Introduction to data science concepts-Get started with the certificate program
Welcome to the Google Advanced Data Analytics Certificate
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Google Advanced Data Analytics Certificate overview
Course 1 overview
Introduction to Course 1
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Helpful resources and tips
Introduction to data science concepts-Careers in data science
Welcome to module 1
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Data discourse over the years
Explore your data toolbox
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Prepare to assess your readiness for the Google Advanced Data Analytics Certificate
Understand your readiness score
Introduction to data science concepts-Program plan and expectations
Wrap-up
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Participate in program surveys
Engage with other learners
Lois-An: Navigate your data career with curiosity
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Connect with other learners
Introduction to data science concepts-Review: Introduction to data science concepts
Prepare for your first assessment
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Glossary terms from module 1
The impact of data today-Data-driven careers
Welcome to module 2
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Adrian: Create a data-driven business solution
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Data-driven careers drive modern business
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Profiles of data professionals
Where data makes a difference for the future
Leverage data analysis in nonprofits
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The impact of data today-Data career skills
The top skills needed for a data career
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Ideal qualities for data analytics professionals
Volunteer data skills to make a positive impact
Important ethical considerations for data professionals
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Critical data security and privacy principles
The practices and principles of good data stewardship
The impact of data today-Work in the field
The data professional career space
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Build the perfect data team
Activity Exemplar: Organize your data team
The impact of data today-Review: The impact of data today
Wrap-up
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Glossary terms from module 2
Your career as a data professional -Trajectory of the Field
Welcome to module 3
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Cassie: A lifelong love of data
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The future of data careers
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Current and future tools
How data professionals use AI
The places you’ll go…
Your career as a data professional -Data Professional Career Resources
Tiffany: Advice for job seekers
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Build a professional online presence
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Strengthen professional relationships
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Make the most out of mentorships
Prepare for your job search
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Daisy: Highlight both technical and people skills
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Showcase your skills: How to prepare for the interview
Your career as a data professional -Review: Your career as a data professional
Wrap-up
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Glossary terms from module 3
Data applications and workflow-The data project workflow
Welcome to module 4
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Hautahi: Importance of communication in a data science career
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Introduction to PACE
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The PACE Stages
Data applications and workflow-Elements of communication
Key elements of communication
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Best communication practices for data professionals
Activity Exemplar: Communicate with stakeholders in different roles
Communication drives PACE
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Elements of successful communication
Data applications and workflow-Communicate like a data professional
Connect PACE with upcoming course themes
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The value of the PACE strategy document
Communicate objectives with a project proposal
Connect PACE with executive summaries
Activity Exemplar: Create a project proposal
Data applications and workflow-Review: Data applications and workflow
Wrap-up
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Glossary terms from module 4
Course 1 end-of-course project-Begin building a portfolio to impress
The value of a portfolio
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Introduction to your Course 1 end-of-course portfolio project
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End-of-course portfolio project introduction
Explore your Course 1 workplace scenarios
Course 1 end-of-course project-Automatidata scenario
Course 1 end-of-course portfolio project overview: Automatidata
Activity Exemplar: Create your Course 1 Automatidata project
Course 1 end-of-course project-TikTok scenario
Course 1 end-of-course portfolio project overview: TikTok
Activity Exemplar: Create your Course 1 TikTok project
Course 1 end-of-course project-Waze scenario
Course 1 end-of-course portfolio project overview: Waze
Activity Exemplar: Create your Course 1 Waze project
Course 1 end-of-course project-End-of-course portfolio project wrap-up
End-of-course project wrap-up and tips for ongoing career success
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Course 1 glossary
Course 1 end-of-course project-Course review: Foundations of Data Science
Course wrap-up
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Get started on the next course