What will you learn in Foundations of Data Science Course
Grasp the evolving role of data science and analytics in organizations.
Identify the tools used by data professionals (e.g., Python, R, SQL, visualization).
Explore career pathways and core responsibilities of data scientists and analysts.
Learn the PACE project workflow (Plan, Analyze, Construct, Execute) for structuring data work.
Program Overview
Module 1: Introduction to Data Science Concepts
⏳ ~2 hours
Topics: Course orientation, history & impact of data science, definitions, and use‑cases.
Hands-on: Videos, readings, and assignments to assess readiness and reflect on scope.
Module 2: The Impact of Data Today
⏳ ~3 hours
Topics: Career roles, organizational data usage, ethical considerations, necessary skills.
Hands-on: Quizzes, team activities, and practical case study exercises.
Module 3: Your Career as a Data Professional
⏳ ~2 hours
Topics: Skill sets, collaboration techniques, AI assistants, and teamwork tools.
Hands-on: Assignments like writing prompts for Gemini and career trajectory planning.
Module 4: Data Applications & Workflow
⏳ ~4 hours
Topics: PACE framework, communication, planning analytics projects.
Hands-on: Activities focused on stakeholder mapping, roadmaps, and early project designs.
Module 5: Capstone Project
⏳ ~3 hours
Topics: Apply all concepts in a mini BI project.
Hands-on: Submit a project plan, stakeholder documentation, and project communication deliverables.
Get certificate
Job Outlook
Sets up roles like entry‑level Data Scientist, Advanced Data Analyst, or Data Science Intern.
Serves as foundational work in Google’s Advanced Data Analytics Certificate, ideal for data-centric careers.
Specification: Foundations of Data Science
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