Data, AI, and Cloud Courses

Explore Azure services like Compute, Storage, and Automation, with hands-on experience.

Learn how to clean data with Apache Spark in Python.

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

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

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

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

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

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

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

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

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

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

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

Learn to start developing deep learning models with Keras.

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.

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

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

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

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

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

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!

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

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

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

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

Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.

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

Learn about ARIMA models in Python and become an expert in time series analysis.

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