Probability Courses and Certifications

Career Certificate

Practical Machine Learning: Foundations to Neural Networks

Master probability, statistics, and neural networks to build rigorous machine learning models from linear regression to deep learning applications.

• Coursera
• 12 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 3 courses

Simulation for Digital Transformation

Master discrete event simulation with Python and SimPy to model, analyze, and optimize complex systems for digital transformation, enabling data-driven decisions and effective resource allocation.

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

Statistics and Calculus Methods for Data Analysis

Master essential mathematical foundations for data science through statistics, calculus, and Python applications in expected values, derivatives, and integrals.

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

Bayesian Inference Fundamentals

Master Bayesian inference from Bayes' theorem to MCMC methods, covering conjugate priors, credible intervals, Gibbs sampling, and Variational Inference for data-driven decision-making across industries.

• Coursera
• 4 weeks, 5 hours a week
• 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

Ball State University

Introduction to Data Science

Master data science fundamentals through ethics, collection methods, R programming, and statistical analysis while learning to handle data responsibly and derive meaningful insights for real-world applications.

• Coursera
• 11 hours 8 minutes
• Self-Paced
• Paid Course

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

Math 102: College Mathematics

Comprehensive review of college-level math concepts, from linear equations to geometry, with practice quizzes to reinforce learning and prepare for degree programs.

• Study.com
• 16 hours 24 minutes
• Self-Paced
• Paid Course

High School Algebra I: Help and Review

Comprehensive Algebra I review with flexible tools, video lessons, and quizzes for homework help and test preparation. Covers basic arithmetic to complex equations and data analysis.

• Study.com
• 1 day 15 hours 28 minutes
• Self-Paced
• Paid Course

Foundations for Data Analytics Part 2

Master time series analysis, text mining, network theory, and probability distributions through hands-on applications in data cleaning, clustering, and statistical modeling.

• Coursera
• 9 hours 43 minutes
• Self-Paced
• Paid Course

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

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

College Algebra: Help and Review

Comprehensive algebra review covering basic arithmetic to complex topics like matrices and logarithms, with flexible study materials for homework help and exam preparation.

• Study.com
• 1 day 8 hours 16 minutes
• Self-Paced
• Paid Course

Bayesian Computational Statistics

Rigorous introduction to Bayesian inference, covering theory, computation, and practical implementation using statistical software. Explores advanced topics and applications in data analysis.

• Coursera
• 3 days 16 hours 39 minutes
• Self-Paced
• Paid Course

Introduction to Probability & Statistics (in Hindi)

Dive into probability and statistics with Hindi lectures and English writing, covering fundamental concepts, distributions, estimation, and hypothesis testing for engineering students.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Edureka

Predictive Modeling with Python

Master statistical analysis and machine learning in Python through hands-on practice with real-world data, from probability distributions to predictive modeling and model optimization.

• Coursera
• 16 hours 45 minutes
• Self-Paced
• Paid Course