Google Advanced Data Analytics Capstone from Coursera

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 Python

What's inside

Syllabus

Capstone Project

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.

Data-focused career resources

You’ll review data-focused career resources designed to help you effectively navigate the job market. You'll also get useful tips for polishing your resume and preparing for interviews.

Put your Advanced Data Analytics Certificate to work

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

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Course targets advanced learners who have a strong grasp of data analytics fundamentals and methodologies

Instruction is led by Google employees who are active in the field, ensuring practical, up-to-date instruction

The core audience for this course is individuals transitioning into roles in data science and advanced data analytics and who require advanced instruction to succeed

Covers relevant industry skills and tools sought by employers, which facilitates marketability

Builds upon and enhances existing data analytics knowledge, enabling learners to advance their careers

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Google Advanced Data Analytics Capstone with these activities:

Review Data Analytics Basics

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Refresh your understanding of data analytics principles to strengthen your foundation for this advanced course.

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Review the key concepts of data analytics, including data collection, cleaning, and analysis.
Read articles or blog posts on recent trends in data analytics.

Practice Data Manipulation Techniques

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Reinforce your data manipulation skills by solving practice problems or working on small datasets.

Browse courses on Data Manipulation

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Use a data analysis platform or library to practice data cleaning techniques.
Solve coding challenges that involve data transformation and manipulation.

Join a Study Group

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Collaborate with peers to discuss course concepts, solve problems, and provide support.

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Find a study group or create your own with classmates.
Meet regularly to discuss course material, work on assignments together, and quiz each other.

Four other activities

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Show all seven activities

Develop a Data Visualization

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Create a data visualization that effectively communicates insights from a dataset.

Browse courses on Data Visualization

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Choose a dataset and identify the key insights you want to convey.
Select appropriate data visualization techniques and create a visually appealing and informative graphic.
Present your visualization to others and gather feedback to improve its effectiveness.

Explore Advanced Data Analytics Methods

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Enhance your understanding of advanced data analytics methods through guided tutorials and hands-on exercises.

Browse courses on Machine Learning Applications

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Follow online tutorials or courses that cover advanced data analytics topics.
Apply the techniques to real-life datasets or projects.

Mentor a Junior Data Analyst

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Reinforce your own knowledge and skills by mentoring a junior data analyst.

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Find a junior data analyst who is looking for guidance and support.
Share your knowledge and experiences to help them develop their skills and career.

Participate in a Data Analytics Hackathon

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Challenge yourself and test your skills by participating in a data analytics hackathon.

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Find and register for a data analytics hackathon.
Form a team or work individually to solve a data-driven problem.
Present your solution to a panel of judges and receive feedback.

Career center

Learners who complete Google Advanced Data Analytics Capstone will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use scientific methods to extract knowledge from data. They work on a variety of problems, such as developing new products, improving customer service, and preventing fraud. This course can help you develop the skills you need to become a successful Data Scientist, including data wrangling, data visualization, statistical analysis, machine learning, and programming.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design and implement machine learning models. They work on a variety of problems, such as developing self-driving cars, improving medical diagnosis, and personalizing online experiences. This course can help you develop the skills you need to become a successful Machine Learning Engineer, including data wrangling, data visualization, statistical analysis, machine learning, and programming.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts use data to solve business problems. They work on a variety of projects, such as improving customer satisfaction, increasing sales, and reducing costs. This course can help you develop the skills you need to become a successful Business Analyst, including data wrangling, data visualization, statistical analysis, and machine learning.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve operational problems. They work on a variety of problems, such as optimizing supply chains, scheduling production, and allocating resources. This course can help you develop the skills you need to become a successful Operations Research Analyst, including data wrangling, data visualization, statistical analysis, machine learning, and programming.

See salaries and explore the career path for Operations Research Analyst

Data Architect

Data Architects design and implement data architectures. They work on a variety of projects, such as building data warehouses, streaming data pipelines, and real-time data processing. This course can help you develop the skills you need to become a successful Data Architect, including data wrangling, data visualization, statistical analysis, machine learning, and programming.

See salaries and explore the career path for Data Architect

Data Analyst

Data Analysts design and implement data collection and analysis processes. They help companies understand their data and make informed decisions. This course can help you develop the skills you need to become a successful Data Analyst, including data wrangling, data visualization, statistical analysis, and machine learning.

See salaries and explore the career path for Data Analyst

Risk Analyst

Risk Analysts identify and assess risks to organizations. They work on a variety of projects, such as developing risk management plans, conducting risk assessments, and responding to risk events. This course can help you develop the skills you need to become a successful Risk Analyst, including data wrangling, data visualization, statistical analysis, and machine learning.

See salaries and explore the career path for Risk Analyst

Data Engineer

Data Engineers design and implement data pipelines. They work on a variety of problems, such as building data warehouses, streaming data pipelines, and real-time data processing. This course can help you develop the skills you need to become a successful Data Engineer, including data wrangling, data visualization, statistical analysis, machine learning, and programming.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They work on a variety of problems, such as pricing financial instruments, managing risk, and developing trading strategies. This course can help you develop the skills you need to become a successful Quantitative Analyst, including data wrangling, data visualization, statistical analysis, machine learning, and programming.

See salaries and explore the career path for Quantitative Analyst

Market Research Analyst

Market Research Analysts collect and analyze data about markets and consumers. They work on a variety of projects, such as developing new products, improving customer service, and identifying new market opportunities. This course can help you develop the skills you need to become a successful Market Research Analyst, including data wrangling, data visualization, statistical analysis, and machine learning.

See salaries and explore the career path for Market Research Analyst

Compliance Analyst

Compliance Analysts ensure that organizations comply with laws and regulations. They work on a variety of projects, such as developing compliance policies and procedures, conducting compliance audits, and responding to compliance violations. This course can help you develop the skills you need to become a successful Compliance Analyst, including data wrangling, data visualization, statistical analysis, and machine learning.

See salaries and explore the career path for Compliance Analyst

Data Governance Analyst

Data Governance Analysts develop and implement data governance policies and procedures. They work on a variety of projects, such as ensuring data quality, protecting data privacy, and managing data compliance. This course can help you develop the skills you need to become a successful Data Governance Analyst, including data wrangling, data visualization, statistical analysis, and machine learning.

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Data Security Analyst

Data Security Analysts develop and implement data security policies and procedures. They work on a variety of projects, such as protecting data from unauthorized access, ensuring data confidentiality, and responding to security breaches. This course can help you develop the skills you need to become a successful Data Security Analyst, including data wrangling, data visualization, statistical analysis, and machine learning.

See salaries and explore the career path for Data Security Analyst

Data Privacy Analyst

Data Privacy Analysts develop and implement data privacy policies and procedures. They work on a variety of projects, such as protecting data from unauthorized access, ensuring data compliance, and responding to data breaches. This course can help you develop the skills you need to become a successful Data Privacy Analyst, including data wrangling, data visualization, statistical analysis, and machine learning.

See salaries and explore the career path for Data Privacy Analyst