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Google Advanced Data Analytics Capstone
  • About
  • Outcomes
  • Modules
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  2. Data Science
  3. Data Analysis
Google

Google Advanced Data Analytics Capstone

This course is part of Google Advanced Data Analytics Professional Certificate

Google Career Certificates

Instructor: Google Career Certificates

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55,761 already enrolled

Included with Coursera Plus

•Learn more
3 modules
Gain insight into a topic and learn the fundamentals.
4.9

(1,264 reviews)

Advanced level
Designed for those already in the industry
Flexible schedule
6 hours to complete
Learn at your own pace
99%
Most learners liked this course

3 modules
Gain insight into a topic and learn the fundamentals.
4.9

(1,264 reviews)

Advanced level
Designed for those already in the industry
Flexible schedule
6 hours to complete
Learn at your own pace
99%
Most learners liked this course
  • About
  • Outcomes
  • Modules
  • Recommendations
  • Testimonials
  • Reviews

What you'll learn

  • Examine data to identify patterns and trends

  • Build models using machine learning techniques

  • Create data visualizations

  • Explore career resources

Skills you'll gain

  • Machine Learning Methods
  • Statistical Analysis
  • Machine Learning
  • Project Portfolio Management
  • Data Visualization
  • Advanced Analytics
  • Regression Analysis
  • Artificial Intelligence
  • Business Analysis
  • Python Programming
  • Data Analysis
  • Data Storytelling
  • Predictive Modeling

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

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Build your Data Analysis expertise

This course is part of the Google Advanced Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • 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 from Google

There are 3 modules in this course

You’re almost there! This is the eight course of the Google Advanced Data Analytics Certificate. In this course, you have the opportunity to complete an optional capstone project that includes key concepts from each of the six preceding courses. During this capstone project, you'll use your new skills and knowledge to develop data-driven insights for a specific business problem.

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: -Create and/or update your professional portfolio -Develop a data frame -Compose data visualizations -Use statistics to analyze and interpret data -Build, interpret, and evaluate regression models -Utilize machine learning techniques in Python

To start, you’ll be provided with an overview of the optional capstone project and how it differs from the end-of-course projects. You’ll also receive helpful suggestions for successfully completing the capstone project. Finally, you'll learn how to incorporate your completed capstone project into your professional portfolio.

What's included

7 videos6 readings3 assignments2 ungraded labs

7 videos•Total 15 minutes
  • Introduction to Course 7•1 minute•Preview module
  • What to expect in the capstone project•1 minute
  • Incorporate project work in your data analytics portfolio•2 minutes
  • Refine your resume•3 minutes
  • Daniel: Create a compelling resume•2 minutes
  • Eva: Data careers can start anywhere•2 minutes
  • Capstone project wrap-up and tips for ongoing career success•1 minute
6 readings•Total 40 minutes
  • Helpful resources and tips•8 minutes
  • Course 7 overview•8 minutes
  • Introduction to the Course 7 capstone project•8 minutes
  • Activity Exemplar: Course 7 capstone project exemplar •4 minutes
  • Communicate your skills and assets •4 minutes
  • Incorporate your project into a portfolio•8 minutes
3 assignments•Total 105 minutes
  • Did you complete the capstone project?•5 minutes
  • Create your Course 7 capstone project•30 minutes
  • Assess your Course 7 capstone project•70 minutes
2 ungraded labs•Total 80 minutes
  • Activity: Course 7 Salifort Motors project lab•60 minutes
  • Exemplar: Course 7 Salifort Motors project lab•20 minutes

You’ll explore AI opportunities in the field of advanced data analytics.

What's included

7 videos4 readings1 assignment

7 videos•Total 22 minutes
  • Myles: Driving impact with AI in the workplace •2 minutes•Preview module
  • Boost your data analytics skills with AI•5 minutes
  • Clean and prepare data with help from AI •3 minutes
  • Organize data and build formulas using AI•5 minutes
  • Use AI to help you ask more effective questions•2 minutes
  • Create engaging data visualizations with AI•2 minutes
  • Introducing Google AI Essentials•1 minute
4 readings•Total 28 minutes
  • Introduction to AI in Advanced Data Analytics•4 minutes
  • Use generative AI to help you work smarter and faster•8 minutes
  • Key takeaways for AI in Advanced Data Analytics•8 minutes
  • Take the next step with Google AI Essentials•8 minutes
1 assignment•Total 45 minutes
  • Activity: Use generative AI to explain data visualizations•45 minutes

You’ll complete the final tasks necessary to earn your Google Advanced Data Analytics Certificate badge. Congratulations!

What's included

2 videos4 readings1 plugin

2 videos•Total 5 minutes
  • Congratulations on completing the Google Advanced Data Analytics Certificate!•2 minutes•Preview module
  • Exploring professional opportunities •3 minutes
4 readings•Total 14 minutes
  • Showcase your work •4 minutes
  • Claim your Google Advanced Data Analytics Certificate badge•4 minutes
  • Resources for Google Advanced Data Analytics Certificate graduates•4 minutes
  • Advanced Data Analytics Certificate glossary•2 minutes
1 plugin•Total 10 minutes
  • End of course survey•10 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

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4.8 (317 ratings)
Google Career Certificates

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Google Career Certificates
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Learner reviews

4.9

1,264 reviews

  • 5 stars

    87.58%

  • 4 stars

    10.67%

  • 3 stars

    1.18%

  • 2 stars

    0.31%

  • 1 star

    0.23%

Showing 3 of 1264

B
BJ
5

Reviewed on Sep 13, 2023

I learned a great deal. This is a well-designed online course. I'd highly recommend it to others seeking an entry point into the data realm.

I
IP
5

Reviewed on Sep 2, 2024

Nice and very challenging training but this knowledge very usefully for our organization to achieving target.

P
PH
5

Reviewed on Dec 29, 2024

A hands-on project with reliable data serves as a cornerstone for any successful endeavor. This course is highly commendable.

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Frequently asked questions

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.

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.

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.

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.

During this certificate program, you’ll gain knowledge of tools and platforms like Jupyter Notebook, Kaggle, Python, Stack Overflow, and Tableau.

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 CertificateOpens in a new tab. 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.

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 analyti

We highly recommend completing the seven courses in the order presented because the content in each course builds on information covered in earlier lessons.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

  • The course may not offer an audit option. 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.

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. If you only want to read and view the course content, you can audit the course for free.

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 policyOpens in a new tab.

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