Dear Log Moocs,
Data is the current currency of modern life: it’s used to train artificial intelligence, track your purchases, and determine the quality of recommendations you get on your streaming services. Being an informed citizen means knowing how data is generated and used. Gaining fluency can even serve as the foundation and backbone of careers in fields as wide-ranging as public policy and healthcare. Explore courses and series on the importance of digging into data and the insights and stories it can reveal about the topic you’re trying to understand.
------------------------------------------
Build Data Literacy
Not really into the whole numbers game, but want to increase your literacy? Understanding Data: Navigating Statistics, Science, and AI is a three-course Specialization that lays the foundation for engaging with data critically and intentionally. This course series is ideal for those who interact with data in their roles but aren’t necessarily executing the analysis. The series also explores how machine learning affects data consumption and management.
Expand your understanding of data.
------------------------------------------
Analyze Complex Datasets in New Ways
For those looking to deepen their data analysis abilities with Python, Applied Data Science with Python provides hands-on learning to develop your skills. Explore popular toolkits such as pandas, matplotlib, and others to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques to decipher trends in large datasets.
Broaden your expertise with the accompanying course series, More Applied Data Science with Python, an expansion on the original Specialization. You’ll learn how to codify unstructured data to your advantage, using methods like clustering, dimensionality reduction, and topic modeling to uncover hidden patterns and improve predictive analysis.
Grow your data analysis skills with Python.
------------------------------------------
Influence Policy through Data
Data Analytics in the Public Sector with R explores both the technical and ethical approaches to data analysis and can be used as a foundation for a meaningful career in the public sector. Learn to use R, a powerful software environment for statistical computing, data analysis, and data visualization. Use real public datasets to gain core data analytics skills, moving into more advanced techniques to create insightful visualizations for planning and reporting. By understanding how these real datasets reflect the lives of real individuals, you can paint a picture that informs policy efforts to address today’s largest challenges.
Recognize trends in public policy data.
------------------------------------------
Improve Health Outcomes with Data
Terabytes of data are generated by the healthcare field, offering valuable insights into population health and wellness. In Data Science for Health Research, learn to organize and visualize health data using statistical analysis programs, a key skill in public health careers. Explore binary outcomes and build logistic regression models using R to analyze and predict health data with guided coding practice.
Recommend data-backed healthcare solutions.
------------------------------------------
Be the first to know about new learning experiences from the University of Michigan! Subscribe to the Michigan Online email list.
facebook.com/MichiganOnline
instagram.com/Michigan.Online
x.com/UMichOnline
linkedin.com/company/michigan-online
youtube.com/MichiganOnline
