Mathematics and Statistics
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
In this course, we will explore techniques for analyzing datasets that are represented as tables or databases. Often, it can be challenging to gain meaningful insights from such datasets beyond their size and variable types. However, through the utilization of graphical and numerical techniques, we will delve deeper into the data's structure. By identifying variables that indicate intriguing relationships and recognizing unusual observations, we will enhance our understanding of the dataset. By the course's conclusion, you will possess the ability to address these inquiries and more, all while generating visually appealing and enlightening graphics.
by DataCamp
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
by DataCamp
Use data manipulation and visualization skills to explore the historical voting of the United Nation...
by DataCamp
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI...
by DataCamp
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA...
by DataCamp
Learn how to explore what's available in a database: the tables, relationships between them, and dat...
by DataCamp
Explore HR data analysis in Tableau with this case study.
by DataCamp
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful an...
by DataCamp
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
by DataCamp
Learn how to explore, visualize, and extract insights from data.
by DataCamp
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.