edX
edXData Analytics for Digital Transformation
783 studentsBEGINNEREnglish
Korshub's take
The Skill Stack Builds Gradually
Start with predictive analytics—turning historical data into forecasts using Python. Progress to simulation with SimPy, which lets you model complex workflows. Then prescriptive optimization using Pyomo shows you how to actually _solve_ problems, not just describe them.
Why Companies Pay for This
The course doesn't stop at theory. Real-world applications span resource allocation, customer experience design, and workflow optimization. You'll see how these three techniques chain together to drive actual business transformation. This is the analyst-to-strategist bridge most training skips.
About this course
Predictive Analytics: Build and validate models to turn data into actionable insights using Python and cloud tools. ,Simulation Skills: Use discrete event simulation with SimPy to optimize workflows and manage uncertainty. ,Optimization Techniques: Solve complex problems with Pyomo, using linear and mixed-integer models for better decision-making. ,Data-Driven Strategies: Combine predictive, simulation, and prescriptive analytics to drive impactful digital transformations. ,Practical Applications: Apply analytics skills to real-world challenges, from resource allocation to improving customer experiences.
Price
$477
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