Coursera

Foundations of Data Science (Coursera)

Offered by Google,
Foundations of Data Science (Coursera)

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.

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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:
-Describe the functions of data analytics and data science within an organization
-Identify tools used by data professionals
-Explore the value of data-based roles in organizations
-Investigate career opportunities for a data professional
-Explain a data project workflow
-Develop effective communication skills
This course is part of the Google Advanced Data Analytics Professional Certificate.

Syllabus

WEEK 1
Introduction to data science concepts
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.

WEEK 2
The impact of data today
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.

WEEK 3
Your career as a data professional
You’ll identify the skills data professionals use to analyze data. You'll also explore how data professionals collaborate with teammates.

WEEK 4
Data applications and workflow
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.

WEEK 5
Course 1 end-of-course project
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.

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