Data, AI, and Cloud Courses

Learn essential finance math skills with practical Excel exercises and real-world examples.

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Learn to process, transform, and manipulate images at your will.

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

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

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

In this course you will learn the details of linear classifiers like logistic regression and SVM.

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

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Take your R skills up a notch by learning to write efficient, reusable functions.

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

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

Master sampling to get more accurate statistics with less data.

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!