Google
Go Beyond the Numbers: Translate Data into Insights
Google

Go Beyond the Numbers: Translate Data into Insights

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Top Instructor

55,383 already enrolled

Included withCoursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(660 reviews)

Advanced level
Designed for those already in the industry
Flexible schedule
Approx. 32 hours
Learn at your own pace
97%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(660 reviews)

Advanced level
Designed for those already in the industry
Flexible schedule
Approx. 32 hours
Learn at your own pace
97%
Most learners liked this course

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

20 quizzes, 1 assignment

Taught in English

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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 readings2 quizzes1 assignment1 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 quizzes5 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 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 videos10 readings4 quizzes6 ungraded labs

Instructor

Instructor ratings
4.7 (177 ratings)
Google Career Certificates

Top Instructor

Google
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Learner reviews

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4.7

660 reviews

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    12.82%

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    1.05%

TP
5

Reviewed on Feb 6, 2024

MC
5

Reviewed on May 12, 2023

MH
5

Reviewed on Dec 19, 2023

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