Mathematics Courses and Certifications

Probability Theory and Regression for Predictive Analytics

Master probability theory and regression techniques to build predictive models using Python, covering Bayes' Theorem, distributions, OLS, and advanced regression methods.

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

Introduction to Statistics for Data Science using Python

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis.

• edX
• 4 weeks, 3-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Math for Kids

Improve arithmetic, algebra, and geometry skills through fun lessons and quizzes. Ideal for exam preparation and reinforcing classroom learning for elementary school students.

• Study.com
• 1 day 19 hours 20 minutes
• Self-Paced
• Paid Course

Geometry: High School

Comprehensive review of high school geometry topics, from foundations to trigonometry, offering self-paced practice and exam preparation for improved understanding and problem-solving skills.

• Study.com
• 19 hours 20 minutes
• Self-Paced
• Paid Course

Basic Principles of Geostatistical Geospatial Modeling

Master geostatistical modeling in R through exploratory data analysis, variogram construction, kriging techniques, and conditional simulation for spatial predictions.

• Coursera
• 1 day 14 hours 28 minutes
• Self-Paced
• Paid Course

6th-8th Grade Math: Practice & Review

Comprehensive review of middle school math concepts, from basic arithmetic to algebra and geometry. Engaging lessons help students catch up, excel, and prepare for tests with clear explanations and practice.

• Study.com
• 2 days 14 hours 24 minutes
• Self-Paced
• Paid Course

Statistics 101: Principles of Statistics

Learn fundamental statistical concepts, from data summarization to hypothesis testing, with expert-led lessons and interactive quizzes. Gain transferable skills applicable to various fields.

• Study.com
• 21 hours 44 minutes
• Self-Paced
• Paid Course

Using R for Geostatistical Geospatial Modeling

Master geostatistical geospatial modeling with R through hands-on coding of machine learning algorithms, variograms, kriging techniques, and conditional simulation for real-world applications.

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

Case Studies in Geostatistical Modeling

Master geostatistical modeling through five diverse real-world projects spanning environmental, energy, and materials science applications with expert critique.

• Coursera
• 12 hours 57 minutes
• Self-Paced
• Paid Course

Math 101: College Algebra

Master college algebra with expert instructors breaking down complex topics into easy-to-understand lessons, covering linear equations, matrices, inequalities, quadratics, functions, and more.

• Study.com
• 16 hours
• Self-Paced
• Paid Course

National Accounts Statistics

Learn how to compile and disseminate national accounts statistics.

• edX
• 6 weeks, 3-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

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

Statistical Data Analysis for Scientists and Engineers

Extend your knowledge and skills from univariate and bivariate statistical analysis to multivariate methodology and data analysis.

• edX
• 12 weeks, 5-7 hours a week
• Self-Paced
• Free Online Course (Audit)

Ball State University

Statistical Methods for Data Science

Master statistical methods and probability theory for data science through hands-on applications in R, covering distributions, inference, multivariate analysis, and real-world problem-solving techniques.

• Coursera
• 1 day 15 hours 59 minutes
• Self-Paced
• Paid Course

London School of Economics and Political Science

Statistics 2 Part 1: Probability and Distribution Theory

The third in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.

• edX
• 5 weeks, 12-15 hours a week
• Self-Paced
• Free Online Course (Audit)