Data, AI, and Cloud Courses

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

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

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

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

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

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

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.