Statistical Inference Courses and Certifications

Modeling Data in the Tidyverse

10 ratings at Coursera

Learn to model data effectively using the Tidyverse in R. Covers hypothesis testing, regression, machine learning, and more. Gain skills to uncover insights and improve decision-making through data analysis.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time:Sequential Hypothesis Testing

Explore sequential hypothesis testing for data-driven decision-making, from Chernoff's landmark paper to modern applications in pricing, healthcare, and image analysis.

• Coursera
• 1 day 12 minutes
• Self-Paced
• Paid Course

Data Modeling and Prediction with R

Master linear and logistic regression in R to build predictive models, interpret relationships, and quantify uncertainty for data-driven decision making.

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

Credential

Data Analysis with R

Comprehensive R-based data analysis program covering probability, inference, regression, and Bayesian statistics. Develop practical skills for data visualization, wrangling, and reproducible reporting.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 5 courses

Credential

Modern Statistics for Data-Driven Decision-Making

Master statistical methods for data-driven decisions across business, industrial, and social environments with probability, regression, Bayesian concepts, and classification techniques.

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

Statistical Estimation for Data Science and AI

93 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Decision Making with Probability & Statistics, Do it Right.

3023 ratings at Udemy

For Good, Data driven Business Decision-Making : Avoid Probability and Statistics Misconceptions and Mistakes.

• Udemy
• 2 hours 54 minutes
• Self-Paced
• Paid Course

Managing, Describing, and Analyzing Data

34 ratings at Coursera

Learn to classify, visualize, and analyze data using R. Master descriptive statistics, probability distributions, sampling techniques, and hypothesis testing for informed decision-making and statistical inference.

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

Introduction to Probability and Statistics

1793 ratings at Udemy

Master fundamental probability concepts, data analysis techniques, and statistical inference methods including binomial experiments, confidence intervals, and hypothesis testing.

• Udemy
• 8 hours 30 minutes
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel: Essentials

73 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

Applied Statistics for Data Analytics

61 ratings at Coursera

Gain insights into foundational statistics, from descriptive analysis to hypothesis testing, while mastering practical techniques for extracting meaningful insights from data through hands-on examples.

• Coursera
• 1 day 10 hours 46 minutes
• Self-Paced
• Paid Course

Credential

Advanced Statistical Techniques for Data Science

48 ratings at Coursera

Master advanced statistical techniques for data science including regression, model diagnostics, variable selection, Bayesian statistics, and data preparation for complex analysis.

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

Excel Skills for Statistics and Data Analysis: Essentials

Master essential Excel skills for statistical analysis, from descriptive to inferential statistics, transforming data into meaningful insights for better decision-making across various fields.

• Coursera
• 12 hours 9 minutes
• Self-Paced
• Free Online Course (Audit)

Linear Regression

30 ratings at Coursera

Learn to apply linear regression techniques using R, covering simple and multiple regression, qualitative predictors, and statistical inference for data-driven career applications.

• Coursera
• 1 day 3 hours 3 minutes
• Self-Paced
• Paid Course

Data Analysis for Business

29 ratings at Coursera

Equip yourself with data analysis tools and techniques for informed business decision-making. Learn to extract insights, enhance processes, and drive strategic initiatives through hands-on applications.

• Coursera
• 21 hours 2 minutes
• Self-Paced
• Paid Course