What Is Data Communication? Basics to Know
November 22, 2024
Article
Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months.
Instructor: Google Career Certificates
Top Instructor
158,526 already enrolled
Included with
(4,428 reviews)
Recommended experience
Advanced level
Prior knowledge of foundational analytical principles, skills, and tools.
(4,428 reviews)
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
Add to your LinkedIn profile
Get professional training designed by Google and take the next step in your career with advanced data analytics skills. There are over 144,000 open jobs in advanced data analytics and the median salary for entry-level roles is $118,000.¹
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 completion2
¹Lightcast™ US Job Postings (Last 12 Months: 1/1/2022 – 12/31/2022)
2Based on program graduate survey, United States 2022
Applied Learning Project
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.
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
Explain how Python is used by data professionals
Explore basic Python building blocks, including syntax and semantics
Understand loops, control statements, and string manipulation
Use data structures to store and organize data
Apply the exploratory data analysis (EDA) process
Explore the benefits of structuring and cleaning data
Investigate raw data using Python
Create data visualizations using Tableau
Explore and summarize a dataset
Use probability distributions to model data
Conduct a hypothesis test to identify insights about data
Perform statistical analyses using Python
Investigate relationships in datasets
Identify regression model assumptions
Perform linear and logistic regression using Python
Practice model evaluation and interpretation
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
Create data visualizations
Explore career resources
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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
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
Illinois Tech
Degree
Heriot-Watt University
Degree · 18 months - 8 years
Illinois Tech
Degree · 12-24 months
Illinois Tech
Degree · 12-15 months
Ball State University
Degree · 24 months
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.
This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.
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.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
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.
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.
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.
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.
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.
You will practice using tools and platforms including Jupyter Notebook, Kaggle, Python, and Tableau.
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.
We highly recommend taking the seven courses in this certificate program in the order presented, as the content builds on information from earlier courses.
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.
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.
In addition to expert-led training and hands-on projects designed to prepare you for a job, you'll get access to an interview practice tool, mock interviews and resume building workshops, career coaching sessions and more. You'll also be able to connect with over 150 U.S. employers who are searching for candidates who have completed a Google Career Certificate.
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.
¹Based on program graduate survey responses, United States 2021
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.
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 policy.
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, or you can audit it to view the course materials for free. 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. Data for job roles relevant to featured programs (2/1/2024 - 2/1/2025) ² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.