Statistics

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Bayesian Statistics: Time Series Analysis (Coursera)

This course for practicing and aspiring data scientists and statisticians. It is the fourth of a four-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, Techniques and Models, and Mixture models.

Math for MBA and GMAT Prep (Coursera)

Jan 30th 2023
Math for MBA and GMAT Prep (Coursera)
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This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply [...]

The Measure Phase for the 6 σ Black Belt (Coursera)

Jan 30th 2023
The Measure Phase for the 6 σ Black Belt (Coursera)
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This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 4 of 8 in this specialization dealing with topics in the Measure Phase of Six Sigma. Professionals with some completed coursework in statistics and a [...]

Introduction to Statistics (Coursera)

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You [...]

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

Jan 30th 2023
What are the Chances? Probability and Uncertainty in Statistics (Coursera)
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This course focuses on how analysts can measure and describe the confidence they have in their findings. The course begins with an overview of the key probability rules and concepts that govern the calculation of uncertainty measures. We’ll then apply these ideas to variables (which are the [...]

Data – What It Is, What We Can Do With It (Coursera)

This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. The course first introduces a framework for thinking about the various purposes of statistical analysis. We’ll talk [...]

Causal Inference 2 (Coursera)

This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last [...]

Hypothesis Testing in Public Health (Coursera)

Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing [...]

Summary Statistics in Public Health (Coursera)

Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health [...]

Random Models, Nested and Split-plot Designs (Coursera)

Many experiments involve factors whose levels are chosen at random. A well-know situation is the study of measurement systems to determine their capability. This course presents the design and analysis of these types of experiments, including modern methods for estimating the components of variability in these systems. The [...]