Data, AI, and Cloud Courses

In this course youll learn how to perform inference using linear models.

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

Discover how to use the income statement and balance sheet in Power BI

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

Learn to work with Microsoft Copilot. Master prompting, navigate Microsoft 365 apps, and build custom agents.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Learn to build recommendation engines in Python using machine learning techniques.

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

Learn key financial concepts such as capital investment, WACC, and shareholder value.

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Learn how to write recursive queries and query hierarchical data structures.

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Learn how to transform and analyze data within your Microsoft Fabric account

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

This course covers everything you need to know to build a basic machine learning monitoring system in Python

Learn to build pipelines that stand the test of time.