Data, AI, and Cloud Courses

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Master the key concepts of data management, from life cycle stages to security and governance.

Master strategic data management for business excellence.

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Learn the fundamentals of data visualization using Google Sheets.

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Step right into the dynamic world of data modeling with Snowflake!

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Learn about ARIMA models in Python and become an expert in time series analysis.

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Learn to perform linear and logistic regression with multiple explanatory variables.

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

Using Python and NumPy, learn the most fundamental financial concepts.

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Prepare for your next coding interviews in Python.

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!