This is the first course in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects.
Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career.
Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.
By the end of this course, you will:
-Describe the functions of data analytics and data science within an organization
-Identify tools used by data professionals
-Explore the value of data-based roles in organizations
-Investigate career opportunities for a data professional
-Explain a data project workflow
-Develop effective communication skills
You’ll begin with an introduction to the Google Advanced Data Analytics Certificate. Then, you'll explore the history of data science and ways that data science helps solve problems today.
涵盖的内容
8个视频8篇阅读材料3个作业1个插件
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8个视频•总计23分钟
Welcome to the Google Advanced Data Analytics Certificate•5分钟
Introduction to Course 1•3分钟
Get started with your Google Advanced Data Analytics Certificate•2分钟
Welcome to module 1•3分钟
Explore your data toolbox•5分钟
Wrap-up•1分钟
Lois-An: Navigate your data career with curiosity•2分钟
Prepare for your first assessment •2分钟
8篇阅读材料•总计42分钟
Google Advanced Data Analytics Certificate overview•8分钟
Course 1 overview•8分钟
Helpful resources and tips•8分钟
Data discourse over the years•4分钟
Prepare to assess your readiness for the Google Advanced Data Analytics Certificate•4分钟
Understand your readiness score•4分钟
Connect with other learners•4分钟
Glossary terms from module 1•2分钟
3个作业•总计80分钟
Module 1 challenge•20分钟
Reflection: Your advanced data analytics journey•10分钟
Assess your readiness for the Advanced Analytics Data Certificate•50分钟
1个插件•总计5分钟
Google Advanced Data Analytics Certificate participant entry survey•5分钟
The impact of data today
第 2 单元•小时 后完成
单元详情
Now that you’re more familiar with the history of data science, you’re ready to explore today’s data career space. You’ll learn more about how data professionals manage and analyze their data, as well as how data-driven insights can help organizations.
涵盖的内容
8个视频9篇阅读材料5个作业2个插件
显示有关单元内容的信息
8个视频•总计27分钟
Welcome to module 2•1分钟
Adrian: Create a data-driven business solution•3分钟
Data-driven careers drive modern business•5分钟
Leverage data analysis in nonprofits•4分钟
The top skills needed for a data career •5分钟
Important ethical considerations for data professionals•5分钟
The data professional career space•5分钟
Wrap-up•1分钟
9篇阅读材料•总计56分钟
Profiles of data professionals •8分钟
Where data makes a difference for the future•4分钟
Ideal qualities for data analytics professionals•8分钟
Volunteer data skills to make a positive impact •8分钟
Critical data security and privacy principles•8分钟
The practices and principles of good data stewardship•4分钟
Build the perfect data team•8分钟
Activity Exemplar: Organize your data team•4分钟
Glossary terms from module 2•4分钟
5个作业•总计96分钟
Module 2 challenge•50分钟
Test your knowledge: Data-driven careers•4分钟
Test your knowledge: Data career skills•6分钟
Activity: Organize your data team•30分钟
Test your knowledge: Work in the field•6分钟
2个插件•总计20分钟
Explore: The data career neighborhood•10分钟
[Turkish learners ONLY] Explore: The data career neighborhood - Türkçe•10分钟
Your career as a data professional
第 3 单元•小时 后完成
单元详情
You’ll identify the skills data professionals use to analyze data. You'll also explore how data professionals collaborate with teammates.
涵盖的内容
4个视频4篇阅读材料3个作业
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4个视频•总计8分钟
Welcome to module 3•0分钟
Cassie: A lifelong love of data•3分钟
The future of data careers•3分钟
Wrap-up•1分钟
4篇阅读材料•总计16分钟
Current and future tools•4分钟
How data professionals use AI•4分钟
The places you’ll go… •4分钟
Glossary terms from module 3•4分钟
3个作业•总计103分钟
Module 3 challenge•50分钟
Activity: Write prompts for Gemini•45分钟
Test your knowledge: Trajectory of the field•8分钟
Data applications and workflow
第 4 单元•小时 后完成
单元详情
You’ll learn about the PACE (Plan, Analyze, Construct, Execute) project workflow and how to organize a data project. You’ll also learn how to communicate effectively with teammates and stakeholders.
涵盖的内容
7个视频9篇阅读材料6个作业2个插件
显示有关单元内容的信息
7个视频•总计22分钟
Welcome to module 4•1分钟
Hautahi: Importance of communication in a data science career•3分钟
Introduction to PACE•7分钟
Key elements of communication•4分钟
Communication drives PACE•4分钟
Connect PACE with upcoming course themes•3分钟
Wrap-up•1分钟
9篇阅读材料•总计52分钟
The PACE Stages•8分钟
Best communication practices for data professionals•4分钟
Activity Exemplar: Communicate with stakeholders in different roles•4分钟
Elements of successful communication•4分钟
The value of the PACE strategy document •8分钟
Communicate objectives with a project proposal•8分钟
Connect PACE with executive summaries•8分钟
Activity Exemplar: Create a project proposal•4分钟
Glossary terms from module 4•4分钟
6个作业•总计146分钟
Module 4 challenge•50分钟
Test your knowledge: The data project workflow •6分钟
Activity: Communicate with stakeholders in different roles•30分钟
Test your knowledge: Elements of communication•6分钟
Activity: Create a project proposal •50分钟
Test your knowledge: Communicate like a data professional•4分钟
2个插件•总计20分钟
Categorize: PACE workflow tasks•10分钟
[Turkish learners ONLY] Categorize: PACE workflow tasks - Türkçe•10分钟
Course 1 end-of-course project
第 5 单元•小时 后完成
单元详情
You’ll complete an end-of-course project, gaining an opportunity to apply your new data skills and knowledge from Course 1 to a workplace scenario, and practice solving a business problem.
