Exploratory Data Analysis (EDA) in Google Sheets
Offered By: Coursera Project Network via Coursera
Course Description
Overview
In your Exploratory Data Analysis (EDA) in Google Sheets project, you will gain hands-on experience conducting EDA. You will also gain experience interpreting the statistics and visualizations you produce. And while you are conducting EDA, you will gain insights and apply techniques to aid in choosing a direction for an analysis after EDA is complete. To do this you will work in the free-to-use spreadsheet software Google Sheets.
By the end of this project, you will be able to confidently carry out Exploratory Data Analysis using any spreadsheet software to aid in understanding a data set.
We all want to find the actions in the data we work with, and that we consume personally. We ask ourselves important questions like, “What can my organization do with this?” and “What can I learn from this?” The most critical part of taking in any data is the statistical approach that comes first. Exploratory Data Analysis, or EDA, is an approach to analyzing data sets that summarizes their main characteristics and often uses visualizations like charts and graphs to understand the data before formal modeling or hypothesis testing occurs. Through EDA, we can explore what the data tells us without any manipulation and it gives us the opportunity to uncover high-arching areas of interest so that we don’t miss what the data story tells us.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
By the end of this project, you will be able to confidently carry out Exploratory Data Analysis using any spreadsheet software to aid in understanding a data set.
We all want to find the actions in the data we work with, and that we consume personally. We ask ourselves important questions like, “What can my organization do with this?” and “What can I learn from this?” The most critical part of taking in any data is the statistical approach that comes first. Exploratory Data Analysis, or EDA, is an approach to analyzing data sets that summarizes their main characteristics and often uses visualizations like charts and graphs to understand the data before formal modeling or hypothesis testing occurs. Through EDA, we can explore what the data tells us without any manipulation and it gives us the opportunity to uncover high-arching areas of interest so that we don’t miss what the data story tells us.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Taught by
Tricia Bagley
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