Optimization and Prescriptive Analytics -Mastering Decision Science
in Data Science , Data Analytics and Big DataWhat you will learn?
Apply optimization techniques for better decision-making
Develop & solve LP & IP models using Excel, Python, & Solver.
Perform sensitivity analysis & interpret dual values
Solve real-world business, finance, & operations problems.
About this course
✅ About this Course
• Learn optimization techniques & prescriptive analytics to make data-driven decisions.
• Master Linear Programming (LP), Integer Programming (IP), & Multi-Criteria Optimization.
• Hands-on projects & real-world applications in business, supply chain, finance, & operations.
✅ Course Overview
• A structured self-paced program covering essential optimization & decision science concepts.
• Learn to solve complex business problems using mathematical models & analytics tools.
• Practical applications with case studies & hands-on exercises.
✅ Course Curriculum & Modules
• Week 1: Prescriptive Analytics & Linear Programming
• Week 2: Sensitivity Analysis & Duality
• Week 3: LP Formulations & Applications
• Week 4: Integer Programming (IP)
• Week 5: Multi-Criteria Optimization
✅ What You Will Learn
• Apply optimization techniques for better decision-making.
• Develop & solve LP & IP models using Excel, Python, & Solver.
• Perform sensitivity analysis & interpret dual values.
• Solve real-world business, finance, & operations problems.
✅ Learning Objective
• Build expertise in prescriptive analytics & mathematical modeling.
• Gain problem-solving skills using linear & integer programming.
• Master multi-criteria optimization & decision science.
✅ Course Features & Benefits
• Self-paced learning with lifetime access.
• Hands-on projects & real-world case studies.
• Industry-relevant curriculum designed by experts.
• Certification to boost your career.
✅ Who This Course is For
• Students & professionals looking to upskill in analytics & optimization.
• Business analysts, data scientists, engineers, & finance professionals.
• Anyone interested in mathematical modeling & decision science.
✅ Skills Covered
• Linear & Integer Programming (LP & IP)
• Sensitivity Analysis & Duality
• Multi-Criteria Optimization
• Decision Science & Business Analytics
✅ Special Benefits to Students for Enrolling Now
• Access to exclusive webinars & expert mentorship.
• Industry case studies & practical assignments.
• Flexible payment options, including No Cost EMI.
✅ Exclusive Complimentary Benefit: One-on-One Expert Interaction
• Personalized mentorship sessions with industry experts.
• Career guidance & resume-building assistance.
✅ Course Certificate Advantage
• Earn a recognized certification to boost your job prospects.
• Showcase expertise in optimization & prescriptive analytics.
✅ Books & Reference
• Recommended books on Optimization, Operations Research, & Analytics.
• Online resources & toolkits for practical applications.
✅ Top Indian Companies Hiring with These Certifications & Skillsets
• TCS, Infosys, Wipro, Deloitte, EY, KPMG, Accenture, McKinsey, Goldman Sachs, Flipkart.
• High-demand roles in Data Science, Business Analytics, Operations Research, & Strategy.
🚀 Upskill today & advance your career in data-driven decision-making! 🚀
Suggested by top companies
Top companies suggest this course to their employees and staff.
Requirements
Basic Technology and Internet Access - A stable internet connection and the ability to use online learning platforms are essential. Students should be comfortable with navigating the course platform, accessing videos, downloading materials, and completing assessments.
Comments (0)
Descriptive Analytics analyses past data to understand trends present in the data to answer what happened. Predictive Analytics techniques will predict what will happen to key performance indicators in the future. Prescriptive Analytics assists the decision maker to identify the best action (optimal solution), given the problem context. That is, prescriptive analytics, as the name suggests, prescribes the best solution or decision/action for the problem. Note that decisions or actions can be derived based on descriptive and predictive analytics as well. For example, using predictive analytics, a retailer such as Amazon and Flipkart can predict what a customer is likely to buy in the future and design product recommendations. The difference between decisions arrived at using descriptive/predictive analytics and prescriptive analytics is that the prescriptive analytics algorithm tries to arrive at the best decision (optimal solution) based on an objective function (sometimes more than one objective function) and a list of constraints.
Operations research techniques such as linear programming, integer programming, goal programming, non-linear programming, and meta-heuristics are used for prescribing an optimal solution to a problem. A few big data problems originated from optimization problems. For example, the travelling salesman problem (TSP) is one of the most difficult problems which is encountered by organizations such as online retailers, logistic service providers, and even electronic parts manufacturers. Prescriptive analytics models attempt to solve complex optimization problems of the modern era.
