This course, Foundations of Data Science, is the initial step towards the Google Advanced Data Analytics Certificate. It is designed to prepare individuals for roles such as entry-level data scientist or advanced data analyst. Throughout the course, learners will explore the functions of data analytics and data science within organizations, the tools used by data professionals, and the value of data-based roles. Additionally, the course covers the project workflow PACE (Plan, Analyze, Construct, Execute) and its role in organizing data projects. Learners will also develop effective communication skills essential for a career in data science.
Key topics covered in this course include understanding common careers and industries that utilize advanced data analytics, investigating the impact data analysis can have on decision-making, explaining how data professionals preserve data privacy and ethics, and developing a project plan considering roles and responsibilities of team members.
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Foundations of Data Science consists of five modules that cover essential topics such as data science concepts, the impact of data analysis, career development in data analytics, and data applications and workflow.
Welcome to the Google Advanced Data Analytics Certificate. This introductory module provides an overview of the course and sets the stage for the learning journey. Learners will explore their data toolbox, engage with resources and tips, and assess their readiness for the program.
Module 2 delves into the impact of data analysis in modern business and the skills needed for a data career. It also addresses ethical considerations, data security and privacy principles, and building the perfect data team.
This module focuses on the future of data careers, professional online presence, AI tools used by data professionals, and mentorships. Learners will also learn how to prepare for the interview and build a strong professional network.
Module 4 introduces the PACE (Plan, Analyze, Construct, Execute) workflow and its importance in data science careers. It covers effective communication practices, creating project proposals, and the value of the PACE strategy document.
The final module revolves around the Course 1 end-of-course project, guiding learners through creating workplace scenarios and projects. It provides an opportunity to reflect on the learning journey and prepare for the next course.
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