Statistics & Probability Courses and Certifications

Statistics for Machine Learning

Learn the statistical concepts behind machine learning.

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

Statistical Methods

10 ratings at Coursera

Learn statistical methods through real-life examples, R programming, and probability experiments. Develop skills in data analysis, visualization, and interpretation using RStudio. Gain practical insights applicable to various fields.

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

Stability and Capability in Quality Improvement

17 ratings at Coursera

Aprende a analizar la estabilidad del proceso y el control estadístico, crear gráficos de control con R, y evaluar la capacidad del proceso para mejorar la calidad.

• Coursera
• 9 hours 40 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistics and Applied Data Analysis

48 ratings at Coursera

Master statistical concepts from basics through advanced analysis, using Excel and R for data visualization, hypothesis testing, and predictive modeling across three progressive levels.

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

Time Series Analysis, Forecasting, and Machine Learning

3133 ratings at Udemy

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting

• Udemy
• 23 hours 28 minutes
• Self-Paced
• Paid Course

Career Certificate

From Data To Decision With AI

36 ratings at Coursera

Master statistical analysis and data interpretation using AI as your guide, from basic research formulation to predictive modeling - no coding required.

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

Master statistics & machine learning: intuition, math, code

2974 ratings at Udemy

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.

• Udemy
• 1 day 14 hours 21 minutes
• Self-Paced
• Paid Course

Statistics & Mathematics for Data Science & Data Analytics

2957 ratings at Udemy

Learn the statistics & probability for data science and business analysis

• Udemy
• 11 hours 26 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistics for Business Analytics

Learn to leverage data for informed business decisions. Master probability, sampling, and forecasting techniques to extract actionable insights from complex datasets and drive strategic outcomes.

• edX
• 18 weeks, 4-8 hours/week
• Self-Paced
• $617.00

Career Certificate

SAS Statistical Business Analyst

228 ratings at Coursera

Enhance predictive and statistical modeling skills to drive data-informed business outcomes. Learn hypothesis testing, regression modeling, and logistic regression using SAS software.

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

Python for Statistical Analysis

2804 ratings at Udemy

Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries

• Udemy
• 8 hours 40 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistical Learning for Data Science

21 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours/week
• Self-Paced
• Paid Course
• 3 courses

Probability: Basic Concepts & Discrete Random Variables

Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science.

• edX
• 6 weeks, 4-6 hours/week
• Self-Paced
• Free Certificate

Probability: Distribution Models & Continuous Random Variables

Learn about probability distribution models, including normal distribution, and continuous random variables to prepare for a career in information and data science.

• edX
• 6 weeks, 4-6 hours/week
• Self-Paced
• Free Certificate

Regression and Classification

16 ratings at Coursera

Explore statistical modeling concepts, including regression, classification, and unsupervised techniques. Learn when to use specific models, how to tune them, and understand trade-offs for informed decision-making.

• Coursera
• 1 day 10 hours 50 minutes
• Self-Paced
• Paid Course