Data, AI, and Cloud Courses

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

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

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

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

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

Improve data literacy skills by analyzing remote working policies.

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

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

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

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

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

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

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

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

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

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

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

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

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

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

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

Learn to create your own Python packages to make your code easier to use and share with others.

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

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

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

Unlock the power of ChatGPT with better prompts, accurate responses, and safe AI use. Improve efficiency and get the most from AI conversations!

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

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

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