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
212,775 already enrolled
(3,074 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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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 videos10 readings2 assignments3 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 assignments2 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 readings3 assignments
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 assignments2 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 assignments
Instructor

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Reviewed on Dec 1, 2023
Amazing! After completing this course I realised how important communication for a data science project is and how its equally an important skill to learn.
Reviewed on May 9, 2024
This course is more than just training a few tools. Rather, it helps to have a proper view of the principles of managing and advancing a data-related project.
Reviewed on Aug 29, 2023
It's very useful course, I learned a lot about data science and data professionals' careers, it's very comprehensive introduction for data science and I am highly recommended.
Recommended if you're interested in Data Science
University of London
Google

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