Statistics & Probability Courses and Certifications

Career Certificate

SAS Statistical Business Analyst

229 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

22 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

Regression and Classification

18 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

Statistics for Data Analysis Using R

2644 ratings at Udemy

Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

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

Measurement Systems Analysis

10 ratings at Coursera

Analyze measurement systems for process stability and capability, covering continuous and discrete data analysis, ANOVA, correlation, and decision-making for process improvement using R software.

• Coursera
• 16 hours 56 minutes
• Self-Paced
• Paid Course

Statistics and data literacy for non-statisticians

2487 ratings at Udemy

Learn the key terms and analysis methods in statistics

• Udemy
• 1 hour 37 minutes
• Self-Paced
• Free Online Course

Resampling, Selection and Splines

Explore advanced statistical learning techniques for data science, including resampling methods, model optimization, and non-linear approaches to enhance prediction accuracy and interpretability.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Qualitative Comparative Analysis (QCA)

164 ratings at Coursera

QCA is a comparative method that is mainly used in the social sciences for the assessment of cause-effect relations (i.e. causation). The course is designed for people who have no or little experience with QCA.

• Coursera
• 1 day 2 hours 38 minutes
• Self-Paced
• Paid Course

Statistical Analysis Fundamentals using Excel

152 ratings at Coursera

Gain foundational knowledge in statistical analysis using Excel, covering descriptive statistics, data visualization, probability distributions, and regression analysis for data-driven decision-making.

• Coursera
• 13 hours 56 minutes
• Self-Paced
• Paid Course

Methods and Statistics in Social Science - Final Research Project

71 ratings at Coursera

Collaborative research project covering hypothesis formulation, study design, data collection, statistical analysis, and result documentation in social sciences.

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

Complete & Practical SAS, Statistics & Data Analysis Course

1789 ratings at Udemy

A complete guide and use cases study for job seekers and beginners -- start career in SAS, Statistics and Data science

• Udemy
• 16 hours 37 minutes
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel: Essentials

84 ratings at Coursera

Master statistical analysis and data interpretation using Excel to transform raw data into meaningful insights for informed decision-making across various industries.

• Coursera
• 11 hours 49 minutes
• Self-Paced
• Paid Course

Microsoft Excel: Essential Statistics for Data Analysis

1666 ratings at Udemy

Learn statistics for data analysis with fun, real-world Excel demos: probability, hypothesis testing, regression & more!

• Udemy
• 7 hours 52 minutes
• Self-Paced
• Paid Course

Statistics for Applications

1 rating

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video