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Learn Data Analytics, earn certificates with free online courses from Stanford, MIT, University of Michigan, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Explore a powerful Personal Exposome Tracker for precision environmental health, focusing on innovative approaches to monitor and analyze individual environmental exposures.
Equip yourself with R programming skills to analyze public sector data, informing policy decisions and administrative functions through data manipulation, visualization, and interpretation.
Learn foundational R programming for public sector data analysis, covering key concepts, tidyverse libraries, and custom functions to analyze population and survey data effectively.
Explore ethical challenges in public sector data analytics, including bias and decision-making. Apply skills through a capstone project analyzing policy options using real-world data and RStudio.
This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies.
Get your start in one of the fastest growing fields in technology.
The Segmentation & Clustering course provides students with the knowledge to build and apply clustering models to develop sophisticated segmentation in business contexts.
Learn a scientific approach to solving problems with data, a foundational skill for anyone interested in making data driven decisions in a business context.
Learn how to use classification predictive models to solve business problems involving non-numeric data.
Explore enterprise data modeling, combining diverse sources for accurate insights. Learn strategies for data integrity and master predictive analytics tools in Power BI for informed decision-making.
Build, orchestrate, and monitor data pipelines in Azure using Data Factory and Synapse Analytics. Learn data transformation, optimization, and production-ready pipeline management for analytical workloads.
Learn data analytics fundamentals, including lifecycle stages, integrity, types, and Power BI basics. Gain skills to identify strategies and navigate the analytics process for effective decision-making.
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
Master essential business analysis tools - Excel, PowerPoint, SQL, and Tableau - while developing expertise in data analysis, visualization, and presentation design for professional advancement.
Master cutting-edge generative AI applications across business domains, from Excel automation and data analytics to graphic design and marketing, with hands-on training in leading AI tools and platforms.
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