Probability Courses and Certifications

jbstatistics

Basics of Probability

1 rating

Learn fundamental probability concepts including unions, intersections, complements, conditional probability, independence, and De Morgan's Laws through clear explanations and examples.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Career Certificate

Self-Driving Cars

3555 ratings at Coursera

Master autonomous vehicle technology through hands-on projects using CARLA simulator. Gain comprehensive understanding of state-of-the-art engineering practices and build your own self-driving software stack.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Advanced Statistics for Data Science

799 ratings at Coursera

Comprehensive exploration of probability, statistics, and linear models for aspiring biostatisticians and data scientists. Covers mathematical foundations, hypothesis testing, regression, and R programming.

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

Calculus: Single Variable Part 4 - Applications

284 ratings at Coursera

Explore applications of calculus in geometry, physics, and probability. Learn to compute areas, volumes, and averages using integrals and differential elements.

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

Coursera

Using probability distributions for real world problems in R

37 ratings at Coursera

Learn to apply probability distributions to real-world problems using R. Gain practical skills in using Binomial, Poisson, Normal, Exponential, and Chi-square distributions, with visualization techniques for data analysis.

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

頑想學概率：機率一 (Probability (1))

367 ratings at Coursera

這是一個機率的入門課程，著重的是教授機率基本概念。課程內容和作業都使用生活化的例子，希望讓同學們快樂學習、快速培養同學們對於機率的洞察力與應用能力。

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

LANTITE Numeracy

Prepare for success with LANTITE Numeracy. This self-paced course will develop your understanding of mathematical content, enable you to apply numeracy skills, and support you with activities to enhance your problem-solving and mathematical reasoning.

• OpenLearning
• 50 hours
• Self-Paced
• Paid Course

EDUCBA

Probability and Statistics for Decision Making

Master probability and statistics to analyze uncertainty, interpret data relationships, and support data-driven decisions in business, finance, and analytics using practical examples and estimation techniques.

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

Packt

Natural Language Processing - Probability Models in Python

Master probability-based NLP techniques in Python, from spam detection and sentiment analysis to text summarization and topic modeling, with hands-on implementation of algorithms like Naive Bayes, LDA, and TextRank.

• Coursera
• 6 hours 52 minutes
• Self-Paced
• Paid Course

Rensselaer Polytechnic Institute

Engineering Probability Lectures, Fall 2018

Comprehensive lecture series on engineering probability, covering fundamental concepts, discrete and continuous random variables, estimation techniques, and hypothesis testing.

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

Center for Language & Speech Processing(CLSP), JHU

Machine Translation - Automata Theory + Probability + Linguistics

Discover how machine translation combines automata theory, probability, and linguistics through expert insights from ISI's Kevin Knight in this comprehensive technical presentation.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Think Like A Sharp

Master proven sports betting strategies and bankroll management techniques from million-dollar pros to identify edges, minimize risks, and make data-driven wagering decisions.

• MasterClass
• Self-Paced
• Free Trial Available

FUN WITH DATA SCIENCE

Probability for Data Science

Comprehensive introduction to probability concepts for data science, covering fundamental principles, distributions, hypothesis testing, and practical applications in statistical analysis.

• YouTube
• 6 hours
• Self-Paced
• Free Video

Apna Teacher

Probability Statistics

Comprehensive probability and statistics course covering basic to advanced concepts for business students, including distributions and probability laws.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video