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Hello again!
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Let's discuss some of the course items
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you'll encounter in your learning journey.
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In this program, you'll code in Python,
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discover the stories that data holds,
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develop data visuals,
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use statistical tools, build models,
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and even dabble with
some machine learning!
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Along the way you'll build a portfolio
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full of data projects,
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in addition to this program's capstone.
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Whether you're looking to switch careers,
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start a new career, improve your skills,
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or advance beyond your
current role in a company,
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the Google Career Certificates
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can help guide you as you take steps
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towards new opportunities.
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We've gathered some amazing instructors
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to support you on your journey
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and they'd like to
introduce themselves now:
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Hello!
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I'm Adrian and I am a
Customer Engineer at Google.
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Together we will explore
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one of the fastest growing
programming languages, Python.
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You'll learn the basics,
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which will help you write scripts
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that perform a number
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of key mathematical
operations on datasets,
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all designed to help you
unlock the stories within data.
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Hi there!
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I'm Robb.
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I am a Consumer Product Leader.
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I work on marketing
projects here at Google.
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I'm excited to talk to you about
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how to tell stories using data.
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We'll discuss the six practices
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of exploratory data analysis
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and how to identify the trends
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and patterns in it.
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We will also learn about the importance
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of designing and presenting
data visualizations
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using Python and Tableau,
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which can help you understand your data
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and convey it to others.
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Hello!
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My name is Evan.
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I'm an Economist
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and I consult with various
teams across at Google.
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Statistics helps you
generate more complex ideas
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from the data itself.
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In our time together,
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you'll discover how you
can generate insights,
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draw conclusions, make inferences,
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create estimates, and make predictions.
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Hello!
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I'm Tiffany, and I'm a
Marketing Science Lead,
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and I work with marketing
data here at Google.
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I will guide you through
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the process of modeling
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relationships between variables.
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Together, we'll explore different
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regression models and hypothesis tests.
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We'll also talk about model
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assumptions, construction, evaluation,
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and interpretation as the means
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for answering data-driven questions.
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Hello!
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I'm Susheela.
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I'm a Data Scientist
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and I work on projects for
YouTube here at Google.
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I will guide you through building systems
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that can learn and adapt without
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a specific set of instructions.
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We'll discuss how machine learning
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is transforming the
process of data analysis –
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as you construct your own models.
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Hello!
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I'm Tiffany,
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and I lead teams focused on building
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AI responsibly here at Google.
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I'll introduce you to career resources
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and portfolio projects,
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and guide you through the capstone course
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at the end of the program.
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I'll assist you with
different opportunities
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and tools that will set you up
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for success on the job market.
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And of course, you already know
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I'll be guiding you through course one.
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This is such a great time to grow
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and advance your career
as a data professional.
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Your path to a career full
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of new opportunities awaits!6204
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