Statistics & Probability Courses

Python and Statistics for Financial Analysis

437 reviews

Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

• Coursera
• 13 hours worth of material, 4 weeks long
• 27th Feb, 2023
• Free Online Course (Audit)

• Best of All Time

University of Cape Town

Understanding Clinical Research: Behind the Statistics

735 reviews

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.

• Coursera
• 27 hours worth of material, 6 weeks long
• 20th Feb, 2023
• Free Online Course (Audit)

• Best of All Time

Estadística Aplicada a los Negocios

134 reviews

Usa estadística descriptiva e inferencial en los negocios. Aprende a tomar decisiones con ayuda de estimadores, análisis regresional y más.

• edX
• 5-6 hours a week, 5 weeks long
• Self paced
• Free Online Course (Audit)

• Best of All Time

Análisis estadístico con Excel

131 reviews

Este curso en línea entrega al estudiante los conocimientos fundamentales de estadística para el análisis de datos, tanto a nivel personal como empresarial.

• edX
• 3-5 hours a week, 4 weeks long
• Self paced
• Free Online Course (Audit)

• Best of All Time

Intro to Statistics

39 reviews

Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.

• Udacity
• 8 weeks long
• On-Demand
• Free Online Course

Statistical Learning

28 reviews

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

• edX
• 3-5 hours a week, 11 weeks long
• Self paced
• Free Online Course (Audit)

Probability - The Science of Uncertainty and Data

34 reviews

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.

• edX
• 10-14 hours a week, 16 weeks long
• 15th May, 2023
• Free Online Course (Audit)

• Best of All Time

Statistics and R

20 reviews

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

• edX
• 2-4 hours a week, 4 weeks long
• Self paced
• Free Online Course (Audit)

Introduction to Statistics

1962 ratings at Coursera

You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

• Coursera
• 15 hours worth of material, 8 weeks long
• 27th Feb, 2023
• Free Online Course (Audit)

Statistics 110: Probability

Syllabus: Lecture 1: Probability and Counting | Statistics 110. Lecture 2: Story Proofs, Axioms of Probability | Statistics 110. Lecture 3: Birthday Problem, Properties of Probability | Statistics 110. Lecture 4: Conditional Probability | Statistics 110.…

• YouTube
• 27 hours worth of material
• On-Demand
• Free Online Course

Systems Thinking In Public Health

5 reviews

This course provides an introduction to systems thinking and systems models in public health. Problems in public health and health policy tend to be complex with many actors, institutions and risk factors involved. If an outcome depends on many interacti…

• Coursera
• 15 hours worth of material, 4 weeks long
• 27th Feb, 2023
• Free Online Course (Audit)

Stanford Webinar - Data Overload: Making Sense of Statistics in the News, Kristin Sainani

Syllabus: Introduction. Three statistics lessons from the news. Statements made. The numbers: relative risk (risk ratio). The numbers: absolute risk difference. Relative vs. Absolute Risk. Communicating relative risks correctly. Relative risks don…

• YouTube
• Less than 1 hour of material
• On-Demand
• Free Online Course

Bayesian Networks 3 - Maximum Likelihood | Stanford CS221: AI (Autumn 2019)

Syllabus: Introduction. Announcements. Review: Bayesian network. Review: probabilistic inference. Where do parameters come from?. Roadmap. Learning task. Example: one variable. Example: v-structure. Example: inverted-v structure. Parameter shar…

• YouTube
• 1-2 hours worth of material
• On-Demand
• Free Online Course

Bayesian Networks 2 - Forward-Backward | Stanford CS221: AI (Autumn 2019)

Syllabus: Introduction. Review: Bayesian network. Review: probabilistic inference. Hidden Markov model inference. Lattice representation. Summary. Hidden Markov models. Review: beam search. Step 1: propose. weight. Step 3: resample. Applicatio…

• YouTube
• 1-2 hours worth of material
• On-Demand
• Free Online Course

Bayesian Networks 1 - Inference | Stanford CS221: AI (Autumn 2019)

Syllabus: Introduction. Announcements. Pac-Man competition. Review: definition. Review: object tracking. Course plan. Review: probability Random variables: sunshine S € (0,1), rain R € {0,1}. Challenges Modeling: How to specify a joint distributio…

• YouTube
• 1-2 hours worth of material
• On-Demand
• Free Online Course