Introducing Data Analytics and Analytical Thinking

This course is part of Google Data-Driven Decision Making Specialization

Instructor: Google Career Certificates

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5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Discuss the use of data in everyday life decisions
Explain the data analysis process, making specific reference to the ask, prepare, process, analyze, share, and act phases
Define key concepts involved in data analytics including data, data analysis, and data ecosystem
Explain the concept of data-driven decision-making including specific examples

Skills you'll gain

Business Analytics

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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This course is part of the Google Data-Driven Decision Making Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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

There are 5 modules in this course

Data is everywhere, but turning it into insight requires more than technical skills. You'll learn about bias and its appearance in data, sharpen your analytical thinking skills, and understand how data ecosystems operate. You’ll learn to question assumptions, interpret findings by combining data and business knowledge, and understand why data-informed decisions empower businesses.

By the end of this course, you will be able to: -Discuss the use of data in everyday life decisions -Explain the data analysis process, making specific reference to the ask, prepare, process, analyze, share, and act phases -Define key concepts involved in data analytics including data, data analysis, and data ecosystem -Explain the concept of data-driven decision-making including specific examples -Describe the key characteristics of analytical thinking -Explain how analytical thinking enables decision-making -Begin asking more effective questions

Data analysis follows a six-phased process that requires ongoing review and iteration to ensure quality. In this part of the course, you'll learn what data analysis is, what happens after data analysis, and why data science specialization is important.

What's included

2 videos3 readings1 assignment

Data ecosystems bring together multiple elements—hardware, software tools, and users—to serve various purposes like data storage and production. In this part of the course, you'll learn what the data ecosystem is, and why blending data with business knowledge can be useful.

What's included

2 videos2 readings1 assignment

In this part of the course, you'll explore what key analytical skills are required and how to apply them in business scenarios.

What's included

2 videos1 reading1 assignment1 plugin

There are many ways to think—creative, abstract—but analytical thinking is crucial. In this part of the course, you'll learn aspects of analytical thinking, what questions data analysts ask when searching for solutions, and why data-driven approaches are more effective.