Exploratory Data Analysis (EDA) in Google Sheets

25 个评分
Coursera Project Network
在此免费的指导 项目中,您将:

Understand Exploratory Data Analysis (EDA) and its practical application.

Conduct EDA by evaluating descriptive statistics, a t-test and chi-square test for independence from individual and paired samples.

Interpret EDA statistics and produce graphs and charts to aid in understanding the data story.


Clock2 hours
Comment Dots英语(English)

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.


Some familiarity with spreadsheet software is helpful.


Business AnalysisFinding Actions in DataVisual Data AnalysisInsight MiningExploratory Data Analysis



  1. Review Exploratory Data Analysis (EDA) and how it is applied to a data set.

  2. Review the calculations behind the mean, median, mode, variance, and standard deviation statistics that you will use in EDA.

  3. Import data into Google Sheets and build the framework for Exploratory Data Analysis.

  4. Conduct EDA with individual and paired samples.

  5. Interpret the statistics, produce graphs and charts, and report the findings from EDA.






还有其他问题吗?请访问 学生帮助中心