Coursera
Dive deep into the methodologies that shape our comprehension of health determinants. Learn how to work effectively with scientific teams, engage communities, and manage data to uncover best practices in public health research.
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.
Coursera
Dive into the world of data analysis with 'Statistics with SAS' – a beginner-friendly course designed for those using SAS software. Gain expertise in performing statistical analyses including t-tests, ANOVA, and linear regression, plus a brief introduction to logistic regression.
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.
Coursera
Discover how to simplify complex data relationships with our comprehensive Regression Analysis course. Designed for aspiring data professionals, this course will guide you through the essential methods of data modeling, including linear regression, analysis of variance (ANOVA), and logistic regression. By mastering these techniques, you'll be equipped to approach business problems with a structured analytical framework.
Coursera
Expand your understanding of statistics and learn how to apply complex analytical methods using Excel in this advanced course. Following on from 'Part 1', you'll delve deeper into probability, distributions, and more practical applications of statistical analysis.
Coursera
Dive into the multiphase optimization strategy (MOST) with this comprehensive online course designed for intervention scientists across various fields. Streamline your research process, enhance effectiveness, and achieve scalability by understanding which intervention components work best.
Coursera
Expand your understanding of Bayesian statistics by delving into more complex techniques and models. This course builds on foundational concepts, equipping you with advanced tools for analyzing real-world datasets effectively.
Coursera
Dive into Stanford University's renowned 'Introduction to Statistics' course on Coursera. This comprehensive program is designed for learners who want to develop a strong foundation in understanding and interpreting data. You'll explore key concepts such as statistical thinking, exploratory data analysis, sampling techniques, and significance testing. Whether you're new to statistics or looking to enhance your analytical skills, this course will equip you with the tools necessary to make informed decisions based on data.