Data, AI, and Cloud Courses

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Create interactive data visualizations in Python using Plotly.

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

Learn the fundamentals of data visualization using Google Sheets.

Transform almost any dataset into a tidy format to make analysis easier.

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.

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

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

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

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.