- Level Expert
- Duration 10 hours
- Course by Google
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Offered by
About
You’re almost there! This is the seventh and final 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 seven 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 resume -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 PythonModules
Introduction to the capstone course
2
Videos
- Introduction to Course 7
- What to expect in the capstone project
3
Readings
- Helpful resources and tips
- Course 7 overview
- Introduction to the Course 7 capstone project
Complete the capstone project
2
Labs
- Activity: Course 7 Salifort Motors project lab
- Exemplar: Course 7 Salifort Motors project lab
1
Readings
- Activity Exemplar: Course 7 capstone project exemplar
3
Quiz
- Create your Course 7 capstone project
- Assess your Course 7 capstone project
- Did you complete the capstone project?
Capstone project wrap-up
1
Videos
- Capstone project wrap-up and tips for ongoing career success
1
Readings
- Incorporate your project into a portfolio
Projects and portfolios
2
Videos
- The data professional hiring process
- Incorporate project work in your data analytics portfolio
1
Readings
- Communicate your skills and assets
Resumes to launch your future in a data career
2
Videos
- Refine your resume
- Daniel: Create a compelling resume
2
Readings
- Resume writers’ workshop
- Activity Exemplar: Optimize your resume
2
Quiz
- Activity: Optimize your resume
- Test your knowledge: Resumes to launch your future in a data career
Interview success
2
Videos
- Prepare for interviews
- Eva: Data careers can start anywhere
2
Readings
- Proactive approaches to the interview process
- Prepare for interviews with Interview Warmup
1
Quiz
- Test your knowledge: Interview success
[Optional] Review Google Data Analytics Certificate content
4
Videos
- Why an online presence is important
- Tips for enhancing your online presence
- Create a compelling resume
- Make your resume unique
2
Readings
- Get started with LinkedIn
- Build connections on LinkedIn
1
Quiz
- Activity: Build a resume
Certificate wrap-up
2
Videos
- Congratulations on completing the Google Advanced Data Analytics Certificate!
- Exploring professional opportunities
3
Readings
- Showcase your work
- Claim your Google Advanced Data Analytics Certificate badge
- Advanced Data Analytics Certificate glossary
1
Quiz
- Resources for Google Advanced Data Analytics Certificate graduates
Auto Summary
The Google Advanced Data Analytics Capstone, offered by Coursera, is the final course in the Google Advanced Data Analytics Certificate. This expert-level course focuses on applying data science and AI skills through a hands-on capstone project guided by Google employees. Over 600 hours, learners will develop insights, update professional materials, and enhance their proficiency in areas such as data visualization, regression models, and machine learning using Python. Ideal for those with foundational analytics knowledge, the course prepares participants for advanced data analytics careers. Subscription options are available.

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