Go Beyond the Numbers: Translate Data into Insights

Instructor: Google Career Certificates

Advanced Level • 1 week at 10 hours a week • Flexible Schedule

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

Outcomes

  • 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.