
edXThis course structures your journey into data analytics around three decisions: Learn from data (identify what signals matter), Plan with data (diagnose what's working and what isn't), and Thrive through data (build a repeatable strategy).
You'll discover the four flavors of analytics—descriptive (what happened?), diagnostic (why?), predictive (what will?), and prescriptive (what should?)—and learn which one fits your question. The course also maps the data ecosystem: what roles organizations need, how team size and maturity shape analytics investment, and how to avoid the common trap of collecting data without a purpose.
By the end, you'll have a step-by-step process to make your organization genuinely data-driven.
Learn to harness the power of data analytics and understand just how much being data-led can benefit your career and your business.
This course will help you discover how vital data analytics is to any organization. You will identify the key components of the data analytics ecosystem including the different types of data analytics: descriptive, diagnostic, predictive, and prescriptive. You’ll also learn about the different data skill sets and data hires that are needed according to an organization’s size, goals, and data maturity.
No matter your level of technical expertise, you will come away from this course equipped with a step-by-step process of how to create your own data analytics and business strategy.
Learn from data
Identify key components of the data analytics ecosystem and understand how data connects - well, everything.
Plan with data
Effectively diagnose the pits and peaks of your workflows, and how to optimize them through data.
Thrive through data
Come away equipped with a step-by-step process of how to create and apply a data-driven business strategy.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.