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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.
Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.
Learn to use the Census API to work with demographic and socioeconomic data.
Azure Security
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.
Are you curious about the inner workings of the models that are behind products like Google Translate?
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Learn to use the Bioconductor package limma for differential gene expression analysis.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Learn to process sensitive information with privacy-preserving techniques.
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.