ANOVA

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Data Analysis Tools (Coursera) Coursera
Wesleyan University

Data Analysis Tools (Coursera)

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.

Oct 19th 2026
4 Weeks
Factorial and Fractional Factorial Designs (Coursera) Coursera
Arizona State University

Factorial and Fractional Factorial Designs (Coursera)

Explore the world of multifactor experiments with our introductory course on Factorial and Fractional Factorial Designs. Designed for those in engineering, science, and business, this course teaches you how to effectively design experiments where multiple factors are varied simultaneously. Master the art of analyzing data using ANOVA and unlock the potential to optimize processes and drive innovation.

Oct 19th 2026
4 Weeks
Basics of Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Dive into the world of statistical analysis with 'Basics of Statistical Inference and Modelling Using R'. This course will equip you with a strong foundation in understanding why certain statistical methods work, how to implement them using R, and when to apply them. It's an essential step for anyone looking to delve deeper into data science.

Self Paced
Self-Paced
Analyzing Data with Python (edX) EdX
IBM

Analyzing Data with Python (edX)

Unlock the potential of your data with 'Analyzing Data with Python' on edX. This course equips you with essential skills in handling, manipulating, and analyzing complex datasets using powerful Python libraries such as numpy, pandas, SciPy, and scikit-learn. Whether you're a beginner or looking to advance your analytical capabilities, this course offers a structured pathway to mastering data analysis and machine learning techniques.

Self Paced
Self-Paced
ANOVA and Experimental Design (Coursera) Coursera
University of Colorado Boulder

ANOVA and Experimental Design (Coursera)

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.

Oct 19th 2026
4 Weeks
UX Data Analysis (edX) EdX
HECMontrealX,HEC Montréal

UX Data Analysis (edX)

Embark on a journey to become a UX data scientist with this comprehensive edX course. Dive deep into the world of data analysis, mastering both qualitative research methods and advanced Web analytics techniques. Gain the skills needed to extract valuable insights from user interactions and big data sets, enabling you to make informed recommendations that enhance user experience.

Self Paced
Self-Paced
Introduction to Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Introduction to Bayesian Statistics Using R (edX)

Embark on a foundational exploration of Bayesian statistics with this introductory course designed for beginners. Master the basics of Bayesian Data Analysis and practice solving practical problems using R, setting the stage for advanced studies in data analysis across various fields such as epidemiology, ecology, economics, and political sciences.

Self Paced
Self-Paced