What background knowledge is necessary?

<text variant="body1">None! No prior experience in data analytics is required.

What tools will I learn to use in this Specialization?

<text variant="body1">You’ll gain practical experience with spreadsheets (Excel/Google Sheets) and generative AI tools to assist with analysis and presentations.

What career opportunities can I pursue after completing this Specialization?

Organizations everywhere need professionals who can use data and AI to guide decision-making. You’ll be equipped to analyze data, create dashboards, and communicate insights to support data-driven decision-making.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

What is the refund policy?

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Spezialisierung für Google Data-Driven Decision Making

Diese spezialisierung ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Spezialisierung für Google Data-Driven Decision Making

Improve business decisions with data and AI.. Learn to ask SMART questions, analyze information, and turn complex data into actionable insights.

Dozent: Google Career Certificates

TOP-LEHRKRAFT

Bei Coursera Plus enthalten

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9-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

Stufe Anfänger

Empfohlene Erfahrung

4 Wochen zu vervollständigen

unter 6 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

9-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

Stufe Anfänger

Empfohlene Erfahrung

4 Wochen zu vervollständigen

unter 6 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Apply structured thinking, data integrity checks, and ethical practices to real-world business problems
Use AI responsibly to speed up data analysis and prepare effective presentations
Communicate insights effectively to stakeholders and make confident, data-driven decisions

Kompetenzen, die Sie erwerben

Kategorie: Sampling (Statistics)
Kategorie: Statistics
Kategorie: Data Validation
Kategorie: Probability & Statistics
Kategorie: Sample Size Determination
Kategorie: Small Data
Kategorie: Data Integrity
Kategorie: Statistical Analysis
Kategorie: Data Analysis
Kategorie: Data Quality
Kategorie: Data Cleansing
Kategorie: Stakeholder Communications
Kategorie: Data Visualization
Kategorie: Data Presentation
Kategorie: Analytics
Kategorie: Microsoft Excel
Kategorie: Data Ethics
Kategorie: Root Cause Analysis
Kategorie: Correlation Analysis
Kategorie: Solution Design
Kategorie: Interviewing Skills
Kategorie: Interpersonal Communications
Kategorie: Internal Communications
Kategorie: Team Building
Kategorie: Stakeholder Engagement
Kategorie: Prompt Engineering
Kategorie: Responsible AI
Kategorie: Spreadsheet Software
Kategorie: Excel Formulas
Kategorie: Generative AI
Kategorie: Presentations
Kategorie: Verbal Communication Skills
Kategorie: Drive Engagement
Kategorie: Concision
Kategorie: Oral Expression

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Unterrichtet in Englisch

Kürzlich aktualisiert!

September 2025

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

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Erweitern Sie Ihre Fachkenntnisse.

Erlernen Sie gefragte Kompetenzen von Universitäten und Branchenexperten.
Erlernen Sie ein Thema oder ein Tool mit echten Projekten.
Entwickeln Sie ein fundiertes Verständnisse der Kernkonzepte.
Erwerben Sie ein Karrierezertifikat von Google.

Spezialisierung - 9 Kursreihen

Ready to harness the power of data and AI to make better business decisions? This beginner-friendly Specialization from Google will equip you with the essential data analysis skills you need.

You'll learn how to ask the right questions, analyze information, and turn complex data into clear, actionable insights. The program begins by exploring core concepts of data analytics and structured thinking, then progresses to topics like data integrity, bias, and ethical responsibility.

Throughout the program, Google experts will guide you through this Specialization by providing hands-on practice with popular tools like spreadsheets, and generative AI tools, learning how to:

Ask the right questions to get to the heart of a problem
Discover hidden insights
Master the art of presenting your findings and influencing key stakeholders

By the time you're finished, you won't just know how to analyze data—you'll be able to manage real-world business scenarios with confidence.

Praktisches Lernprojekt

Throughout this Specialization, you’ll engage in hands-on activities that simulate real-world data scenarios. You’ll clean and validate datasets, detect bias, and apply structured problem-solving to business problems. You’ll use spreadsheets to organize and calculate data and explore the art of visualizations and how to create them. You’ll learn how to use AI prompting frameworks to accelerate analysis and build presentations.

