Mathematics Courses and Certifications

Discrete Math for Computer Science - Algorithms & Recursion

Master number theory, cryptography, and recursive algorithms while analyzing efficiency through mathematical induction and asymptotic notation.

• Coursera
• 13 hours 44 minutes
• Self-Paced
• Paid Course

Discrete Math for Computer Science - Counting & Probability

Master combinatorial counting and probability theory to analyze algorithms, model uncertainty, and solve complex computational problems with systematic mathematical precision.

• Coursera
• 14 hours 21 minutes
• Self-Paced
• Paid Course

From Data to Decisions: Making Predictions with AI

18 ratings at Coursera

Master predictive analytics using AI tools to run regression models, interpret statistical outputs, and transform raw data into actionable business insights and accurate forecasts.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistical Learning for Data Science

21 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours/week
• Self-Paced
• Paid Course
• 3 courses

Regression and Classification

16 ratings at Coursera

Explore statistical modeling concepts, including regression, classification, and unsupervised techniques. Learn when to use specific models, how to tune them, and understand trade-offs for informed decision-making.

• Coursera
• 1 day 10 hours 50 minutes
• Self-Paced
• Paid Course

Math for MBA and GMAT Prep

52 ratings at Coursera

Comprehensive statistics and math refresher for MBA aspirants, covering Excel tools, business concepts, and data analysis techniques.

• Coursera
• 12 hours 54 minutes
• Self-Paced
• Paid Course

Competitive Programming Essentials, Master Algorithms

2656 ratings at Udemy

Master competitive coding techniques - maths, number theory, dynamic programming, advanced data structures & algorithms

• Udemy
• 2 days 8 hours 42 minutes
• Self-Paced
• Paid Course

Discrete-Time Markov Chains and Monte Carlo Methods

13 ratings at Coursera

Explore discrete-time Markov chains, Monte Carlo methods, and their applications in AI, reinforcement learning, and stochastic simulation with mathematical rigor.

• Coursera
• 1 day 8 hours 32 minutes
• Self-Paced
• Paid Course

Statistics for Data Analysis Using R

2644 ratings at Udemy

Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

• Udemy
• 12 hours 26 minutes
• Self-Paced
• Paid Course

Special Relativity

4 ratings

Einstein’s Special Relativity upended our understanding of space, time and energy. While the ideas are subtle, they only require high school algebra, so join this math-based introduction with acclaimed physicist and author, Brian Greene.

• World Science U
• Self-Paced
• Free Online Course

Measurement Systems Analysis

10 ratings at Coursera

Analyze measurement systems for process stability and capability, covering continuous and discrete data analysis, ANOVA, correlation, and decision-making for process improvement using R software.

• Coursera
• 16 hours 56 minutes
• Self-Paced
• Paid Course

Regression Analysis

10 ratings at Coursera

Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.

• Coursera
• 1 day 16 hours 1 minute
• Self-Paced
• Paid Course

Statistics and data literacy for non-statisticians

2487 ratings at Udemy

Learn the key terms and analysis methods in statistics

• Udemy
• 1 hour 37 minutes
• Self-Paced
• Free Online Course

Resampling, Selection and Splines

Explore advanced statistical learning techniques for data science, including resampling methods, model optimization, and non-linear approaches to enhance prediction accuracy and interpretability.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Modeling Climate Anomalies with Statistical Analysis

Learn to model climate data using statistical analysis in Python, covering data visualization, predictive modeling, and regression techniques with emphasis on practical application to climate datasets.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course