Statistical Inference Courses and Certifications

Statistics for Data Science & Analytics

Master essential statistical concepts including probability, descriptive statistics, and hypothesis testing to analyze data effectively in data science applications.

• Great Learning
• 3 hours 30 minutes
• Self-Paced
• Paid Course

Statistics

The world we live in is full of data that comes from everywhere around us. The data themselves are just noise and confusion. To make sense of data, to extract the information hidden in it, we need a powerful branch of science---STATISTICS.

• XuetangX
• Self-Paced
• Free Online Course

Probability and Statistics

Master fundamental probability and statistical concepts, from basic axioms to hypothesis testing, with practical applications in engineering, data analysis, and decision-making processes.

• XuetangX
• Self-Paced
• Free Online Course

Probability and Mathematical Statistics

Master fundamental probability concepts and statistical methods through rigorous mathematical exploration, from random events to hypothesis testing, with practical applications in economics and management.

• XuetangX
• Self-Paced
• Free Online Course

IIT Kharagpur;  NPTEL

Applied Econometrics

Comprehensive econometrics course covering sampling, statistics, linear models, and advanced techniques. Includes experimental economics and practical applications in banking, policy, and consulting.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Statistical Methods for Economics

Comprehensive statistical methods course covering data analysis, probability theory, distributions, sampling techniques, and estimation. Emphasizes practical applications in economics using Excel for computations and visualizations.

• Swayam
• 15 weeks
• Self-Paced
• Free Online Course

Probability

Discover fundamental probability concepts from basic theory to binomial distributions, conditional probability, and Bayes' Rule to enhance data-driven decision making.

• Udacity
• 13 hours
• Self-Paced
• Paid Course

Applied Statistics

Master fundamental statistical concepts through practical exercises, from data organization and probability to sampling methods and linear regression. Perfect for economics and management students.

• XuetangX
• Self-Paced
• Free Online Course

Chennai Mathematical Institute;  NPTEL

Predictive Analytics - Regression and Classification

Explore statistical predictive models for data science, covering regression, classification, and advanced techniques. Gain practical skills in model construction, implementation, and analysis using various programming languages.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

MITCBMM

Statistics and Data Analysis

Learn essential statistics and data analysis concepts, including distributions, visualization techniques, correlation, regression, and hypothesis testing, to enhance your data interpretation skills.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking Fall 2017

Master Bayesian statistical methods and causal inference through comprehensive lectures accompanying the acclaimed "Statistical Rethinking" book by Richard McElreath.

• YouTube
• 19 hours 46 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking - Winter 2015

Discover Bayesian statistical methods and causal inference through comprehensive lectures that challenge traditional statistical thinking and build practical modeling skills.

• YouTube
• 1 day 2 hours 27 minutes
• Self-Paced
• Free Video

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

MIT RES.6-012 Introduction to Probability, Spring 2018

Comprehensive introduction to probability theory, covering key concepts, tools, and applications. Explores discrete and continuous probability, random variables, inference, and stochastic processes through lectures and examples.

• YouTube
• 1 day 6 hours
• Self-Paced
• Free Video