Prescriptive Analytics Courses and Certifications

Prescriptive Analytics Project Ideation

Formulate optimization models for portfolio investment and staffing decisions, then scope a prescriptive analytics project using process maps, PICK charts, SCQ analysis, and issue trees.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Prescriptive Analytics

Build and solve linear and mixed-integer optimization models in Python with Pyomo, applying linearization, branch-and-bound, and sensitivity analysis to logistics, facility, and portfolio decisions.

• Coursera
• 6 weeks, 5 hours a week
• Self-Paced
• Paid Course

Prescriptive Analytics

Build prescriptive models in Excel: formulate linear, integer and non-linear programs, solve network flow problems, and run sensitivity analysis on business cases.

• Coursera
• 17 weeks, 2 hours a week
• Self-Paced
• Paid Course

Prescriptive Analytics

With Dartmouth Engineering, learn to transform data into actionable strategies in Prescriptive Analytics for Digital Transformation. Use Python to build and solve optimization models, tackle complex d

• edX
• 9 weeks, 3-5 hours a week
• Self-Paced
• Free Online Course (Audit)

Predictive, Prescriptive Analytics For Business Decision Making

Learn how to build Predictive and Prescriptive Models using Numerical Data

• edX
• 1 week, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Customer Analytics

18 ratings

Explore descriptive, predictive, and prescriptive customer analytics: data collection methods, regression-based prediction, optimization for pricing and revenue, and case studies from Amazon, Google, and Starbucks.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

Analytics for Decision Making

309 ratings at Coursera

Formulate decisions from data: build predictive models to estimate parameters, then apply linear optimization, advanced models, and simulation to solve constrained decision problems.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Coursera

Apply AI Techniques & Prescriptives

Apply ensemble AI techniques to business decision problems, weigh accuracy, latency and interpretability trade-offs, and optimize product mix with linear programming and weighted-scoring models.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

AI Optimization & Experimental Methods

Combine ensemble AI, linear programming, genetic algorithms, and Q-learning with propensity-score matching, causal discovery, A/B tests, and Monte Carlo simulation to build a marketing mix optimization framework.

• Coursera
• 17 weeks, 1 hour a week
• Self-Paced
• Paid Course

Operations Analytics

6 ratings

Learn to match supply with demand under uncertainty: forecast demand from historical data, build spreadsheet optimization models with Solver, run simulations, and evaluate decision trees.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

Data Analytics Foundations

118 ratings at Noble Desktop

Learn descriptive statistics, probability, correlation and regression, then forecast trends and optimize decisions with what-if analysis, Scenario Manager, Solver, pivot tables, and charts.

• Noble Desktop
• 12 hours
• Self-Paced
• $595.00

Career Certificate

Data Analytics Foundations Course Online (Self-Paced)

Build a data analytics foundation by connecting statistical analysis, forecasting, visualization, and optimization to strategic decision-making.

• Noble Desktop
• Self-Paced
• $595.00

Analytics Lifecycle & Modelling​

Learn how to prepare data, build predictive models, and use analytics techniques to support effective data-driven decision-making.

• OpenLearning
• Self-Paced
• Paid Course

Career Certificate

Data Analytics Foundations

Learn descriptive statistics, probability, regression and forecasting, then apply pivot tables, sparklines, Scenario Manager and Solver to predictive and prescriptive analytics problems.

• VDCI
• 12 hours
• Self-Paced
• $595.00

Career Certificate

Advanced Business Analytics

5274 ratings at Coursera

Extract and manipulate data with SQL, apply descriptive, predictive, and prescriptive statistical methods, and present analytic results to guide business decisions.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses