Statistical Hypothesis Testing

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Stability and Capability in Quality Improvement (Coursera) Coursera
University of Colorado Boulder

Stability and Capability in Quality Improvement (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey towards enhancing your understanding of quality improvement by mastering the art of analyzing process stability and capability. This course will equip you with the skills needed to create effective Statistical Process Control (SPC) charts for both continuous and discrete data sets, all while utilizing the powerful R software. Learn why having a stable process is crucial before performing statistical hypothesis testing.

Sep 14th 2026
5-12 Weeks
Probability Statistical Analysis Quality Improvement
Details
Variable Selection, Model Validation, Nonlinear Regression (Coursera) Coursera
Illinois Tech

Variable Selection, Model Validation, Nonlinear Regression (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced statistical modeling with 'Variable Selection, Model Validation, Nonlinear Regression' on Coursera. This course is designed for those with a technical background in mathematics, statistics, computer science, or engineering looking to transition into data-driven careers across various industries including finance, retail, tech, healthcare, and more. Learn essential skills in variable selection, model validation, and nonlinear regression to unlock endless opportunities.

Sep 14th 2026
4 Weeks
Statistics Probability Logistic Regression
Details
The DMAIC Framework: Analyze, Improve, and Control Phase (Coursera) Coursera
SkillUp EdTech

The DMAIC Framework: Analyze, Improve, and Control Phase (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey to enhance your process improvement capabilities with our specialized course on the Analyze, Improve, and Control phases of the DMAIC framework. This course is designed for those aiming to pass the ASQ Certified Six Sigma Green Belt (CSSGB) exam and will equip you with advanced skills in data analysis, root cause identification, solution implementation, and process control.

Sep 14th 2026
5-12 Weeks
Exploratory Data Analysis Regression Analysis DMAIC
Details
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

Statistics & Data Analysis Data Science

Discover the secrets to making informed decisions based on data with our Statistical Inference course. Designed for those who want to understand how to draw reliable conclusions from their findings, this course covers a wide range of techniques and theories essential for effective analysis. From statistical modeling to data-oriented strategies, you'll gain valuable skills in interpreting and utilizing your research results.

Sep 7th 2026
4 Weeks
Statistics Probability Data Analysis
Details
Data Analysis Tools (Coursera) Coursera
Wesleyan University

Data Analysis Tools (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey to master the art and science of data analysis with our Data Analysis Tools course on Coursera. This course is designed for learners who want to delve into statistical testing, hypothesis formulation, and application of various analytical techniques such as ANOVA, Chi-Square tests, and Pearson correlation analysis using either SAS or Python. Whether you're a beginner looking to build foundational skills or an intermediate analyst aiming to refine your abilities, this course offers the tools and knowledge needed to transform raw data into actionable insights.

Sep 7th 2026
4 Weeks
Python Data Analysis ANOVA
Details
Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera) Coursera
Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Business Statistics with our advanced course on Confidence Intervals and Hypothesis Testing. Gain essential skills that will empower you to make informed decisions, quantify risks, and understand the nuances of statistical analysis as applied to real-world business scenarios. This course is perfect for those looking to elevate their analytical capabilities in a business context.

Sep 7th 2026
4 Weeks
Hypothesis Data Analysis Microsoft Excel
Details
Inferential Statistical Analysis with Python (Coursera) Coursera
University of Michigan

Inferential Statistical Analysis with Python (Coursera)

Statistics & Data Analysis Data Science

Discover the power of Python in understanding data through inferential statistics. This course will guide you from basic principles to advanced techniques for analyzing both categorical and quantitative data, comparing populations, constructing confidence intervals, and testing theories using sample data. Perfect for beginners and professionals alike who want to harness the potential of statistical analysis with Python.

Sep 7th 2026
4 Weeks
Statistics Statistical Inference Inferential Statistics
Details
What are the Chances? Probability and Uncertainty in Statistics (Coursera) Coursera
Johns Hopkins University

What are the Chances? Probability and Uncertainty in Statistics (Coursera)

Economics & Finance

Dive deep into the world of statistics with 'What are the Chances? Probability and Uncertainty in Statistics'. This course unravels the complexities of probability theory and its application to statistical analysis, enabling you to confidently measure and communicate uncertainty. From understanding basic probability rules to conducting hypothesis tests and interpreting regression results, this course equips you with essential skills for analyzing data effectively.

Sep 7th 2026
4 Weeks
Statistics Probability Economics
Details
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