
edXIntuition is seductive. But companies that win are the ones that replace intuition with evidence—mining massive datasets for patterns, testing hypotheses through controlled experiments, then acting on what the data actually says, not what seemed right in the boardroom.
This advanced course teaches the scientific method applied to business. You'll learn the methodologies data teams use, the pitfalls that trap inexperienced analysts (like confusing correlation with causation), and how to apply algorithms correctly so results aren't just statistically significant—they're genuinely actionable. Perfect for managers stepping into analytics leadership or analysts looking to sharpen their methodology.
Today, businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision-making. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses.
This course prepares students to understand business analytics and become leaders in these areas in business organizations. This course teaches the scientific process of transforming data into insights for making better business decisions. It covers the methodologies, issues, and challenges related to analyzing business data. It will illustrate the processes of analytics by allowing students to apply business analytics algorithms and methodologies to business problems. The use of examples places business analytics techniques in context and teaches students how to avoid the common pitfalls, emphasizing the importance of applying proper business analytics techniques.
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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.
