Data, AI, and Cloud Courses

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

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

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

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

Build the foundation you need to think statistically and to speak the language of your data.

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

This course focuses on feature engineering and machine learning for time series data.

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

Learn about string manipulation and become a master at using regular expressions.

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Create new features to improve the performance of your Machine Learning models.

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

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

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

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

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

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

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

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

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

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

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

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

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!