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Overview Google Advanced Data Analytics Professional Certificate Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months. Earn a career credential that demonstrates your expertise. 4.8 from 10,485 reviews of courses in this program.

Advanced level. Recommended experience. Recommended experience Advanced level Prior knowledge of foundational analytical principles, skills, and tools.

Explore the roles of data professionals within an organization Create data visualizations and apply statistical methods to investigate data Build regression and machine learning models to analyze and interpret data Communicate insights from data analysis to stakeholders See how employees at top companies are mastering in-demand skills Receive professional-level training from Google Demonstrate your technical proficiency Earn an employer-recognized certificate from Google Qualify for in-demand job titles: senior data analyst, junior data scientist, data science analyst CA$79,187 median entry-level salary for Data Analyst1 6,990 job openings for Data Analyst in Canada1 Professional Certificate - 7 course series Get professional training designed by Google and take the next step in your career with advanced data analytics skills. There are over 84,000 open jobs in advanced data analytics with a median salary of $134,000 in the U.S.1 Advanced data professionals are responsible for collecting, analyzing, and interpreting extremely large amounts of data. These jobs require manipulating large data sets and using advanced analytics including machine learning, predictive modeling, and experimental design.

This certificate builds on your data analytics skills and experience to take your career to the next level. It's designed for graduates of the Google Data Analytics Certificate or people with equivalent data analytics experience. Expand your knowledge with practical, hands-on projects, featuring Jupyter Notebook, Python, and Tableau.

After seven courses, you'll be prepared for jobs like senior data analyst, junior data scientist, data science analyst, and more. At under 10 hours a week, the certificate program can be completed in less than six months. Upon completion, you can apply for jobs with Google and over 150 U.S.

employers, including Deloitte, Target, and Verizon. 75% of certificate graduates report a positive career outcome (e.g., new job, promo or raise) within six months of completion 2 2 Based on program graduate survey, United States 2022 This program includes over 200 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world advanced data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in advanced data analytics and data science.

Through a mix of videos, assessments, and hands-on labs, you'll get introduced to advanced data analytics tools and platforms and key technical skills required for an advanced role. Platforms and tools you will learn include: Jupyter Notebook, Python, Tableau In addition to expert training and hands-on projects, you'll complete a capstone project that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.

What you will learn and do Understand common careers and industries that use advanced data analytics Investigate the impact data analysis can have on decision-making Explain how data professionals preserve data privacy and ethics Develop a project plan considering roles and responsibilities of team members Apply the exploratory data analysis (EDA) process Explore the benefits of structuring and cleaning data Use probability distributions to model data Conduct a hypothesis test to identify insights about data Perform statistical analyses using Python Skills you\'ll gain Category: Statistical Hypothesis Testing Perform linear and logistic regression using Python Practice model evaluation and interpretation Category: Regression Analysis Category: Regression Analysis Regression Analysis Category: Logistic Regression Category: Logistic Regression Logistic Regression Category: Statistical Hypothesis Testing Identify characteristics of the different types of machine learning Prepare data for machine learning models Build and evaluate supervised and unsupervised learning models using Python Demonstrate proper model and metric selection for a machine learning algorithm Examine data to identify patterns and trends Build models using machine learning techniques Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer. Keep your applications organized with Google Sheets. Build a stand out resume and a step-by-step job search plan—with help from Gemini.

Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live. Earn a career certificate Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.1 1Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have.

Click on a specific course for more information. 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.

Why people choose Coursera for their career Learner since 2018 "To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood." Jennifer J. Learner since 2020 "I directly applied the concepts and skills I learned from my courses to an exciting new project at work." Learner since 2021 "When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go." "Learning isn't just about being better at your job: it's so much more than that.

Coursera allows me to learn without limits." Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription Advance your career with an online degree Earn a degree from world-class universities - 100% online Join over 3,400 global companies that choose Coursera for Business Upskill your employees to excel in the digital economy This course is completely online, so there's no need to show up to a classroom in person. You can access videos, readings, hands-on activities, and assessments anytime and anywhere via the internet, on a computer, or mobile device. What is advanced data analytics ?

Advanced data analytics (also known as data science) uses math and statistics, programming, artificial intelligence (AI), and machine learning to uncover insights within an organization's data. These insights can be used to guide the organization's decision making and strategic planning. What kind of companies hire advanced data professionals?

