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.
涵盖的内容
2个视频2篇阅读材料1个作业
显示有关单元内容的信息
2个视频•总计8分钟
Data in action•5分钟
Nikki: The data process works•2分钟
2篇阅读材料•总计9分钟
Welcome to “Ask Effective Questions”•1分钟
From issue to action: The six data analysis phases•8分钟
1个作业•总计8分钟
Test your knowledge on taking action with data•8分钟
Solve problems with data
第 2 单元•小时 后完成
单元详情
Explore the problem types that data analysts face.
涵盖的内容
3个视频1篇阅读材料1个作业1个插件
显示有关单元内容的信息
3个视频•总计15分钟
Common problem types•6分钟
Continue exploring business applications•7分钟
Anmol: From hypothesis to outcome•2分钟
1篇阅读材料•总计8分钟
Six common problem types•8分钟
1个作业•总计8分钟
Test your knowledge on solving problems with data•8分钟
1个插件•总计10分钟
Name the problem type•10分钟
Craft effective questions
第 3 单元•小时 后完成
单元详情
Learn how to ask effective questions to guide data analysis.
涵盖的内容
2个视频1篇阅读材料4个作业
显示有关单元内容的信息
2个视频•总计10分钟
SMART questions•7分钟
Evan: Data opens doors•3分钟
1篇阅读材料•总计8分钟
More about SMART questions•8分钟
4个作业•总计88分钟
Self-Reflection: Practice working SMART•20分钟
Self-Reflection: Ask your own SMART questions•20分钟
Test your knowledge on crafting effective questions•8分钟
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.