Lisa Dierker

Lisa Dierker is a Professor of Psychology at Wesleyan University with training in chronic disease epidemiology. With expertise in the application of innovative statistical methods, she has spent her career developing collaborative relationships with leading experts across multiple disciplines (e.g. public health, statistics, medicine, engineering, pharmacology and neuroscience). She has also shown an extremely strong commitment to teaching undergraduate courses in the areas of statistics and research methods, and with funding from the National Science Foundation, has spent the last three years developing an original project-based curriculum specifically aimed at increasing the number of students exposed to applied statistics.

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Regression Modeling in Practice (Coursera)

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors [...]
8
Average: 8 ( 3 votes )

Data Management and Visualisation (Coursera)

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we [...]
7
Average: 7 ( 4 votes )

Data Analysis Tools (Coursera)

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or [...]
6
Average: 6 ( 4 votes )

Machine Learning for Data Analysis (Coursera)

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine [...]
3
Average: 3 ( 4 votes )