This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects.



Foundations of Data Science
This course is part of Google Advanced Data Analytics Professional Certificate

Instructor: Google Career Certificates
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Access provided by New York State Department of Labor
202,150 already enrolled
(2,959 reviews)
What you'll learn
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
Skills you'll gain
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19 quizzes, 1 assignment
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There are 5 modules in this course
You’ll begin with an introduction to the Google Advanced Data Analytics Certificate. Then, you'll explore the history of data science and ways that data science helps solve problems today.
What's included
7 videos9 readings2 quizzes3 plugins
Now that you’re more familiar with the history of data science, you’re ready to explore today’s data career space. You’ll learn more about how data professionals manage and analyze their data, as well as how data-driven insights can help organizations.
What's included
8 videos9 readings5 quizzes2 plugins
You’ll identify the skills data professionals use to analyze data. You'll also explore how data professionals collaborate with teammates.
What's included
9 videos6 readings2 quizzes1 assignment
You’ll learn about the PACE (Plan, Analyze, Construct, Execute) project workflow and how to organize a data project. You’ll also learn how to communicate effectively with teammates and stakeholders.
What's included
7 videos9 readings6 quizzes2 plugins
You’ll complete an end-of-course project, gaining an opportunity to apply your new data skills and knowledge from Course 1 to a workplace scenario, and practice solving a business problem.
What's included
4 videos11 readings4 quizzes
Instructor

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2,959 reviews
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Reviewed on Dec 16, 2023
Excellent. The way you designed the course, the way you presented the course, the way you made us to walk-through the course - is simple excellent.
Reviewed on Feb 6, 2025
Best course to kick start your career as a data analyst or other job role related to data, AI and ML. Well taught and best suited for startees and beginners.
Reviewed on Feb 4, 2024
If you are new to the industry and you are looking for a general knowledge this course will open up your horizon on getting to more about data science.
Recommended if you're interested in Data Science
University of London
Google


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