Statistics & Probability Courses and Certifications

Model Diagnostics and Remedial Measures

11 ratings at Coursera

Learn to diagnose and fix issues in regression models, including assumption violations, heteroscedasticity, autocorrelation, and multicollinearity. Gain skills in variable selection and model validation for data-driven industries.

• Coursera
• 19 hours 55 minutes
• Self-Paced
• Paid Course

Packt

Statistics & Mathematics for Data Science & Data Analytics

11 ratings at Coursera

Master essential statistical and mathematical concepts for data science, from descriptive statistics and probability theory to regression analysis and hypothesis testing, with practical applications for real-world data problems.

• Coursera
• 15 hours 7 minutes
• Self-Paced
• Paid Course

Statistical and Probabilistic Foundations of AI

Explore statistical foundations of AI, covering data analysis, probability theory, and inferential statistics. Gain practical skills using R for visualization and analysis of real-world data.

• edX
• 7 weeks, 6-7 hours/week
• Self-Paced
• Free Online Course (Audit)

Introductory Statistics : Analyzing Data Using Graphs and Statistics

This course teaches basic statistical concepts andexplores many compelling applications of statistical methodsusing real-life applications of Statistics.

• edX
• 5 weeks, 1-2 hours/week
• Self-Paced
• Free Certificate

Introductory Statistics : Sample Survey and Instruments for Statistical Inference

The purpose of this course is to introduce basic concepts of sample surveys and to teach statistical inference process using real-life examples.

• edX
• 6 weeks, 1-2 hours/week
• Self-Paced
• Free Certificate

Mathematical understanding of uncertainty

Explore probability theory, universal principles, and Markov chains to understand and harness uncertainty in real-world applications, from statistics to deep learning algorithms.

• edX
• 12 weeks, 1-2 hours/week
• Self-Paced
• Free Certificate

Statistics Using Python

Learn the fundamentals of statistics using Python.

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

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

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/week
• Self-Paced
• Free Certificate

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

National Accounts Statistics

Learn how to compile and disseminate national accounts statistics.

• edX
• 6 weeks, 3-4 hours/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 2: Statistical Inference

The final part 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/week
• Self-Paced
• Free Online Course (Audit)

London School of Economics and Political Science

Mathematics and Statistics Fundamentals Proctored Exam

Comprehensive assessment of calculus, algebra, probability, and statistical methods, covering key mathematical and statistical concepts for data analysis and decision-making.

• edX
• 1 week, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Statistical Learning

Explore cutting-edge statistical analysis techniques, from regression to advanced methods like kernel smoothing and support vector machines. Enhance data interpretation skills with hands-on Python examples.

• Coursera
• 4 days 18 hours 15 minutes
• Self-Paced
• Paid Course