Statistical Inference Courses and Certifications

Excel Skills for Statistics and Data Analysis: Intermediate

Gain proficiency in advanced statistical techniques using Excel, from inferential statistics to pivot tables, enabling data-driven decision making and strategic insights from complex datasets.

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

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
• Paid Course

EDUCBA Career Certificate

Apply Technical Analysis & Market Models for Trading

38 ratings at Coursera

Master technical analysis fundamentals, chart patterns, and trading system design with CMT Part I-aligned curriculum covering market cycles and behavioral finance principles.

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

Linear Regression

31 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

Data Collection and Root Cause Analysis

18 ratings at Coursera

Equips professionals with data collection tools, root cause analysis techniques, and statistical methods for process improvement and Six Sigma Yellow Belt certification. Enhances problem-solving skills and data-driven decision-making abilities.

• Coursera
• 7 hours 12 minutes
• Self-Paced
• Paid Course

Design and Analysis of Experiments | DoE

1080 ratings at Udemy

Design of Experiments: from ANOVA to Factorial Designs using Excel and R.

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

JMP Training for Statistics & Data Visualization

1051 ratings at Udemy

Learn Statistics, Analytics & Data Visualization with JMP Statistical Software

• Udemy
• 3 hours 22 minutes
• Self-Paced
• Paid Course

Ball State University

Statistical Methods for Data Science

Master statistical methods and probability theory for data science through hands-on applications in R, covering distributions, inference, multivariate analysis, and real-world problem-solving techniques.

• Coursera
• 1 day 15 hours 59 minutes
• Self-Paced
• Paid Course

Variable Selection, Model Validation, Nonlinear Regression

Master advanced regression techniques for data-driven industries. Learn logistic, Poisson, and robust regression, generalized linear models, and model validation using R for practical applications.

• Coursera
• 20 hours 43 minutes
• Self-Paced
• Paid Course

Bayesian Computational Statistics

Rigorous introduction to Bayesian inference, covering theory, computation, and practical implementation using statistical software. Explores advanced topics and applications in data analysis.

• Coursera
• 3 days 16 hours 39 minutes
• Self-Paced
• Paid Course

Econometrics - Theory and Practice

Master econometric theory and practice through regression analysis, hypothesis testing, and statistical inference for analyzing economic relationships and data.

• Coursera
• 1 day 7 hours 43 minutes
• Self-Paced
• Paid Course

Statistical Methods and Data Analysis

Discover statistical methods and R programming for data analysis, covering visualization, descriptive statistics, probability, sampling, significance tests, regression, and big data techniques.

• Coursera
• 20 hours 23 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute

Regression Analysis - Fundamentals & Practical Applications

Master linear regression techniques through hands-on practice in Excel and Python, from basic calculations to advanced modeling. Learn to interpret statistical outputs and make data-driven predictions for real business applications.

• Coursera
• 4 hours 8 minutes
• Self-Paced
• Paid Course

Statistical Methods for Psychological Research

Discover statistical principles and techniques for psychology research, covering descriptive/inferential statistics, ANOVA, regression, and non-parametric methods.

• Coursera
• 1 day 2 hours 49 minutes
• Self-Paced
• Paid Course