Data, AI, and Cloud Courses

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

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

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

Master strategic data management for business excellence.

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.

Learn how to design Power BI visualizations and reports with users in mind.

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.

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

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.

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.

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

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

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

Prepare for your next coding interviews in Python.

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

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

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

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

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

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

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

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.