In this course, you’ll learn how to work with data in a business context. While the role of data scientist and data analyst is technical, you will need to collaborate effectively with non-technical coworkers. By the end, you’ll understand the key business metrics organizations use — and how to successfully communicate the results of your analysis.
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“I’ve done courses from DataCamp and Dataquest. In my opinion, Dataquest is much better because it makes you make an effort.”
In this course, you’ll learn how to respond to key business needs using data, such as understanding churned customers, pricing, customer ratings, etc. You’ll learn to work with ambiguous, imprecise, and subjective data — the “fuzzy” side of data — to present key business metrics like churn rate and net promoter score.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll also apply your skills to a guided project involving a realistic business scenario to build your portfolio and prepare for your next interview.
Resolving fuzzy language in a business context
Defining the key business metrics
Measuring business performance
Communicating with a non-technical audience
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Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our course, you'll master data skills and grow your career.
We believe so strongly in our courses that we offer a full satisfaction guarantee. If you complete a career course on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Impress employers by completing a capstone project and certifying it with an expert review.
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