Mathematics Courses and Certifications

Microcredential

Statistics and Applied Data Analysis

46 ratings at Coursera

Master statistical concepts from basics through advanced analysis, using Excel and R for data visualization, hypothesis testing, and predictive modeling across three progressive levels.

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

Master statistics & machine learning: intuition, math, code

2956 ratings at Udemy

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.

• Udemy
• 1 day 14 hours 21 minutes
• Self-Paced
• Paid Course

Causal Inference Project Ideation

Master causal inference through field experiments and A/B testing, exploring ethical considerations, designing randomized trials, and analyzing observational data for data-driven organizational decision-making.

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

Decision Making with Probability & Statistics, Do it Right.

2980 ratings at Udemy

For Good, Data driven Business Decision-Making : Avoid Probability and Statistics Misconceptions and Mistakes.

• Udemy
• 2 hours 54 minutes
• Self-Paced
• Paid Course

Master Math by Coding in Python

2941 ratings at Udemy

Embark on a Python journey to learn a multitude of math essentials including linear algebra, calculus, trig, and more

• Udemy
• 1 day 13 hours 17 minutes
• Self-Paced
• Paid Course

Modern Regression Analysis in R

37 ratings at Coursera

Foundational statistical modeling tools for data science, covering linear models, parameter estimation, diagnostics, and ethical implications. Practical skills in R for regression analysis and model selection.

• Coursera
• 1 day 21 hours 27 minutes
• Self-Paced
• Paid Course

Microcredential

From Data To Decision With AI

34 ratings at Coursera

Master statistical analysis and data interpretation using AI as your guide, from basic research formulation to predictive modeling - no coding required.

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

Microcredential

Statistics for Business Analytics

Learn to leverage data for informed business decisions. Master probability, sampling, and forecasting techniques to extract actionable insights from complex datasets and drive strategic outcomes.

• edX
• 18 weeks, 4-8 hours a week
• Self-Paced
• $617.00

Mathematical Methods for Data Analysis

6 ratings at edX

Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.

• edX
• 8 weeks, 6-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Python for Statistical Analysis

2803 ratings at Udemy

Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries

• Udemy
• 8 hours 40 minutes
• Self-Paced
• Paid Course

Microcredential

SAS Statistical Business Analyst

228 ratings at Coursera

Enhance predictive and statistical modeling skills to drive data-informed business outcomes. Learn hypothesis testing, regression modeling, and logistic regression using SAS software.

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

Calculus I: From Functions to Differential Equations

27 ratings at edX

Refresh and review your bachelor-level calculus. This course covers all the various differentiation and integration techniques and guides you through several important methods for solving differential equations.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Discrete Math for Computer Science - Logic & Set Theory

Master propositional and predicate logic, set theory, and formal reasoning to build mathematical foundations essential for algorithm design and program correctness.

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

Microcredential

Discrete Mathematical Tools for Computer Science

Master discrete mathematics fundamentals for computer science: logic, counting, algorithms, recursion, and probability through rigorous problem-solving and proofs.

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

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