Optimization & Operations Research Courses and Certifications

Career Certificate

Introduction to SciPy

Master optimization, calculus, statistics, and curve fitting using SciPy through hands-on projects and real-world data challenges across five comprehensive modules.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate
• 5 courses

Optimization with SciPy

Master SciPy's optimize module to solve optimization problems, implement algorithms, and efficiently tackle both single and multivariable functions with constraints in Python.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Curve Fitting with SciPy

Explore SciPy's curve fitting capabilities to model data effectively, mastering essential functions, algorithms, and techniques for precise data analysis in Python.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Advanced Neural Tuning

Master advanced neural network optimization through learning rate scheduling, optimizer comparison, and Xavier weight initialization techniques.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Regression and Gradient Descent

Master regression algorithms and gradient descent by building them from scratch, covering linear and logistic regression without relying on high-level libraries.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

Transcribing Videos with OpenAI GPT-4o Mini in Java

Unlock video transcription mastery in Java with OpenAI GPT-4o mini, covering API integration, audio processing, large file handling, and advanced optimization techniques.

• CodeSignal
• 6 hours
• Self-Paced
• Free Certificate
• 4 courses

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

Advanced Algorithms and Complexity

701 ratings at Coursera

Explore advanced algorithms for network flows, linear programming, NP-complete problems, and streaming. Learn to solve complex computational challenges and optimize real-world systems efficiently.

• Coursera
• 1 day 3 hours 15 minutes
• Self-Paced
• Paid Course

Probabilistic Graphical Models 3: Learning

305 ratings at Coursera

Learn to build probabilistic graphical models from data, covering parameter estimation, structure learning, and handling incomplete data. Explore advanced techniques for both directed and undirected models.

• Coursera
• 66 hours
• Self-Paced
• Paid Course

Practical Predictive Analytics: Models and Methods

323 ratings at Coursera

Explore statistical experiment design, analytics, and machine learning methods. Learn to design experiments, analyze results, and apply classification and unsupervised learning techniques to solve real-world problems.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Experimentation for Improvement

937 ratings at Coursera

Learn efficient experimentation techniques to optimize systems using multiple variables. Gain practical skills for planning and analyzing experiments in various fields, using simple tools and free software.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Calculus through Data & Modeling: Applying Differentiation

60 ratings at Coursera

Apply differentiation to optimize functions, estimate complex equations, and solve real-world problems in data analysis, machine learning, and business through linear approximations and multivariable calculus techniques.

• Coursera
• 7 hours 6 minutes
• Self-Paced
• Paid Course

Advanced Business Analytics: Excel Optimization & Simulation

53 ratings at Coursera

Master advanced Excel modeling techniques for business optimization, from linear programming and sensitivity analysis to simulation methods for data-driven decision-making and strategic problem-solving.

• Coursera
• 14 hours 6 minutes
• Self-Paced
• Paid Course

Career Certificate

Foundations of Neural Networks

24 ratings at Coursera

Master advanced neural network concepts, from foundational theory to practical implementation in Python, while exploring ethical considerations in AI system development.

• Coursera
• 12 weeks, 4 hours/week
• Self-Paced
• Paid Course
• 3 courses

Foundational Mathematics for AI

10 ratings at Coursera

Gain insights into essential mathematical concepts powering AI - from functions and matrices to calculus and probability - with practical applications in machine learning and data analysis.

• Coursera
• 2 days 1 hour 8 minutes
• Self-Paced
• Paid Course