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Jen Rose and Lisa Dierker

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.

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Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.

The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.

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What's inside

Five courses

Data Management and Visualization

(0 hours)
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 to use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before.

Data Analysis Tools

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 apply the appropriate one to your specific data and question. You will explore ANOVA, Chi-Square, and Pearson correlation analysis using SAS or Python.

Regression Modeling in Practice

(0 hours)
This course focuses on regression analysis, a crucial tool in data analysis. Using SAS or Python, you will explore linear regression and its adaptations for non-linear relationships. You will analyze multiple predictors, identify confounding variables, and interpret regression coefficients. Regression assumptions, diagnostic plots, and model evaluation will be covered. Throughout the course, you will share and discuss your regression models.

Machine Learning for Data Analysis

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. You will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.

Data Analysis and Interpretation Capstone

The Capstone project lets you apply data analytic techniques to address an important issue in society. You will use real world data to complete a project with our industry and academic partners.

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