Data, AI, and Cloud Courses

Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

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

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

Learn to start developing deep learning models with Keras.

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Learn how to design Power BI visualizations and reports with users in mind.

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.