowledge provided in this course is both theoretical and pragmatic, but not includes details of mathematics and coding. However, anyone who are beginners in data science are also welcome because this course can provide you with essentials for learning technical aspects of data science.
Takuma Kimura, Ph.D.
Scientist of Organizational Behavior and Business Analytics
/ takuma-kimura-ba6242104