Data, AI, and Cloud Courses

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

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

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

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

Improve data literacy skills by analyzing remote working policies.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

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

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

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

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