Go Beyond the Numbers: Translate Data into Insights

Advanced Level
1 week at 10 hours a week
Flexible Schedule

Google Career Certificates

What You’ll Learn

Apply the exploratory data analysis (EDA) process

Explore the benefits of structuring and cleaning data

Investigate raw data using Python

Create data visualizations using Tableau

Skills You’ll Gain

Pandas (Python Package) Data analysis Matplotlib Stakeholder Communications Tableau Software Jupyter Data Manipulation Data Presentation Data Transformation Data Visualization Software Data Cleansing Data Validation Python Programming Exploratory Data Analysis Data Ethics Data Storytelling

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile.

Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate from Google

There are 5 modules in this course

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

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

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

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

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