Mathematics Courses and Certifications

Applied Calculus with Python

46 ratings at Coursera

Develop essential calculus concepts and apply them to solve real-world challenges using Python, covering functions, derivatives, integrals, and their practical implementations.

• Coursera
• 23 hours 4 minutes
• Self-Paced
• Paid Course

Quantitative Foundations for International Business

425 ratings at Coursera

Esencial matemático para finanzas y economía en negocios internacionales. Cubre ecuaciones, funciones, derivadas y matrices con ejercicios prácticos. Prepara para estudios avanzados y el Global MBA de la Universidad de Londres.

• Coursera
• 9 hours 52 minutes
• Self-Paced
• Paid Course

Logic for Economists

300 ratings at Coursera

Explore foundational mathematical concepts including logic, set theory, and proof techniques, enhancing analytical skills for economic reasoning and problem-solving.

• Coursera
• 7 hours 19 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modelling: Integration Applications

25 ratings at Coursera

Explore calculus applications through data and modeling, focusing on integration techniques for real-world problem-solving in areas like physics, economics, and geometry.

• Coursera
• 5 hours 32 minutes
• Self-Paced
• Paid Course

What are the Chances? Probability and Uncertainty in Statistics

18 ratings at Coursera

Explore probability, uncertainty, and statistical significance in data analysis. Learn to interpret findings, conduct hypothesis tests, and understand regression analysis for informed decision-making.

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

Infectious Disease Modeling in Practice

15 ratings at Coursera

Explore practical applications of mathematical modeling for infectious diseases, covering model principles, data integration, and use cases for control strategies, transmission rate analysis, and forecasting.

• Coursera
• 4 hours 22 minutes
• Self-Paced
• Paid Course

Introduction to Uncertainty Quantification

10 ratings at Coursera

Master the fundamentals of Uncertainty Quantification through probability theory, uncertainty propagation, surrogate modeling, reliability analysis, and Bayesian methods for mathematical and engineering systems.

• Coursera
• 1 day 5 hours 57 minutes
• Self-Paced
• Paid Course

Unzicker's Real Physics

CrashKurs Analysis

Intensiver Überblick der Analysis für das bayerische Mathematik-Abitur. Behandelt Bruchgleichungen, Ableitungen, Integrale und mehr. Ideal zur gezielten Prüfungsvorbereitung mit praktischen Tipps und Übungsbeispielen.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Career Certificate

Statistical Methods for Computer Science

5 ratings at Coursera

Master advanced probability and statistical modeling techniques for data analysis, from fundamental concepts to computational methods, using R programming for real-world applications.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Foundations of Probability and Random Variables

Master fundamental probability concepts and random variable analysis while gaining practical R programming skills for data science and statistical modeling applications.

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

Honors Algebra 2: Linear and Quadratic Functions

Master linear and quadratic functions through rigorous exploration of equations, graphing, and real-world modeling with university-level depth and mathematical reasoning.

• Coursera
• 12 hours 22 minutes
• Self-Paced
• Paid Course

Advanced Probability and Statistical Methods

Master advanced probability concepts through joint distributions, statistical testing, and Markov chains, building expertise in data analysis and statistical inference for real-world applications.

• Coursera
• 1 day 23 hours 46 minutes
• Self-Paced
• Paid Course

Business Analytics with Excel: Intermediate to Advanced

Master advanced Excel optimization techniques including linear, integer, network, and nonlinear programming with VBA macros for sophisticated business decision-making and multi-objective analysis.

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

Random Processes

Master correlation functions, spectral analysis, and Monte Carlo simulation techniques for understanding and modeling random processes in engineering systems, with focus on practical applications and data analysis.

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

Honors Algebra 2: Series, Trigonometry, and Probability

Master sequences, series, trigonometry, and probability through real-world applications, from modeling population growth to analyzing periodic patterns and quantifying uncertainty.

• Coursera
• 18 hours 24 minutes
• Self-Paced
• Paid Course