Statistical Hypothesis Testing

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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.

Jun 29th 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.

Jun 29th 2026
4 Weeks
Python Data Analysis ANOVA
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.

Jun 29th 2026
4 Weeks
Statistics Statistical Inference Inferential Statistics
Details
Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera) Coursera
SAS

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Statistics & Data Analysis

Discover the power of Statistical Thinking for Industrial Problem Solving, an applied statistics course designed for scientists and engineers. Developed by JMP, a division of SAS, this course equips you with essential skills to use data and basic statistical methods to tackle real-world challenges effectively.

Jun 29th 2026
5-12 Weeks
Data Analysis Exploratory Data Analysis Problem Solving
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.

Jun 29th 2026
4 Weeks
Statistics Probability Economics
Details
ANOVA and Experimental Design (Coursera) Coursera
University of Colorado Boulder

ANOVA and Experimental Design (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of statistical modeling with our 'ANOVA and Experimental Design' course. This course will equip you with essential skills in analyzing variance (ANOVA) and covariance (ANCOVA), as well as designing impactful experiments. Perfect for data scientists, researchers, and students aiming to enhance their understanding of experimental design principles.

Jun 29th 2026
4 Weeks
ANOVA ANCOVA Experimental Design
Details
Introduction to Data Science and scikit-learn in Python (Coursera) Coursera
LearnQuest

Introduction to Data Science and scikit-learn in Python (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of data science and artificial intelligence with our beginner-friendly course. Learn how to use Python effectively for hypothesis creation and testing, explore key concepts in EDA, and master powerful tools such as Numpy, Pandas, and scikit-learn. This course is perfect for those new to data science who want to build a strong foundation.

Jun 29th 2026
4 Weeks
Python Machine Learning Data Science
Details
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.

Jun 29th 2026
5-12 Weeks
Probability Statistical Analysis Quality Improvement
Details
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