Go Beyond the Numbers: Translate Data into Insights

Google via Coursera

Coursera based on 782 ratings

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Overview

This is the third of seven courses in the Google Advanced Data Analytics Certificate. In this course, youll learn how to find the story within data and tell that story in a compelling way. You'll discover how data professionals use storytelling to better understand their data and communicate key insights to teammates and stakeholders. You'll also practice exploratory data analysis and learn how to create effective data visualizations. Google employees who currently work in the field will guide you through...

Syllabus

Find and share stories using data

Youll learn how to find the stories within data and share them with your audience. Youll learn about the methods and benefits of data cleaning and how it can you discover those stories. Youll also go over the steps of the EDA process and learn how EDA can you quickly understand data. Finally, you'll explore different ways to visualize data to communicate key insights.

Explore raw data

Finding stories in data using EDA is all about organizing and interpreting raw data. Python can you do this quickly and effectively. Youll learn how to use Python to perform the EDA practices of discovering and sculpting.

Clean your data

Youll explore three more EDA practices: cleaning, joining, and validating. You'll discover the importance of these practices for data analysis, and youll use Python to clean, validate, and join data.

Data visualizations and presentations

Youll practice creating and presenting data stories in an ethical, accessible, and professional way. You'll also explore advanced data visualization techniques in Tableau.

Course 3 end-of-course project

In this end-of-course project, youll practice using Python to perform EDA on a workplace scenario dataset. Then, you'll use Python and Tableau to visualize the data.