For data scientists, connecting your work to a firm's business strategy can often be difficult both in terms of the business language used by leaders and the analytical tools (and simple explanations) needed to guide their thinking. In this course, learn how to frame analytical results using strategy language so you can better connect your key outputs with the important needs of a firm's strategic thinkers and decision-makers. Dr. Paul Thurman shows you how to collaborate with business leaders to present data analytic solutions in non-scientific, business-oriented language. Learn what "strategy" means and the role data science plays, discover how to analyze a market and strategy to assess a firm's competitiveness, and put a market-tested strategy into effect with the three-pronged thinking framework of conceptual, analytical, and operational strategy.
Check out this course to help business leaders learn more from analyses and ensure your data-informed recommendations result in implementable strategies!

https://rapidgator.net/file/44ce8d86dc05f88cb13f2334f94bd0e0/Data-Informed_Strategic_Thinking_for_Senior_Analysts_and_Data_Scientists.rar.html