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In diesem Kurs gibt es 3 Module
In this course, you'll learn about problem solving in data analysis through real-world scenarios. You’ll explore the phases of data analysis and the problem types that data analysts face. You’ll also learn how to ask effective questions to guide data analysis. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks.
By the end of this course, you will be able to:
- 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
Learn about problem solving in the data analysis phase through real-world scenarios and explore the phases of data analysis.
Das ist alles enthalten
2 Videos2 Lektüren1 Aufgabe
Infos zu Modulinhalt anzeigen
2 Videos•Insgesamt 8 Minuten
Data in action•5 Minuten
Nikki: The data process works•2 Minuten
2 Lektüren•Insgesamt 9 Minuten
Welcome to “Ask Effective Questions”•1 Minute
From issue to action: The six data analysis phases•8 Minuten
1 Aufgabe•Insgesamt 8 Minuten
Test your knowledge on taking action with data•8 Minuten
Solve problems with data
Modul 2•1 Stunde abzuschließen
Moduldetails
Explore the problem types that data analysts face.
Das ist alles enthalten
3 Videos1 Lektüre1 Aufgabe1 Plug-in
Infos zu Modulinhalt anzeigen
3 Videos•Insgesamt 15 Minuten
Common problem types•6 Minuten
Continue exploring business applications•7 Minuten
Anmol: From hypothesis to outcome•2 Minuten
1 Lektüre•Insgesamt 8 Minuten
Six common problem types•8 Minuten
1 Aufgabe•Insgesamt 8 Minuten
Test your knowledge on solving problems with data•8 Minuten
1 Plug-in•Insgesamt 10 Minuten
Name the problem type•10 Minuten
Craft effective questions
Modul 3•2 Stunden abzuschließen
Moduldetails
Learn how to ask effective questions to guide data analysis.
Das ist alles enthalten
2 Videos1 Lektüre4 Aufgaben
Infos zu Modulinhalt anzeigen
2 Videos•Insgesamt 10 Minuten
SMART questions•7 Minuten
Evan: Data opens doors•3 Minuten
1 Lektüre•Insgesamt 8 Minuten
More about SMART questions•8 Minuten
4 Aufgaben•Insgesamt 88 Minuten
Self-Reflection: Practice working SMART•20 Minuten
Self-Reflection: Ask your own SMART questions•20 Minuten
Test your knowledge on crafting effective questions•8 Minuten
Grow with Google is an initiative that draws on Google's decades-long history of building products, platforms, and services that help people and businesses grow. We aim to help everyone – those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
What background is required?
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
Do you need to be strong at math to succeed in this certificate?
You don't need to be a math all-star to succeed in this certificate. You need to be curious and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's about asking the right questions, finding the best sources to answer your questions effectively, and illustrating your findings clearly in visualizations.
Do you need to take each course in course order?
We highly recommend taking the courses in the order presented, as the content builds on information from earlier courses. This is the second course in a series of nine courses that make up the Google Data-Driven Decision Making Specialization.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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.
Finanzielle Unterstützung verfügbar, weitere Informationen
¹ Einige Aufgaben in diesem Kurs werden mit AI bewertet. Für diese Aufgaben werden Ihre Daten in Übereinstimmung mit Datenschutzhinweis von Courseraverwendet.