涵盖的内容
5个视频12篇阅读材料4个作业6个非评分实验室
显示有关单元内容的信息
5个视频•总计13分钟
The value of a portfolio•4分钟
Welcome to module 5•3分钟
Introduction to your Course 1 end-of-course portfolio project•2分钟
End-of-course project wrap-up and tips for ongoing career success•3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.
确定
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情,我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程,Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好:它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.7
3,931 条评论
5 stars
79.46%
4 stars
14%
3 stars
3.78%
2 stars
1.27%
1 star
1.47%
显示 3/3931 个
S
SM
5·
已于 May 8, 2024审阅
This course is more than just training a few tools. Rather, it helps to have a proper view of the principles of managing and advancing a data-related project.
L
LS
4·
已于 Oct 15, 2025审阅
I believe a focus on the planning phase should come after getting familiar with the technical parts, as I feel like that is context you are missing to fully understand how to plan a data project.
A
AY
5·
已于 Aug 28, 2023审阅
It's very useful course, I learned a lot about data science and data professionals' careers, it's very comprehensive introduction for data science and I am highly recommended.
Organizations of all types and sizes have business processes that generate massive volumes of data. Every moment, all sorts of information gets created by computers, the internet, phones, texts, streaming video, photographs, sensors, and much more. In the global digital landscape, data is increasingly imprecise, chaotic, and unstructured. As the speed and variety of data increases exponentially, organizations are struggling to keep pace.
Data science and advanced data analytics are part of a field of study that uses raw data to create new ways of modeling and understanding the unknown. To gain insights, businesses rely on data professionals to acquire, organize, and interpret data, which helps inform internal projects and processes. Data scientists and advanced data analysts rely on a combination of critical skills, including statistics, scientific methods, data analysis, and artificial intelligence.
What do data professionals do?
A data professional is a term used to describe any individual who works with data and/or has data skills. At a minimum, a data professional is capable of exploring, cleaning, selecting, analyzing, and visualizing data. They may also be comfortable with writing code and have some familiarity with the techniques used by statisticians and machine learning engineers, including building models, developing algorithmic thinking, and building machine learning models.
Data professionals are responsible for collecting, analyzing, and interpreting large amounts of data within a variety of different organizations. The role of a data professional is defined differently across companies. Generally speaking, data professionals possess technical and strategic capabilities that require more advanced analytical skills such as data manipulation, experimental design, predictive modeling, and machine learning. They perform a variety of tasks related to gathering, structuring, interpreting, monitoring, and reporting data in accessible formats, enabling stakeholders to understand and use data effectively. Ultimately, the work of data professionals helps organizations make informed, ethical decisions.
Why start a career in data science or advanced data analytics?
Large volumes of data — and the technology needed to manage and analyze it — are becoming increasingly accessible. Because of this, there has been a surge in career opportunities for people who can tell stories using data, such as senior data analysts and data scientists. These professionals collect, analyze, and interpret large amounts of data within a variety of different organizations. Their responsibilities require advanced analytical skills such as data manipulation, experimental design, predictive modeling, and machine learning.
Which jobs will this certificate help me prepare for?
The Google Advanced Data Analytics Certificate on Coursera is designed to prepare learners for roles as entry-level data scientists and advanced-level data analysts.
What tools and platforms are taught in the curriculum?
During this certificate program, you’ll gain knowledge of tools and platforms like Jupyter Notebook, Kaggle, Python, Stack Overflow, and Tableau.
What background is required?
This certificate program assumes prior knowledge of foundational analytical principles, skills, and tools. To succeed in this certificate program, you should already know about key foundational aspects of data analysis, such as the data analysis process and data life cycle, databases and general database elements, programming language basics, and project stakeholders.
The content in this certificate program builds upon data analytics concepts taught in the Google Data Analytics Certificate. These include key foundational aspects of data analysis such as the data analysis process and data life cycle, databases and general database elements such as primary and foreign keys, SQL and programming language basics, and project stakeholders. If you haven’t completed that program or if you’re unsure whether you have the necessary prerequisites, you can take an ungraded assessment in Course 1 Module 1 of this certificate to evaluate your readiness.
Why enroll in the Google Advanced Data Analytics Certificate?
You’ll learn job-ready skills through interactive content — like activities, quizzes, and discussion prompts — in under six months, with less than 10 hours of flexible study a week. Along the way, you’ll work through a curriculum designed by Google employees who work in the field, with input from top employers and industry leaders. You’ll even have the opportunity to complete end-of-course projects and a final capstone project that you can share with potential employers to showcase your data analysis skills. After you’ve graduated from the program, you’ll have access to career resources and be connected directly with employers hiring for open entry-level roles in data science and advanced roles in data analytics.
Do I need to take the course in a certain order?
We highly recommend completing the seven courses in the order presented because the content in each course builds on information covered in earlier lessons.
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 Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, 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.