Mathematics Courses and Certifications

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves

Explore discrete and continuous random variables, their properties, and applications. Learn about joint variables, independence, and correlation. Practice with R for statistical analysis.

• edX
• 4 weeks, 6-12 hours a week
• Self-Paced
• Free Online Course (Audit)

Probability and Statistics III: A Gentle Introduction to Statistics

Explore probability distributions, statistical concepts, and estimation methods. Learn about normal distribution, Central Limit Theorem, and sampling distributions for practical applications in data analysis.

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

Probability and Statistics IV: Confidence Intervals and Hypothesis Tests

Explore confidence intervals and hypothesis testing in statistics. Learn to formulate, interpret, and apply these methodologies to various probability distributions and real-world scenarios.

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

Microcredential

Probability/Random Variables

Explore probability concepts and random variables, enhancing modeling skills for real-world applications. Learn about discrete and continuous variables, expected values, and joint distributions using R statistical package.

• edX
• 7 weeks, 6-11 hours a week
• Self-Paced
• $498.00
• 2 courses

Microcredential

Statistics, Confidence Intervals and Hypothesis Tests

Comprehensive introduction to statistical concepts, probability distributions, and methodologies like confidence intervals and hypothesis testing, with real-world applications and examples.

• edX
• 8 weeks, 6-10 hours a week
• Self-Paced
• $498.00
• 2 courses

Microcredential

Introductory Linear Algebra

Explore fundamental linear algebra concepts, from systems of equations to matrix algebra, with applications in economics and computer graphics. Develop problem-solving skills for real-world scenarios.

• edX
• 6 weeks, 5-6 hours a week
• Self-Paced
• $498.00
• 2 courses

Probability Foundations for Data Science and AI

284 ratings at Coursera

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 18 hours 21 minutes
• Self-Paced
• Paid Course

The Organic Chemistry Tutor

Mental Math Tricks - Addition, Subtraction, Multiplication & Division

3 reviews

Learn quick mental math techniques for basic arithmetic operations, enhancing calculation speed and accuracy without relying on calculators.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Survival Analysis in R for Public Health

331 ratings at Coursera

Explore survival analysis in R using real-world health data. Learn Kaplan-Meier plots, Cox regression, and model assessment techniques to predict patient outcomes and analyze time-to-event data.

• Coursera
• 11 hours 29 minutes
• Self-Paced
• Paid Course

Algebra and Differential Calculus for Data Science

264 ratings at Coursera

Learn essential algebra and calculus concepts for data science, focusing on derivatives, graphing, and function optimization. Gain a solid math foundation without unnecessary complexity.

• Coursera
• 8 hours 1 minute
• Self-Paced
• Paid Course

Microcredential

PreMBA Essentials for Professionals

3 reviews

Gain essential quantitative and analytical skills in accounting, finance, math, and data analysis to excel in business and prepare for MBA studies. Personalized learning plans and real-world examples enhance your expertise.

• edX
• 24 weeks, 2-5 hours a week
• Self-Paced
• $396.00
• 4 courses

Probability and Statistics for Business and Data Science

7976 ratings at Udemy

Learn how to apply probability and statistics to real data science and business applications!

• Udemy
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Become a Linear Algebra Master

7684 ratings at Udemy

Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions

• Udemy
• 15 hours 53 minutes
• Self-Paced
• Paid Course

Coursera

Linear Regression with Python

438 ratings at Coursera

Implement Linear Regression using Python and Numpy, focusing on practical aspects like optimization algorithms and training processes. Gain hands-on experience in fundamental machine learning concepts.

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

Statistics: Unlocking the World of Data

2 reviews

Explore the ideas and methods behind the statistics you encounter in everyday life.

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