Google
Go Beyond the Numbers: Translate Data into Insights
Google

Go Beyond the Numbers: Translate Data into Insights

This course is part of Google Advanced Data Analytics Professional Certificate

Taught in English

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39,226 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.8

(483 reviews)

|

97%

Advanced level
Designed for those already in the industry
32 hours (approximately)
Flexible schedule
Learn at your own pace

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 

Details to know

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Assessments

21 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(483 reviews)

|

97%

Advanced level
Designed for those already in the industry
32 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Data Analysis expertise

This course is part of the Google Advanced Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • 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
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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.

What's included

8 videos5 readings3 quizzes1 plugin

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.

What's included

9 videos6 readings4 quizzes7 ungraded labs1 plugin

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.

What's included

11 videos6 readings5 quizzes1 discussion prompt5 ungraded labs1 plugin

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.

What's included

8 videos11 readings5 quizzes1 discussion prompt1 plugin

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.

What's included

4 videos9 readings4 quizzes2 discussion prompts6 ungraded labs

Instructor

Instructor ratings
4.8 (129 ratings)
Google Career Certificates

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Google
323 Courses9,293,751 learners

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4.8

483 reviews

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MC
5

Reviewed on May 12, 2023

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5

Reviewed on Feb 6, 2024

HK
5

Reviewed on May 29, 2023

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