Introducing Data Analytics and Analytical Thinking

KURS 13 Stunden

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

Kategorie: Data Ethics

Kategorie: Data Quality

Kategorie: Root Cause Analysis

Ask Effective Questions

KURS 22 Stunden

Was Sie lernen werden

Explore problem solving in data analysis through a variety of real-world business scenarios
Describe the six phases of the data analysis process
Identify the common problem types that data analysts face
Practice effective questioning techniques that can help guide analysis

Kompetenzen, die Sie erwerben

Kategorie: Interviewing Skills

Make Data-Driven Decisions

KURS 32 Stunden

Was Sie lernen werden

Discuss the importance and benefits of dashboards and reports to the data analyst with reference to Tableau and spreadsheets
Explain the difference between quantitative and qualitative data including reference to their use and specific examples
Compare and contrast data-driven decision making with data-inspired decision making
Discuss the use of data in the decision-making process

Kompetenzen, die Sie erwerben

Kategorie: Stakeholder Communications

Kategorie: Data Visualization

Kategorie: Data Presentation

Kategorie: Analytics

Kategorie: Microsoft Excel

Always Remember the Stakeholder

KURS 42 Stunden

Was Sie lernen werden

Identify common limitations with data, with specific reference to speed versus accuracy and responding to time-sensitive requests
Discuss the importance of focus on stakeholder expectations.
Discuss best practices for the data analyst in reference to office communication, conflict resolution, facilitating meetings, and status reports.

Kompetenzen, die Sie erwerben

Kategorie: Interpersonal Communications

Kategorie: Internal Communications

Kategorie: Team Building

Kategorie: Stakeholder Engagement

Data Responsibility

KURS 53 Stunden

Was Sie lernen werden

Discuss the difference between biased and unbiased data.
Discuss characteristics of credible sources of data including reference to untidy data
Explain the relationship between data ethics and data privacy
Demonstrate an awareness of the accessibility issues associated with open data

The Importance of Integrity

KURS 62 Stunden

Was Sie lernen werden

Define different types of data integrity and identify risks to data integrity.
Describe the benefits of documenting data cleaning process.
Describe strategies that can be used to address insufficient data.
Describe the benefits of documenting the data cleaning process

Kompetenzen, die Sie erwerben

Kategorie: Sampling (Statistics)

Kategorie: Statistics

Kategorie: Data Validation

Kategorie: Probability & Statistics

Kategorie: Sample Size Determination

Kategorie: Small Data

Kategorie: Data Integrity

Kategorie: Statistical Analysis

Kategorie: Data Analysis

Kategorie: Data Quality

Kategorie: Data Cleansing

Visualize Data

KURS 74 Stunden

Was Sie lernen werden

Describe the use of data visualizations to talk about data and the results of data analysis.
Describe the key concepts involved in data visualization.
Discuss accessibility issues associated with data visualization.
Explain the key concepts involved in design thinking as they relate to data visualization.

Kompetenzen, die Sie erwerben

Kategorie: Correlation Analysis

Kategorie: Solution Design

Develop Presentations and Slideshows

KURS 83 Stunden

Was Sie lernen werden

Explain principles and practices associated with effective presentations.
Describe how junior data analysts are expected to use their presentation skills.

Kompetenzen, die Sie erwerben

Kategorie: Drive Engagement

Kategorie: Concision

Kategorie: Oral Expression

Kategorie: Stakeholder Communications

Fast-Track Data Analysis and Presentations

KURS 91 Stunde

Was Sie lernen werden

Apply the prompting framework to extract insights from data, identify and fix spreadsheet formulas, and explore data visualization
Develop a responsible prompting practice when entering data into generative AI tools
Understand AI sampling parameters, how they work, and strategies for their use
Apply the prompting framework to level up your presentation skills.

Kompetenzen, die Sie erwerben

Kategorie: Prompt Engineering

Kategorie: Responsible AI

Kategorie: Data Analysis

Kategorie: Spreadsheet Software

Kategorie: Excel Formulas

Kategorie: Sampling (Statistics)

Kategorie: Generative AI

Kategorie: Presentations

Kategorie: Verbal Communication Skills

Erwerben Sie ein Karrierezertifikat.

Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.

Dozent

TOP-LEHRKRAFT

Google Career Certificates

Google

354 Kurse13.794.146 Lernende

von

Google

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

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Lernender seit 2018

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Chaitanya A.

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Häufig gestellte Fragen

This program is designed for anyone who wants to learn how to use data to make better decisions, especially if you're new to data analysis. It's particularly useful for managers, leaders, and professionals who need to make data-driven decisions or help inform those who do.

None! No prior experience in data analytics is required.

Yes. This program is designed for complete beginners with no prior experience in data analytics. You’ll start with foundational concepts and gradually build applied skills using spreadsheets and AI tools.