Organizations of all kinds need data professionals to investigate and find stories in data. Advanced data analytics and data science jobs exist in varied industries, from technology to finance to entertainment. How much does this certificate cost?

In the U.S. and Canada, Coursera charges $49 per month after the initial 7-day free trial period. The Google Advanced Data Analytics Certificate can be completed in less than 6 months at under 10 hours per week of part-time study, so most learners can complete the certificate for less than $300 USD.

In other countries where Google Career Certificates are available, your cost may be lower. Is this program offered in other languages? This certificate is currently available globally in English.

We are working on adding more languages soon. Some tools - like the employer consortium - are only available in the United States at this time. Please check back here for updates.

What tools and platforms are taught in the curriculum? You will practice using tools and platforms including Jupyter Notebook, Kaggle, Python, and Tableau. What background knowledge is necessary?

This program assumes prior knowledge of foundational analytical principles, skills, and tools. These include data types, data strategy, data integrity, data cleaning, data aggregation, data analysis, and best practices when information-sharing. It also requires an understanding of spreadsheets, databases and structured query language, programming concepts, data visualization, and dashboards.

This advanced certificate builds on your data analytics skills and experience to help you take your career to the next level. It's designed for people working in the field of data analytics or for those with foundational skills from the Google Data Analytics Certificate or a similar program. Do I need to take the courses in a specific order?

We highly recommend taking the courses in this certificate program in the order presented, as the content builds on information from earlier courses. Which jobs does this program prepare for? After graduating from this certificate program, you will be prepared for job titles like senior data analyst, data analyst II, associate data scientist, junior data scientist, data analytics scientist, data science analyst, and data analytics consultant.

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. Senior data analysts and data scientists are responsible for collecting, analyzing, and interpreting large amounts of data within a variety of different organizations.

These roles require more advanced analytical skills such as data manipulation, experimental design, predictive modeling, and machine learning. What will I be able to do upon completing the professional certificate? Google Career Certificates are designed to prepare you for an entry-level role in job fields like data analytics, digital marketing & e-commerce, IT support, project management, and UX design.

Advanced Google Career Certificates go deeper in these fields, build on your foundational skills, and are designed to take your career to the next level. Upon completion of an advanced Google Career Certificate, like this one, certificate graduates in the U.S. will have the option to share their information with top U.S.

employers that are hiring professionals, like Deloitte, Target, Verizon, and of course, Google. Employer consortiums are currently available in the U.S., Canada, India, Singapore, Indonesia and are coming to more countries soon. The employers included will vary by country.

What resources will be available to help with the job search process? In addition to expert-led training and hands-on projects designed to prepare you for a job, you now have exclusive access to a bonus course: Accelerate Your Job Search with AI. This course is designed to help you navigate the path to your next role more efficiently and confidently.

Why did Google create this program? Google had long faced an issue that many other companies also contend with: We had open IT support roles, but not enough qualified candidates to fill them. So we built and tested a training program to provide pathways to jobs in technical support at Google for people with no college degree or experience.

In 2018, Google launched the IT Support Certificate so that this training could be available to everyone. Since then, thousands of people have completed the program. In the United States, 75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion.1 When we saw the positive impact this program was having on people all over the world, we expanded into additional fast-growing, high-paying career fields: cybersecurity, data analytics, digital marketing & e-commerce, project management and UX design.

Built and taught by Google, these certificates prepare people from all backgrounds for jobs in fields with great demand for qualified candidates. No degree or previous experience is required. Graduates get the chance to connect directly with over 150 U.S.

employers who are accepting Google Career Certificates for open jobs. 1Based on program graduate survey, United States, 2022. Can I get college credit for taking the Advanced Data Analytics Certificate?

Those planning to attend a degree program can utilize ACE recommendations or ECTS recommendations, the industry standard for translating workplace learning to college credit. Learners can earn an ACE recommendation of up to 9 college credits, or 8 ECTS credits, for completing the Advanced Data Analytics Certificate. This aims to help open up additional pathways to learners who are interested in higher education, and prepare them for entry-level jobs.

To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE or ECTS credit recommendation. Once claimed, they will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.

Can I just enroll in a single course? Yes! To get started, click the course card that interests you and enroll.

You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Certificate, you're automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.

1 Median salary and job opening data are sourced from Lightcast Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024). All other job roles (3/1/2025 - 3/1/2026).

2 Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduat...